Bioelectric Potential in Next-Generation Organoids: Electrical Stimulation to Enhance 3D Structures of the Central Nervous System

Introduction

The differentiation of pluripotent stem cells (PSCs) into multicellular tissue has been studied since the establishment of the first mouse embryonic stem cell lines in the 1980s (Evans and Kaufman, 1981; Martin, 1981). Stem cell technology has greatly benefited the study of the human central nervous system (CNS). Comprised of the brain, spinal cord, retina and olfactory nerve, the CNS is the most complex and critical system of the human body. Thus, as human pluripotent stem cells (hPSCs) emerged, including embryonic stem cells (ECS) and induced pluripotent stem cells (iPSCs), the CNS was a key target for differentiation.

Traditionally, the generation of different cell types in vitro aimed to recapitulate in vivo development by utilising our knowledge of developmental biology. As such, key biochemical cues, such as growth factors and signalling molecules that regulate gene expression, were employed to instruct PSCs to differentiate into various cell types. Two-dimensional (2D) monolayer cultures of neuronal and other CNS-tissues were quickly generated after the discovery of human ESCs (Thomson et al., 1998; Reubinoff et al., 2000; Reubinoff et al., 2001). However, 2D cultures lack the niche and cell-cell interactions that are crucial for CNS function. To address this, studies turned to an additional modality of differentiation: biomechanical (Eiraku et al., 2008; Eiraku et al., 2011; Eiraku et al., 2012). Biomechanical cues, such as extracellular matrix (ECM) scaffolds, alongside biochemical cues, powered the generation of three-dimensional (3D) mini-organs, or organoids, from PSCs.

Various protocols to derive organoid models of the CNS, particularly the brain and retina, have since been developed (Reviewed in Pacitti et al., 2019; Chiaradia and Lancaster, 2020; O’Hara-Wright and Gonzalez-Cordero, 2020). CNS organoids, including those derived from healthy and diseased patient-derived iPSCs, have been used to study disease and development in human tissue at an unprecedented level (Pacitti et al., 2019; Chhibber et al., 2020). As progress in our understanding of neurodevelopment is made, and the field of bioengineering evolves, differentiation protocols have been suitably optimised to generate more robust and advanced organoids. However, CNS organoids still lack many critical components and characteristics of their in vivo counterparts, such as long-term survival, maturing structures, and efficient oxygen transport. Moreover, differentiation protocols can be highly variable and produce heterogenous tissues (Lancaster et al., 2013). Therefore, as we look towards next-generation organoids, culture conditions must be optimised to address these shortcomings. Currently, headway is being made through fine-tuning of bioengineering approaches, such as 3D biomaterial compositions to support structural development, assembloid technology to generate wider CNS structures, or organ-on-a-chip technology to promote oxygenation (Achberger et al., 2019; Bierman-Duquette et al., 2021; Ao et al., 2022; Miura et al., 2022). However, to best replicate organogenesis in vitro, understanding native mechanisms in basic development is crucial.

An additional modality guiding development in vivo, alongside biochemical and biomechanical, is bioelectric communication (Levin, 2014; Newman, 2019). Yet, as a physiological cue, the inclusion of electrical fields in PSC-differentiation systems has been largely ignored. The role of bioelectricity in vivo was first elucidated in the 1800s, with studies on regeneration (Galvani, 1791; Bois-Reymond, 1884; Becker, 1961; Becker and Spadaro, 1972; Borgens et al., 1977; 1979a). Now, emerging evidence implicates bioelectricity in other key biological processes, including development, and differentiation. Low voltage endogenous electric fields (EFs) can be identified in the embryonic CNS during development and the importance of bioelectricity in guiding neural development has been demonstrated in animal models, primary neural cultures, and stem-cell derived cultures of the CNS (Metcalf and Borgens, 1994; Metcalf et al., 1994; Shi and Borgens, 1995). Control of ion flux, through manipulation of ion channels, or application of exogenous electrical stimulation, can be used to manipulate EFs both in vivo and in vitro. Meanwhile, in the field of regenerative medicine, exogenous application of low voltage electrical stimulation has been used to promote CNS regeneration, or prevent degeneration, in the clinic and experimental studies (Fu et al., 2015; Sehic et al., 2016; Marquez-Chin and Popovic, 2020; Hellenbrand et al., 2021; Krauss et al., 2021; Sanie-Jahromi et al., 2021; Sui et al., 2021; Karamian et al., 2022). Bioengineering has interfaced with bioelectricity to deliver exogenous electrical stimulation through conductive biomaterial polymers in basic 3D models of the CNS (Bierman-Duquette et al., 2021). These studies suggest promise in the use of EFs to improve organoid research and differentiation approaches. This could have major implications in the utility of organoids for applications requiring precisely controlled differentiation or high-throughput, such as drug screening. Yet, the use of advanced conductive polymers extends beyond the realm of basic cell biology and detracts from the intrinsic self-organisation capacity of PSC-derived organoids. Many of the biological processes EFs are implicated to control in vivo, such as proliferation and survival, are similar to those that need to be controlled in vitro to improve CNS organoid differentiation. Therefore, enormous potential lies with the utilisation of exogenous electrical stimulation as a powerful, non-chemical and non-genetic tool to improve organoid cultures.

In this Review, we will firstly discuss the current state of PSC-derived CNS organoids, focusing particularly on the brain, and the approaches taken to guide differentiation of CNS tissue in vitro. We will then discuss the role of bioelectricity and endogenous EFs in vivo, and the lessons we have learnt about the role of bioelectricity in the CNS. Next, we will briefly review the importance of bioelectricity and endogenous EFs in key biological processes, before highlighting the key findings from studies which have manipulated EFs in vivo and in vitro. We will discuss the pertinence of these bioelectric-driven phenomena to improving 3D organoid cultures and describe the key few studies implementing bioelectricity and bioengineering in 3D CNS tissues. Finally, we will outline future studies that must be conducted to best utilise bioelectricity for organoid engineering. These include the proper evaluation of stimulation in various differentiation protocols and omics characterisation to understand mechanisms.

Recapitulating Central Nervous System Development in the Dish

The vertebrate CNS encompasses the brain, spinal cord, neural retina and olfactory nerve (Northcutt, 1984). Distinct from the peripheral nervous system, the CNS acts as a processing centre for most necessary bodily functions. Conditions affecting the CNS present an increasing global disease burden. In recent years, neurological disorders have been the foremost cause of disability-adjusted life years, and the second leading cause of death (Feigin et al., 2019). The study of the human CNS has been greatly limited by the inability to study tissue anatomy in vivo and tissue scarcity ex vivo. Whilst model organisms provide invaluable insights into CNS biological processes and mechanisms of disease, the complexity of neural networks and retinal architecture in humans remains unrivalled in comparison to lower order animals (Gibson, 1938; Uga and Smelser, 1973; Zhao and Bhattacharyya, 2018; Desmoulin-Canselier and Moutaud, 2019). The advent of PSC technology has allowed generation of human CNS derivatives in the dish (Figure 1A).

FIGURE 1

FIGURE 1. Generation of pluripotent stem cell-derived organoid models of the central nervous system (CNS). (A) Human pluripotent stem cells (hPSCs) can be isolated from the inner cell mass of an embryo- embryonic stem cells (ESCs). Alternatively, patient-dervied somatic cells can be reprogrammed to induced pluripotent stem cells (iPSCs). (B) Pluripotent stem cells can be differentiated into 3D aggregates which form embryoid bodies and neuroepithelial vesicles. Biomechanical and biochemical differentiation cues have been implemented to generate 3D organoid structures, but bioelectric cues of differentiation remain unexplored. (C) In unguided CNS organoid protocols, differentiation relies on the intrinsic self-organisation properties of PSCs, to generate cerebral brain organoids or retinal organoids. Meanwhile, guided protocols employ exogenous growth factors to generate brain-region specific organoids, spinal cord organoids, or retinal organoids.

Soon after the establishment of the first human ESC line in 1998, differentiation of neuronal cultures was achieved (Thomson et al., 1998; Reubinoff et al., 2000; Reubinoff et al., 2001). Despite the complexity of neurogenesis, PSC-derived monolayer cultures were shown to readily and faithfully differentiate into a neuroectoderm lineage with accordingly dynamic and stage-specific gene expression profiles (Yeo et al., 2013; Wu et al., 2010; Fathi et al., 2011). Moreover, the default differentiation path of PSCs was identified to be neural (Eiraku et al., 2008). Transcriptomic analysis confirmed hESC-derived neuronal cultures resembled in vivo human neurons, particularly of the foetal brain (Pai et al., 2012). Thus, even in conditions of minimal growth factors, the biochemical cues required to drive neuronal differentiation are somewhat intrinsically provided by endogenous signalling of PSCs. However, to produce alternative CNS-derivative cells from PSCs, suitable biochemical cues were required. For example, culturing in the presence of epidermal growth factor (EGF) and fibroblast growth factor (FGF)-2, known to promote proliferation of glial precursor cells, and timed addition of tri-iodothyronine (T3), which induces oligodendrocytes, was used to derive glial cell lineages (Murray and Dubois-Dalcq, 1997; Brüstle et al., 1999; Reubinoff et al., 2001).

Similarly, by mimicking the biochemical controls governing in vivo embryonic head development, antagonism of Wnt and BMP with DKK1 and Noggin promoted an anterior neural fate of PSCs (Glinka et al., 1997; Mukhopadhyay et al., 2001; Banin et al., 2006; Lamba et al., 2006). Later addition of IGF-1, known to induce ectopic eye formation in animal models, differentiated cells further to a retinal lineage (Pera et al., 2001; Richard-Parpaillon et al., 2002; Lamba et al., 2006). However, 2D monolayer cultures could never replicate the complexity of the in vivo CNS. The cytoarchitecture and interactions of networks of cells within their 3D environment is critical to the function of the brain, spinal cord, retina and olfactory structures, both as individual structures and an integrative system. Therefore, in attempting to better model CNS tissue in the dish, the development of 3D hPSC-derived organoids was pivotal. The pioneering work of Yoshiki Sasai demonstrated that PSCs grown in suspension, rather than 2D monolayers, form embryoid body aggregates which acquire a neural fate tissue-autonomously (Eiraku et al., 2008). The group cultured mouse PSCs in suspension without serum, forming embryoid bodies, before allowing them to re-aggregate in a 96-well plate to form 3D tissue of neuroectodermal origin. This neuroectodermal-like epithelium differentiated into multi-layered cortical tissue, containing progenitor cells and neurons (Eiraku et al., 2008). Serum-free culture of embryoid body-like aggregates with quick-reaggregation, or SFEBq, thereby formed the basis of early 3D neural differentiation protocols, and the predecessor to the CNS organoid. Notably, it was the consideration of the physical microenvironment, by transitioning the cultures to suspension, that mediated the formation of this 3D tissue. Soon afterwards, modification of the SFEBq method with the addition of Matrigel to provide ECM, lead to the generation of neuroepithelial cysts which self-organised into optic cups resembling the in vivo retina (Eiraku et al., 2011). These may be considered the first true CNS organoid: 3D retinal structures with stratified neuroepithelia containing all major retinal cell types. The authors considered the complex forces controlling embryonic retina development and the sequential invagination and evagination folding processes (Eiraku et al., 2011; Eiraku et al., 2012). Matrigel, primarily containing laminin, aided the creation of a basement membrane structure for the aggregate to invaginate around. The inclusion of a biomechanical stimuli thereby facilitated organotypic-like development in vitro (Figure 1B) (Eiraku et al., 2011; Eiraku et al., 2012). Sasai’s group subsequently demonstrated differentiation of human PSC cultures to retinal and various neural 3D structures. With temporal addition of growth factors, agonists or inhibitors of FGF, Wnt, and BMP signalling networks, differentiations of forebrain, neocortex and hippocampus lineages were achieved (Kadoshima et al., 2013; Muguruma et al., 2015; Sakaguchi et al., 2015). Studies have therefore demonstrated competence of PSC-derived organoid cultures to respond to both biochemical and biomechanical stimuli, and through diversification of these cues, organotypic cultures of different CNS structures are derived, including the brain, spinal cord and retina (Figure 1B).

Guided Approaches to Brain Organoid Differentiation

Brain organoid protocols can be broadly classified into two approaches- guided and unguided (Figure 1C). In guided approaches, building on the work of Sasai, exogenous patterning molecules are added to guide differentiation to the desired neural lineage (Eiraku et al., 2008; Eiraku et al., 2011). This has permitted brain-region specific organoid generation, including forebrain, midbrain, and hypothalamus (Qian et al., 2016; Xiang et al., 2017; Qian et al., 2018; Sloan et al., 2018; Cederquist et al., 2019; Kim et al., 2019). For example, manipulation of Sonic Hedgehog signalling patterns forebrain organoids into dorsal and ventral subdomains, better mimicking in vivo topology (Cederquist et al., 2019). Treatment with brain-derived neurotrophic factor (BDNF), glial cell line–derived neurotrophic factor (GDNF) and ascorbic acid guides differentiation to the midbrain and brainstem lineage (Eura et al., 2020). Sequential BMP and SMAD inhibition and activation promotes continued differentiation and maintenance of dopaminergic neurons within midbrain organoids (Jovanovic et al., 2018). Alternatively, at the neuroectodermal stage, addition of WNT3A and Hedgehog pathway agonist, Purmorphamine, induces the hypothalamic lineage (Qian et al., 2016).

Unguided Approaches to Brain Organoid Differentiation

Unguided approaches, however, depend on the spontaneous self-organisation capacity of PSC-derived aggregates. Lancaster and Knoblich generated the cerebral, or “whole-brain” organoid, self-patterned PSC-derived aggregates embedded in Matrigel (Figure 1C) (Lancaster and Knoblich, 2014). These are heterogenous structures, comprised of multiple neural cell types within discrete regions. The addition of Matrigel for ECM provides a scaffold for neuroepithelial budding, and these buds may expand and migrate and assume polarity to differentiate into various brain regions, including forebrain, midbrain, hindbrain, choroid plexus, and retina. Single cell RNAseq confirmed the identity of neural progenitor cells, astrocytes, oligodendrocyte-like precursors and excitatory neurons, along with photosensitive retinal cells (Quadrato et al., 2017). After 4 weeks in vitro, cerebral organoids show regional identities, such as FOXG1 demarcating the forebrain, whilst expression of TTR delineates the choroid plexus and FZD9 the hippocampal-like region (Lancaster and Knoblich, 2014; Quadrato et al., 2017).

Thinking Outside of the Brain: Retina, Spinal Cord, Olfactory

In vertebrates, the retina and olfactory nerve are considered an extension of the CNS. The retina is a multi-layered tissue comprising of seven cell subtypes, each highly specialised to their respective role in the light-induced phototransduction cascade. After the initial demonstration of the first CNS organoid, using the SFEBq method, retinal organoid protocols have evolved and diversified (Eiraku et al., 2011). Similarly to the brain, organoid differentiation approaches can be guided, with temporal addition of small molecules and factors informed from studies of in vivo retinal development (Meyer et al., 2011; Kuwahara et al., 2015; Mellough et al., 2015; Singh et al., 2015). Other groups rely more on self-patterning of PSCs, employing minimal additional factors at early stages (Reichman et al., 2014; Zhong et al., 2014; Gonzalez-Cordero et al., 2017; Reichman et al., 2017).

Resulting organoids mimic in vivo developmental timeline and lamellar organisation and have informed knowledge of human retinal development (Reviewed in O’Hara-Wright and Gonzalez-Cordero, 2020). Retinal organoids are also amiable to longer-term maintenance than brain organoids, and electrophysiology and calcium-mediated functionality has been described (Zhong et al., 2014; Mellough et al., 2015; Reichman et al., 2017; Gagliardi et al., 2018; Cowan et al., 2020; Saha et al., 2022). Technology towards modelling the olfactory system in vitro, on the other hand, remains underdeveloped. Recently, three-dimensional culture of primary olfactory progenitor cells has been achieved with Matrigel encapsulation and guided differentiation (Ren et al., 2021). However, the generation of true olfactory organoids has not yet been demonstrated.

The other major component of the CNS, the spinal cord, is responsible for neurotransmission between the interconnecting motor cortex and medulla oblongata of the brain (Bican et al., 2013). The spinal cord co-ordinates highly organised neural circuits, and morphogenesis is accordingly complex. Study of the spinal cord in vivo in humans is greatly hampered by inaccessibility, making it an ideal target for in vitro recapitulation. Spinal cord organoids have been derived via adaptation of guided brain organoid protocols, implementing Matrigel encapsulation and spinning flasks (Hor et al., 2018). Patterning of spinal cord organoids mimics in vivo axes and morphogen gradients, which is not observed within 2D cultures (Hor et al., 2018; Winanto et al., 2019). Optimised guided protocols implementing small molecules, particularly fine-tuning of BMP4 to mimic in vivo development, also guides spinal cord organoid morphogenesis in vitro (Duval et al., 2019). Resultant spinal cord organoids generate a range of cell sub-types.

Albeit the remarkable process in the field of CNS organoids and some demonstrations of functionality, the generation of a multi-organ broader CNS system in the dish has not been possible and maturation is still limited. Therefore, we are still a very long way from truly recapitulating CNS development in vitro. Engineering the next-generation of organoids may require turning to an additional modality to direct differentiation. It is widely established that bioelectricity, along with biochemical and biomechanical signals, plays an important developmental role (Levin, 2012; Levin, 2014; Levin, 2021). Yet studies of PSC-derived CNS organoids have not considered the role of bioelectric cues in CNS morphogenesis and attempted to recapitulate these in the dish. Recently, there has been a renewed interest in the phenomena of bioelectric-driven processes, particularly relating to nervous system development and neural differentiation (Bertucci et al., 2019; Lancaster, 2019; Bierman-Duquette et al., 2021). It may now be pertinent to consider the body of research relating to intrinsic electric fields in development, and previous studies applying electric fields to stem-cell derived cultures. By reviewing the lessons learnt from these studies, alongside the specific shortfalls in current organoid models, bioelectricity could be exploited to engineer next-generation CNS organoids.

Biological Electrical Fields In Vivo: the Transepithelial Battery

In vivo, cells exhibit endogenous electrical fields (EFs). Ions, and other charged biomolecules are segregated between the extra- and intracellular spaces by impermeable membranes. Ions can flow within the cell (trans-cellularly) in an apical-basal direction and be selectively transported through ion channels embedded in the membrane (Figure 2A). The asymmetric distribution of ion channels at the apical and basal membranes creates a specific pattern of ions and biomolecules and distinct domains of charges. This creates a difference in the electrical potential between the cell membrane and extracellular space, termed a membrane potential (Vmem) (Figure 2B).

FIGURE 2

FIGURE 2. Endogenous electrical fields and the transepithelial battery. (A) In vivo, all cells exhibit a resting membrane potential due to the segregation of ionic charges. Ion transport channels are asymmetrically distributed across apical and basal membranes. Ion flux occurs transcellularly and ions are selectively transported across the plasma membrane, whilst paracellular transport (between cells) must work against the resistance of tight junctions, adherens junctions and desmosomes. (B) The segregation of ionic charges creates a difference in membrane potential (Vmem) at each apical-basal membrane. All of the segregated chargers in epithelia amount to a transepithelial potential difference (VTEP). (C) When the epithelium is breached, the VTEP drops and ionic current flows out from the site of wound. Thus, the epithelial works as a battery to mediate wound repair.

In contrast to rapidly firing action potentials in excitable cells, endogenous EFs are steady or slow changing gradients present in all cell types. As low magnitude potentials, these are typically close to the resting neuron potential of ∼ −70 mV in differentiated cells, and lower yet in embryonic cells (McCaig et al., 2009). This Vmem of every cell in an epithelium amounts to a transepithelial potential difference (TEPD). Ionic current flows across the cell, transcellularly, to the extracellular space, and returns between the cells, paracellularly. The presence of tight junctions at the apical side of the intercellular space provides a barrier to ion flux. Thus, we can think of an epithelium like a battery (Figure 2B). A TEPD results from ionic segregation which is sustained by ionic pumps and channels, and these work against the resistance of tight junctions, and lesser so adherens junctions. The paracellular junctions therefore typically maintain a positive current basolaterally, and the level of resistance encountered at the junctions determine the TEPD, within a typical range of 15–60 mV (McCaig et al., 2009; Montalbetti and Fischbarg, 2009; Dubé et al., 2010). This intrinsic bioelectricity was early identified for involvement in development, regeneration and wound healing. Functional investigation established the existence of small endogenous EFs at the regeneration bud, or blastema- the mass of undifferentiated cells at amputated amphibian limbs (Becker, 1961). Limb regeneration was determined to be dependent on electrochemical activity, and enhancement or introduction of EFs promotes regeneration, even in typically non-regenerative amphibian and mammalian tissue (Becker, 1961; Becker and Spadaro, 1972; Borgens et al., 1977; Borgens et al., 1979a; Borgens et al., 1979b). Remarkably similar and steady endogenous EFs to those present in the amphibian blastema were also identified in the blastema of the amputated digit of human children (Illingworth and Barker, 1980). Known as the injury potential, or demarcation current, a difference in electrical potential is created between intact epithelium and the site of a wound (Jia et al., 2021). The TEPD at the site of injury falls and current “leaks” out from the wound edge, being the pathway of least resistance, creating an electrical field (Figure 2C). Whilst regeneration can be defined as the recreation of tissues in response to damage or degeneration, development refers to the morphogenetic transformation of the embryo to differentiated tissue. However, biologically speaking, development and regeneration require the same processes: the division, migration, and differentiation of pluripotent cells into multicellular tissues and organs. It therefore follows that EFs have a pivotal role in embryogenesis. In vertebrates, gradients of electric field activity are identifiable in the very early two-cell stage embryo (Levin et al., 2002). The first description of endogenous electrical currents in embryology was given in day 2–4 chicken embryos (Hotary and Robinson, 1990). Using a vibrational probe, an EF of 20 mV/mm was measured at the site of the presumptive hindgut (Hotary and Robinson, 1990). This stage of development co-occurs with the degeneration of gut intestinal epithelium, thus, as in the case of a wounded epithelium, providing a pathway of less resistance for leakage of current. It was soon thereafter established that endogenous EFs play a crucial role in the morphogenesis of the CNS. In the axolotl embryo, an endogenous EF of 10 mV/mm is generated from under the neural plate, polarising the embryo along the rostral/caudal axis during neurulation (Metcalf et al., 1994; Shi and Borgens, 1995). As the architecture of the neural tube takes forms, the neural folds provide a pathway of lesser resistance for current flow. Remarkably, in the Xenopus, artificial manipulation of transmembrane potential is sufficient to induce ectopic eye formation during early embryogenesis (Pai et al., 2012; Blackiston and Levin, 2013). Modification of endogenous EFs during neurulation by as little as 5–25 mV/mm, through application of artificial voltage, results in developmental abnormalities (Metcalf and Borgens, 1994). Of note, this effect is stage-dependent, and exposure to artificial EFs at the earlier gastrula stage does not impact embryo development. This suggests that timed EF exposure, similarly to spatiotemporal distribution of biochemical and biomechanical stimuli, has a powerful ability to guide morphogenesis.

Harnessing Electrical Fields In Vivo and In Vitro

Accordingly, differentiation of PSCs could benefit from the consideration of EFs. Whilst endogenous EFs exist in vivo, it is also possible to apply exogenous EFs, via electrical stimulation, or alter endogenous EFs via manipulation of ion channels. The parameters of electrical stimulation, namely waveform, intensity, frequency and duration can be varied according to purpose. Numerous studies demonstrate EF modulation to target the CNS both in vivo in animal models, clinical studies, or in vitro in cell cultures (Sehic et al., 2016; Bertucci et al., 2019; Lancaster, 2019; Mobini et al., 2019; Krauss et al., 2021; Sanie-Jahromi et al., 2021). By increasing or decreasing EFs, studies have demonstrated the importance of endogenous EFs in normal development (Levin, 2012; Smith et al., 2018; Iwasa et al., 2019; Sefton et al., 2020; Levin, 2021). Additionally, the utility of EF modulation to produce desired effects in vitro has been revealed, such as increased differentiation, survival or maturation of CNS cells (Figure 3) (Bertucci et al., 2019; Mobini et al., 2019; Bierman-Duquette et al., 2021; Hlavac et al., 2021). Whilst exact mechanisms of action are not understood, the beneficial effects of EF modulation have been accepted in vivo for multiple tissues and organs, including bone and cardiac (Leppik et al., 2018; Watson et al., 2019). Electrical stimulation-based treatments are now being implemented in the clinic, particularly for the brain (Sparing and Mottaghy, 2008; Fedorov et al., 2010; Kubis, 2016; Desmoulin-Canselier and Moutaud, 2019; Krauss et al., 2021; Sui et al., 2021).

FIGURE 3

FIGURE 3. Electrical stimulation of cells mediates cell-cycle related phenotypes. Electrical stimulation of CNS cells both in vivo and in vitro has been found to regulate the cell cycle at various phases. This may lead to an increase in cell survival, migration, proliferation, or alternatively exiting the cell cycle to increase cell differentiation and maturation.

Applying Electrical Fields in the Brain

Electrical stimulation of the brain is beneficial for neurological disease, psychiatric disease and brain tumours. Non-invasive methods, including transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS) have been shown to facilitate motor recovery in stroke patients (Webster et al., 2006; Fedorov et al., 2010; Kubis, 2016). Non-invasive stimulation of glioblastoma patient brains, for 20 min at a desired field strength of 0.25 V/m, altered cerebral blood flow and aided necrosis of the tumours (Sprugnoli et al., 2019). Alternatively, epidural cortical stimulation (ECS) and deep-brain stimulation, involve direct implantation of electrodes into the brain, to provide more focal electrical stimulation (Nahas et al., 2010; Balossier et al., 2015; Sui et al., 2021) (Figure 4C). This exerts desirable effects on neuroplasticity, improving neural network connectivity and topological reorganisation in cases of neurodegeneration (van Hartevelt et al., 2014). Typically, patients receiving deep-brain stimulation, such as those suffering from neurodegenerative diseases, are adults with fully formed neural structures. However, the adult brain contains a small population of neural stem cells (NSCs) arising from the subventricular zone. NSCs are self-renewing and multipotent, giving rise to neural progenitor cells (NPCs). NPCs, which have a finite replication potential, form most, if not all, of the neural and glial cells of the CNS (Morest and Silver, 2003; Merkle et al., 2004). NSCs or NPCs can be isolated from primary brain and cultured in vitro, both in 2D, or 3D aggregates deemed neurospheres (Figure 4A). In contrast to organoids, neurospheres lack cytoarchitecture or complex organotypic-like organisation. Nonetheless, when engineering neural organoids, we aim to replicate neurogenesis in vitro via guiding PSCs into NPCs, before forming more mature neural and glial subtypes. It is therefore interesting to consider the effect of EF modulation on neural stem cell, progenitor cell populations or neurospheres.

FIGURE 4

FIGURE 4. Electrical stimulation of CNS cells: moving towards PSC-derived organoids. (A) Multipotent neural stem cells can be isolated from the primary brain and differentiated to neural progenitor cells and neurons. Alternatively, pluripotent stem cells can be differentiated into a neural lineage. Electrical stimulation studies have been undertaken on these two-dimensional systems. (B) Three-dimensional systems which have been employed to study electrical stimulation in vitro include primary brain slices (an ex vivo model of the CNS), and neurosphere aggregates derived from neural progenitor cells. However, the study of electrical stimulation on pluripotent stem cell-derived brain organoids remains unexplored. (C) In vivo, electrical stimulation of the brain is performed on patients either using invasive methods, whereby electrodes directly contact brain regions, or non-invasively. To mimic in vivo brain stimulation in in vitro models of the brain, conductive polymers within 3D hydrogels have been utilised. (D) However, to best apply electrical stimulation to PSC-derived CNS organoids, suitable delivery platforms must be established. A single well system allows controlled delivery of electrical stimulation, whilst a multi-well plate system is higher-throughput to allow in situ electrical stimulation of cells. Electrodes can be configured in arrays, or pairs, generating electrical fields between each cathode (+) and anode (−). (✔), electrical stimulation experimentation performed; (?), not yet explored.

Effects of brain stimulation from the clinic have been translated to NPCs and NSCs in vitro. Many studies demonstrate neural cells are electrosensitive, responding with behavioural or functional changes to EFs. Applied exogenous electrical stimulation promotes survival of NSCs both in vivo and in vitro (Du et al., 2018; Sefton et al., 2020). Specifically, Sefton et al. (2020) demonstrate a significant increase in the number NPCs in neurospheres stimulated at 250 mV/mm for 3 h, formed from mouse brain-derived NPCs in vitro. NPCs in stimulated neurospheres were identified to have an increased capacity for survival, with an increased number of cells entering S-phase of the cell cycle. Interestingly, addition of stimulated conditioned media to non-stimulated neurospheres was not sufficient to induce this increased neurogenesis phenotype. Thus, niche-released factors were not responsible for the increase in neurogenesis, but rather intrinsic cell cycle modulation (Figure 3) (Sefton et al., 2020). In foetal NPCs derived from the mouse embryo, brief (50 μs or 200 μs) low-voltage biphasic electrical stimulation pulses significantly promoted cell proliferation (Chang et al., 2011). Similar phenotypes have been identified in vivo, where stimulation of the adult mammalian cortical brain via electrode implantation, leads to an increase in the proliferative pool of NPCs (Stone et al., 2011; Sefton et al., 2020). Targeted stimulation of the Entorhinal Cortex (EC), a region of the mouse hippocampus, resulted in increased proliferative cells in a projecting region, the denate gyrus. Remarkably, once these cells matured and integrated into hippocampal neural circuits, an increased spatial memory response, measured by water maze, was observed (Stone et al., 2011). In humans, the brains of neurodegenerative patients who received deep-brain stimulation have been examined by immunohistochemistry (Vedam-Mai et al., 2014). Compared to brains of unstimulated patients, the levels of proliferative cells in the subventricular zone, the birthplace of NPCs, were two-six fold greater (Vedam-Mai et al., 2014). From the subventricular zone in vivo, NPCs must also migrate long-distance, particularly to give rise to the olfactory bulb. Migration occurs along a route deemed the rostral migratory stream (Lois and Alvarez-Buylla, 1994; Curtis et al., 2007). Endogenous electrical fields, with a field strength of ∼3 mV/mm, help to guide this migratory behaviour (Cao et al., 2013). Further studies have identified endogenous EFs surrounding the cerebral cortex capable of inducing migration of transplanted NPCs (Iwasa et al., 2019). In vitro, application of physiologically relevant EFs to rat embryonic brain-derived NPCs facilitates migration towards the cathode (Li et al., 2008). Thus, it is postulated that NPCs respond to electrical stimulation, both in vivo and in vitro with directed migratory behaviour (Babona-Pilipos et al., 2011; Babona-Pilipos et al., 2015; Feng et al., 2017; Iwasa et al., 2019; Sefton et al., 2020). Application of exogenous EFs can alter endogenous EF-guided migrations but may not be sufficient to reverse endogenous EF effects entirely (Iwasa et al., 2019).

Collectively, studies described in this review indicate the viability of cells in vivo and in vitro in mild electrical fields conditions, typically within a range of 25-250mV/mm (Wang et al., 2013; Sefton et al., 2020). However, as with all cell-cycle related effects, manipulation of electrical fields may either promote, inhibit, or exert no effect on cell death mechanisms. This likely depends on stimulation parameters, and tissue of interest. Electrical stimulation of cells in vitro suggests a proportional relationship between cell death and the duration and number of electrical stimulation pulses (Matsuki et al., 2010). Furthermore, electrical stimulation at higher voltages induces formation of pores in cell membranes (electroporation) which may result in induction of apoptosis or necrosis with prolonged pulse lengths beyond the nano-second scale (Oshima et al., 1997, Oshima et al., 1998; Hofmann et al., 1999; Al-Sakere et al., 2007). Researchers have appropriately manipulated the parameters of electrical stimulation in vivo and in vitro to target aberrantly dividing malignant cells, and promote tumour ablation (Wang et al., 2012; Chen et al., 2014). However, the application of low voltage biomimetic electrical fields, below those capable of breaking the membrane, may also induce apoptosis of carcinogenic cells, specifically through increased Ca²⁺ transport (Matsuki et al., 2010). Mild (15 V, 7.5 V/mm) EF-induced Ca²⁺ flow, promotes apoptotic signalling through the activation of caspase-8 and caspase-9, upstream of caspase-3 (Matsuki et al., 2010). Promisingly, most reports of cell death-related phenotypes in response to electrical stimulation of the CNS describe a reduction in apoptosis. In vivo application of electrical stimulation to the cerebral cortex exerted anti-apoptotic effects in an ischemic stroke rat model, whereby ischemia-induced cell death is a major aetiology (Baba et al., 2009). The phosphoinositide 3-kinase (PI3K) pathway, a major player in cell cycle regulation, survival and apoptosis, is activated in the electrically stimulated cerebral cortex, leading to a reduction in apoptosis and ischemia-induced pathology. These findings were similarly confirmed in vitro using primary rat-derived NPCs from the olfactory bulb (Wang et al., 2013). Specifically, the authors examined the effects of biphasic pulsed mild EFs on growth factor-deprivation activated apoptosis. Electrical stimulation at 25 mV/mm and 50 mV/mm decreased rates of apoptosis and necrosis in NPCs cultured in serum-free conditions. Specifically, these neuroprotective effects were inhibited via blocking of PI3K/Akt (Wang et al., 2013). Electrical stimulation upregulated phosphorylation of Akt, and despite the absence of growth factors in culture conditions, BDNF was upregulated after continued (12 h) stimulation (Wang et al., 2013). Since PI3K signalling is a major cell cycle regulator, EF-induced mechanisms may control multiple fundamental processes, including survival, proliferation and differentiation, along with apoptosis. Similarly, growth factor BDNF contributes to neural cell survival, growth, differentiation and maturation. Therefore, multiple studies demonstrated that EF modulation could mediate distinct control of cell cycle and survival. These changes may also translate to changes in neurogenic differentiation capacity and the profile of stem cell-derived neural populations (Figure 4).

Electrical stimulation is reported in multiple studies to increase differentiation of NSCs and progenitor cells into neurons and oligodendrocytes both in vivo and in vitro (Ariza et al., 2010; Stewart et al., 2015; Chang et al., 2016; Du et al., 2018; Dong et al., 2019; Sefton et al., 2020). EFs of ∼300–400 mV/mm are reported to increase neurogenesis of Beta tubulin III + neurons, whilst field strengths of lower magnitudes may promote NPC proliferation and expansion in favour of differentiation (Ariza et al., 2010; Dong et al., 2019; Sefton et al., 2020; Hlavac et al., 2021). In vivo, hyperpolarisation of cerebral progenitor cells (radial glial) via over-expression of potassium channels, induced pre-emptive differentiation of typically later-born, mature neural subtypes (Vitali et al., 2018). Lineage tracing determined EF modulation via ion channel manipulation specifically regulated the division mode of NSCs. Notably, effects on neuronal subtype fate determination could be reversed with de-polarisation (Vitali et al., 2018). Thus, in vivo, modified EFs can function as fate determinants for NPCs. The increased maturation of NPCs in response to increased TEPD is a cue that could be mimicked in vitro to promote neurogenesis and maturation. Studies examining EF modulation of human NSC lines also identified altered fate bias. Exogenous electrical stimulation of human NSCs increased induction of neuron differentiation, as defined by a larger population of cells expressing neuron marker MAP2 (Stewart et al., 2015; Tomaskovic-Crook et al., 2019). Within these stimulated MAP2+ neurons, an increase in neurite outgrowth was also observed (Stewart et al., 2015; Tomaskovic-Crook et al., 2019). Increased EF-induced neurite branching and length is similarly found in studies applying exogenous electrical stimulation to foetal mouse-derived and immortalised human brain derived-NPCs (Chang et al., 2011; Pires et al., 2015). Sufficient neurite branching is important for formation of functional neuronal networks, suggesting stimulation could also enhance the structure and functionality of in vitro CNS models. Taken together, these findings indicate a potential for EF modulation to promote cell cycle-related effects in neural cells (proliferation, survival and differentiation) to aid recapitulation of neurogenesis from PSCs.

Pluripotent Stem Cells-Derived Cultures: What Do We Know So Far?

Surprisingly, studies translating these findings into neural differentiation of ESCs and iPSCs are very limited. Yamada et al. (2007) described the first study showing mild electrical stimulation of mouse ESCs resulted in increased propensity for neural differentiation. The ESC-derived NPCs generated from electrically stimulated cultures were reported to have a broad capacity for neuronal subtype specification, with greater plasticity than early ESC-derived 2D neuronal differentiations (Yamada et al., 2007). Furthermore, when transplanted into injured spinal cord, NPCs from stimulated mESC-derived cells were more capable of incorporating and forming neural cells than unstimulated controls (Yamada et al., 2007). Previous findings of EF-induced differentiation and fate determination in studies using primary or human NSC lines, were similarly replicated in iPSC-derived neuronal cultures (Stewart et al., 2015; Tomaskovic-Crook et al., 2019; Tomaskovic-Crook et al., 2020; Oh et al., 2021). Specifically, iPSCs were cultured in clusters in suspension within a polymer, followed by neuronal differentiation and electrical stimulation. The resultant neuronal cultures contained more MAP2+ neurons and fewer glial cells than unstimulated counterparts (Tomaskovic-Crook et al., 2020).

Since PSCs are prone to genomic and epigenetic instability, there may be hesitancy to apply exogenous stimuli which could adversely alter pluripotent capacity. However, exogenously stimulated human ESCs and iPSCs have been demonstrated to give rise to all three germ layers, with accelerated or enhanced differentiation capacity (Yamada et al., 2007; Tomaskovic-Crook et al., 2020). In vivo, endogenous EFs are present at stages overlapping with the division of pluripotent embryonic stem cells (Levin et al., 2002). Therefore, EF modulation has the potential to aid morphogenesis from the earliest stage in vitro and effects of EF-modulation prior to the NPC stage should not be overlooked. Further studies on electrical stimulation of PSCs and ESCs are required to understand EF-induced fate determination, which will aid optimisation of PSC differentiation protocols.

Enhancing Organoid Cultures With Bioelectricity

A Potential Tool for Next Generation Central Nervous System Organoids

In summary of the above, EFs are capable of enhancing neurogenesis both in vitro and in vivo. Despite the overwhelming evidence that endogenous electrical stimulation promotes neurogenesis, researchers are yet to explore the potential of bioelectric cues in guiding PSC-derived CNS organoids. The proof-of-principle studies on mouse and human iPSCs and ESCs support the ability of electrical stimulation to be employed in neural cultures at the PSC stage without hampering differentiation capacity (Yamada et al., 2007; Tomaskovic-Crook et al., 2020). The biological processes regulated by EFs in NSC and NPC cultures, align closely with the processes involved in generating, and optimising, PSC-derived organoids. This includes increases in survival, proliferation, differentiation and maturation of neural cells (Figures 3, 5).

FIGURE 5

FIGURE 5. Electrical stimulation to improve PSC-derived CNS organoids. (A) In current standard culture conditions, PSC-derived organoid systems, for example neural organoids, have several problems or shortcomings. Organoids may be heterogeneous and exhibit inter-differentiation or inter-cell line variability. Neural stem cells may have a low differentiation efficiency, and neural progenitor cells may have a variable growth rate. With increased time in culture, neural networks begin to form but neurite outgrowth and branching may be minimal, limiting functionality. As organoids continue to grow, oxygen transport to the centre of the organoid is limited, leading to the formation of a necrotic core. (B) Electrical stimulation of neural organoids may enhance phenotypes relating to the current problems in organoid cultures. Functioning as an additional physiological cue, electrical field modulation may reduce heterogeneity in differentiation and enhance neurogenesis. Neural stem cells and progenitor cells may have an increased capacity for differentiation and proliferation. Electrical fields may also promote neurite outgrowth and branching, creating more mature neural networks with more potential for functionality. Electrical fields may also prevent apoptosis and enhance cell survival, decreasing the formation of necrotic core in older organoids. (C) Many potential molecular mechanisms are implicated to respond to electrical field modulation, including transient oxidative or ionic signals, and canonical signaling networks capable of regulating a wide-range of cell cycle-related and metabolic processes. Electrical stimulation-induced signals may therefore act throughout organoid development to induce phenotypes that could improve organoid development, differentiation and maturation. BDNF, Brain derived neurotrophic factor; GDNF, glial cell line–derived neurotrophic factor; PI3K, phosphoinositide 3-kinase; ROS, reactive oxygen species.

PSC-derived brain organoids represent one of the most advanced in vitro human PSC-derived models. However, several unpredictable variables continue to arise in culture. For example, in the case of unguided organoids, reliance on self-patterned differentiation results in variability from batch-to-batch differentiation and heterogeneity of organoids (Figure 5A). Non-neuroectodermal cells are also identifiable in cerebral organoids (Quadrato et al., 2017). Given that studies unanimously report EF modulation to have an inducing and enhancing effect on neurogenesis, exploiting EFs in organoid cultures could be a legitimate approach to improving the success rate of neurogenesis and reducing differentiation heterogeneity (Figure 5B). Electrical stimulation of ESCs in vitro is reported to bias fate towards NPCs (Yamada et al., 2007). Furthermore, PSCs stimulated at early phases of brain organoid differentiation may offer more robust induction of neuroectodermal, and subsequent neural lineage cells.

Guided protocols offer less batch-to-batch variability. However, the addition of extrinsic factors does not account for existing endogenous levels of molecular cues present in PSCs. PSC lines vary intrinsically and therefore each new protocol needs to be optimised to generate the desirable cytoarchitecture (Strano et al., 2020). This is also a more artificial style of differentiation, which may be suitable for high-throughput studies such as drug screening, but less appropriate for studies of development or fate determination. EF modulation is reported to upregulate neurotrophic factors, particularly in a 3D environment, therefore electrical stimulation of brain organoids could endogenously upregulate key neural-determinant signalling molecules (Figure 5C) (Song et al., 2019). This would offer a valuable opportunity to reduce addition of extrinsic factors in organoid differentiation, both limiting interference in the intrinsic differentiation process and associated costs for laboratories.

In the case of cerebral organoids with multiple regions, the 3D tissues grow to a considerable size, up to 4 mm in diameter, and transport of oxygen and nutrients becomes limited, restricting overall organoid growth and maturation (Sutcliffe and Lancaster, 2019). To counteract this, cultures are maintained on spinning bioreactors or shakers to improve oxygen diffusion in the media and thereby organoid survival (Lancaster et al., 2013; Lancaster and Knoblich, 2014; Qian et al., 2016). However, EF-induced effects on increased cell survival and reduced cell death hold promise for additional implementation in organoid cultures.

To enhance brain organoids functionality, the formation of mature neural networks is key. Both primary and PSC-derived neural cells respond to electrical stimulation with increased neurite outgrowth (Fields et al., 1990; Chang et al., 2011; Pires et al., 2015; Stewart et al., 2015; Tomaskovic-Crook et al., 2019). Electrical stimulation is able to rescue stunted neurite growth in neuregulin-1 knockout primary-derived cortical cells (Zhang et al., 2018). Moreover, when comparing electrical stimulation in a 2D versus 3D environment, whilst 2D cells exhibited increased neurite outgrowth from individual cells, in 3D cells formed aggregates which in turn formed neurite bundles (Zhang et al., 2018). These projected into neighbouring cell aggregates, creating more complex and dense neural networks that better resemble the in vivo brain (Zhang et al., 2018). Neurite density is tightly linked to pathology in psychiatric, neurodegenerative and neurological disease (Saad et al., 2015; Grussu et al., 2017; Kamagata et al., 2017; Rae et al., 2017; Song et al., 2018; Wang et al., 2019; Prem et al., 2020). The utility of EF modulation to increase neurite outgrowth and neural network density therefore provides a wealth of opportunity to model disease, therapeutics and enhanced functionality of brain organoids in vitro.

Retinal organoids have also been a thriving area of research. Diseases of the retina, such as inherited retinal diseases, or age-related macular degeneration are leading causes of blindness. Similarly to neurodegenerative diseases of the brain, retinal degenerations are amenable to therapeutic EF modulation. Electrical stimulation has been applied to the retina via several modes in vivo, either targeting the retina from the front or side of the eye, non-invasively, or alternatively directly contacting the retinal tissue (sub-retinal). Non-invasive EF modulation has been demonstrated to preserve vision in diseased retina in both animal models and clinical trials (Reviewed in Sehic et al., 2016; Sanie-Jahromi et al., 2021). As with deep-brain stimulation, further studies are required to elucidate full mechanisms of action. The human retina differs significantly from that of lower order animals, and human PSC-derived organoids therefore provide a better platform to study EF-induced therapeutic effects on the human retina. In vitro, primary eye-derived retinal glial cells (Müller Glia) were found to respond to electrical stimulation with increased proliferation and expression of cell fate determinant genes (Enayati et al., 2020). Specifically, this was linked to the action of Calcium signalling (Enayati et al., 2020). Several studies have also reported a regenerative response of the output neurons of the retina, the retinal ganglion cells, in response to biomimetic stimulation (Fu et al., 2015; Gordon, 2016). However, the retina contains multiple cell types which are likely to have differing responses to stimulation. Thereby, testing of stimulation within PSC-derived organoids that contain multiple retinal cell subtypes would allow better characterisation of cell-specific phenotypes.

Spinal cord injuries have a devastating impact on quality of life with a huge global disease burden. Therefore, regenerative medicine approaches, or modelling of diseased spinal cords is a compelling objective. Currently, there is no cure for spinal cord damage and injuries are irreversible. The spinal cord contains a niche of NSCs which do not demonstrate multipotency or undergo neurogenesis in vivo (Johansson et al., 1999; Horner et al., 2000; Shihabuddin et al., 2000). However, when isolated and injected into the brain, spinal cord derived-NSCs are capable of producing neurons (Shihabuddin et al., 2000). This led to the hypothesis that the spinal cord microenvironment is masking the stemness of these cells (Becker et al., 2018). Considering the established role of EFs in modifying the tissue microenvironment to induce neurogenesis, electrical stimulation of spinal cord tissue holds great promise. In vivo, clinical application of electrical stimulation for spinal cord injuries has been reported to restore motor activity in paralysed patients (Reviewed in Marquez-Chin and Popovic, 2020; Karamian et al., 2022). Primary spinal cord-derived NSCs, alike to brain-derived NSCs, respond to EFs with directed migratory behaviour (Babona-Pilipos et al., 2011; Meng et al., 2012). This could be harnessed in vivo, to activate and recruit NSCs to the area requiring regeneration. Moreover, electrical stimulation holds the potential to modulate neuroinflammation, which is a major aetiology of neuronal death following spinal cord injury (Rust and Kaiser, 2017; Hellenbrand et al., 2021). Application of EFs in vivo is demonstrated to reduce inflammatory response in the CNS, partly via microglia deactivation (Ayanwuyi et al., 2021; Park et al., 2021). However, studies of the effects of electrical stimulation on 3D spinal cord injury models are minimal. Meng et al. (2012) describe a protocol to compare EF-induced effects on NPC migration in both a 2D format and 3D ex vivo spinal cord slice platform. Organ slice models present an in vitro system with a microenvironment more representative of in vivo. However, PSC-derived organoids would provide an unlimited resource of spinal cord tissue for study of the complex mechanisms of EF on this unique population of NPCs. Recently, an organ-on-a-chip model using hPSC-derived spinal cord organoids demonstrated electrophysiological function via microelectrode array (MEA) (Ao et al., 2022). Electrical stimulation could easily be implemented in this system to observe neurogenic responses, whilst co-culture with endothelial cells could probe effects on neuroinflammation.

Moving to the Third Dimension: Interfacing With Biomaterials

As researchers in the field have recognised the limitations of 2D-based in vitro models, studies have focused on cultures of NPCs in a 2D or neurosphere format, mediated with biomaterials and scaffolds (Figure 4). Bioengineered polymers and scaffolds represent a unique opportunity to explore electrical field modulation in vitro, due to the ability to confer electro-conductive properties on polymer formulations. Organic polymers can be “doped” with anionic biomolecules to confer innate conductivity and biocompatibility. These electroconductive polymers, such as polypyrrole (PPy) and poly(3,4-ethylenedioxythiophene) (PEDOT) are readily manufactured with bioprinting. An increasing number of studies utilise conductive polymers to deliver electrical stimulation to NSCs and NPCs in vitro for tissue engineering purposes (Reviewed in Bierman-Duquette et al., 2021). In fact, culturing of NPCs on conductive polymers alone, without exogenous stimulation, may enhance the survival and proliferation, polarisation and axonal projections, or differentiation and maturation of NPCs (Luo et al., 2013; Shin et al., 2017; Wang et al., 2018; Garrudo et al., 2019). Promisingly, this has also been linked to improved electrophysiological functionality (Shin et al., 2017). When compared to bare hydrogels, the addition of PPy or carbon nanotube electroconductive motifs in 3D hydrogel-cultured NPCs caused an increase of calcium channel expression, depolarisation and intracellular calcium influx (Shin et al., 2017). Thus, providing an electroconductive environment alone for NPCs may promote endogenously-driven EF-mediated effects.

Combined with exogenous electrical stimulation, studies report the use of conductive polymer 2D-based platforms to enhance or accelerate neurogenesis, differentiation and neural maturation (Li et al., 2013a; Stewart et al., 2015; Kwon et al., 2021; Sordini et al., 2021). Transcriptomic analysis of PPy-stimulated human NPCs, originally derived from ESCs, identified differential expression of multiple genes implicated in survival and synaptic modelling, and the VEGF-A pathway which plays major roles in the cell cycle and neuroprotection (Georges et al., 2006). Advantageously, the use of biomaterials in in vitro cultures has facilitated transformation from 2D-based electrical stimulation to 3D-based studies by utilising biomaterial-based scaffolds (Reviewed in Bertucci et al., 2019). 3D biomaterial-mediated cultures of both brain-derived and iPSC-derived NPCs have been demonstrated to be numerously advantageous to 2D, increasing cell survival, proliferation and maturation (Cukierman et al., 2001; Georges et al., 2006; Banerjee et al., 2009; Chandrasekaran et al., 2017; Mauri et al., 2018). Therefore, emerging studies are now incorporating 3D-based conductive polymer electrical stimulation platforms for NPC culture (Li et al., 2013a; George et al., 2017; Xu et al., 2018; Zhu et al., 2018; Song et al., 2019; Tomaskovic-Crook et al., 2019). Direct comparison of primary mouse NSCs receiving stimulation on a 2D or 3D graphene-based foam identified increased proliferation and differentiation in the 3D-cultured NSCs (Li et al., 2013a). Human brain-derived NSCs, and then later colonies of iPCS, have been cultured and electrically stimulated in a 3D environment via encapsulation with PEDOT-based hydrogels. (Tomaskovic-Crook et al., 2019; Tomaskovic-Crook et al., 2020). In the encapsulated environment, both the iPSCs and NSC formed clusters and differentiated into neurons. Culturing of the cells in the 3D environment re-affirmed findings previously established in 2D cultures of human brain-derived NSCs (Stewart et al., 2015). Specifically, in both 2D and 3D formats for NSCs or iPSCs, conductive polymer-mediated electrical stimulation resulted in increased neural fate induction, as demonstrated by increased expression of Beta-III-Actin + neurons (Stewart et al., 2015; Tomaskovic-Crook et al., 2019; Tomaskovic-Crook et al., 2020). In addition, the resultant neurons displayed longer and more branched neurites. However, the ability to study this phenotype in a 3D environment, and better examine the network of neurite extensions within the 3D micro-environment, is far more informative. Interestingly, Song et al. (2019) compared electrical stimulation of hiPSC-derived NPCs using a 2D and 3D platform. Using NPCs embedded in a 2D PPy hydrogel film or 3D PPy tube structures, the authors demonstrate the relation of dimensionality to EF-induced effects. In both a 2D and 3D setting, stimulated NPCs showed differential expression in neurotrophic factors when compared to controls, including heparin binding EGF like growth factor (HBEGF), heat shock protein family member 1 (HSPB1), glial cell derived neurotrophic factor (GDNF), brain derived neurotrophic factor (BDNF), and neurotrophin 3 (NTF3). However, there were significant differences between the two. For example, GDNF and BDNF were far more upregulated in the 3D platform (Song et al., 2019). These are important factors regulating brain development, differentiation, survival and maturation (Allen et al., 2013; Popova et al., 2017). Accordingly, BDNF and GDNF have been implemented in vitro to guide differentiation of brain organoids, including region-specific forebrain (Birey et al., 2017; Qian et al., 2018), midbrain (Kim et al., 2019), cerebellar (Holmes and Heine, 2017), telencephalic (Mariani et al., 2015, 1), as well as cerebral organoids (Quadrato et al., 2017; Watanabe et al., 2017). Specifically, addition of GDNF and BDNF is shown to enhance the maturation of neuronal networks and improve electrophysiological function in forebrain organoids (Qian et al., 2018).

Apart from improved development and maturation for modelling in vitro, another major utility of PSC-derived stimulated cells is for regenerative medicine. Promisingly, ESC-derived and stimulated NPCs cultured on a PPy scaffold were more able to contribute to neural regeneration following implantation in a stroke-model rat brain, than unstimulated NPCs (George et al., 2017). However, for the purpose of better mimicking in vivo morphology and function, organoids represent a far more advanced in vitro model than neurospheres or NPCs, and thus provide a more robust source of cells or tissue for transplantation.

Bridging the Gap in Bioengineering: Electrical Stimulation of Organoids

In the move towards “next-generation” organoids, techniques such as micro-patterning of morphogen gradients, 3D bioprinting of substrates and microfluidic devices are being used to improve organoid cultures of various tissues, including lung, kidney and intestine (Reviewed in Garreta et al., 2021; Yi et al., 2021). For brain organoid differentiation, Matrigel was early implemented to aid biomechanical development. Commercially available decellularized matrices, such as Matrigel, are the most easily attained biomaterials for cell biology laboratories (McCrary et al., 2020). These matrices contain cell-derived ECM proteins along with biochemical factors that typically have wide-spread effects on the cell cycle, such as FGF and EGF (Vukicevic et al., 1992; Kleinman and Martin, 2005). However, concentrations of growth factors are unknown and undefined proteins may also be present, which may contribute to batch-to-batch heterogeneity in organoid differentiation. Whilst growth-factor reduced variants are now available, a chemically defined synthetic polymer composition offers an alternative approach to reduce this issue. Currently, few biopolymers have been explored to support PSC-derived brain organoids. Culturing brain organoids with a silk-fibroin based biopolymer offered tuneable biomechanical properties to aid 3D cytoarchitecture formation (Tang-Schomer et al., 2014). In another study, a calcium-alginate hydrogel, formed into hollow fibres, was combined with a microfluidic device to form brain organoids from iPSCs (Zhu et al., 2017). Thus, the device provided a physically controlled environment to sustain organoid development, with the ability to exchange oxygen and nutrients using microfluidics (Zhu et al., 2017). An alternative to Matrigel is a chemically defined hyaluronan-based hydrogel which has been proven to support induction of human iPSCs into cerebral organoids, but not in long-term culture (Lindborg et al., 2016). Altering the properties of Matrigel, by tuning with an alginate polymer, has been explored for embedding of brain organoids (Cassel de Camps et al., 2022). Encapsulating brain organoids in alginate-tuned Matrigel, which increases stiffness, skewed cell populations towards a more mature neural fate, although in a trade-off for growth capacity. Here, the authors describe differing morphology of brain organoids in response to differing matrix stiffness (Cassel de Camps et al., 2022). This stresses the importance of the biomechanical microenvironment on the self-organisation program of PSC-derived neural organoids. Successful implementation of biopolymers that provide suitable culturing conditions for 3D PSC-derived brain organoids will require optimisation. To date, brain organoids have not yet been combined with conductive polymers such as PPy or PEDOT. However, the addition of alginate or calcium to hydrogels likely confers increased conductive properties, and electrical stimuli could more readily be applied to these formulations which have already been tested in brain organoid differentiations (Kaklamani et al., 2018; Zhu et al., 2018; Cassel de Camps et al., 2022).

Can We Generate Complex Organoids Using Electrical Bio-Modulation?

Exploiting EF modulation via conductive polymers in brain organoids present several exciting opportunities to generate more advanced in vitro models of the brain and CNS. Markedly, brain-region specific organoid systems don’t offer the opportunity to model multiple regions and interactions between them. To address this, different brain-region organoids have been co-cultured or fused together in “assembloid” approaches (Bagley et al., 2017; Birey et al., 2017; Xiang et al., 2017; Sloan et al., 2018; Xiang et al., 2019; Miura et al., 2022). This can be achieved via several methods, including stepwise assembly of already formed organoids according to neurodevelopmental trajectory, or spontaneous fusion on a shaker. The fused organoids are demonstrated to functionally integrate and have transcriptomes representative of the foetal brain (Xiang et al., 2017; Miura et al., 2022). Application of exogenous EFs during the assembly process could enhance migratory behaviour between regions and promote regional fate determination. This would allow co-culturing at earlier timepoints in development to model early neurodevelopment. However, this is a forced co-culture, rather than spontaneous development from PSC stage. Ideally, to better mimic in vivo CNS development, brain, retina, spinal cord, and olfactory organoids would be generated spontaneously in the same dish together. Currently, the generation of multiple cell types of CNS origin may be achieved with the same media formulations, or within a single structure. For example, cerebral brain organoids contain retinal cells (Lancaster et al., 2013; Quadrato et al., 2017). Moreover, optimisation of culture conditions for cerebral organoids demonstrated development of bilateral optic vesicle structures (Gabriel et al., 2021). These were resemblant of the early embryonic retina in gene expression patterns (Gabriel et al., 2021). Forebrain structures can also spontaneously arise in PSC-derived retinal organoids cultures (Meyer et al., 2011; Ohlemacher et al., 2015) and retinal-brain assembloids have been generated (Fligor et al., 2021). Therefore, suitable biochemical signals exist to substantiate development of both brain and retina, and development of optimised biomechanical and bioelectric signals could enhance more robust multi-organ organoid formation. Additionally, both brain region and whole-brain organoids lack broader structure, particularly the characteristic cortical folding, or gyrification, present in the human brain in vivo. Recently, a biomaterial scaffold was used to induce a flattened morphology in brain organoids (Rothenbücher et al., 2021). The resulting organoids were size and shape controlled due to a larger surface area for oxygenation, and primitive cortical folding. This could be a beneficial prospect for high throughput screening. However, these manipulations may sway development from the innate development trajectory we are trying to recapitulate in the dish.

In vivo, changes in bioelectric signalling of the brain can cause major structural changes (Smith et al., 2018). The mutation of a voltage-gated sodium channel, SCN3A, causes misfolding of the human cortical brain. Mutated SCN3A causes aberrant ionic current flow during early stages of neurodevelopment (Smith et al., 2018). Therefore, the effect of exogenous bioelectricity application alone to alter organoid structure should not be overlooked.

Another major goal in neural organoid engineering is overcoming the lack of blood supply. For brain organoids, efforts have been made to create vascularisation, via co-culture with endothelial cells, genetic manipulation to express endothelial cell transcription factor, human ETS variant 2 (ETV2), and transplantation of brain organoids into animals to permit in vivo vascularisation (Mansour et al., 2018; Pham et al., 2018; Cakir et al., 2019; Shi et al., 2020). PSC-derived organoid models of the blood-brain-barrier have also been established (Bergmann et al., 2018). Bioelectric signals are reported to influence angiogenesis, the formation of blood vessels within existing vasculature. Electric field-induced angiogenesis has been identified in endothelial cells receiving electrical stimulation (Wei et al., 2020). Blood flow increases in response to electrical fields, and blood flow alone causes a change in electric field potential (Petrofsky et al., 2007; Trivedi et al., 2013). Endothelial progenitor cells, which form vasculature tissue, respond to in vitro application of exogenous EFs with directional migration (Zhao et al., 2012). Moreover, signalling via vascular endothelial growth factor (VEGF), the master regulator of angiogenesis, was found to be upregulated by EF modulation (Zhao et al., 2012). The ability of bioelectric signals to guide neo-angiogenesis is also consistent with the established role of bioelectricity in wound healing. It may therefore be a worthwhile approach to test EF-induced effects on blood vessel formation within vascularised organoids.

The work described here highlights the likely complex interplay of bioelectric signals with biomechanical and biochemical development. Importantly, a major stall in the development of more advanced multi-region or organ CNS organoids is the requirement each tissue has for a specific microenvironment, including biochemical, biomechanical, and likely bioelectrical. Thus, an ultimate approach to generating CNS organoids would utilise multiple microenvironments in the dish. For example, providing regionalised condition suitable signalling factors, and uniquely tailored biomaterials for each tissue, with the application of bioelectricity to enhance endogenously-driven mechanisms of proliferation, migration, neurogenesis and maturation.

FUTURE WORKS

Developing Electrical Stimulation Platforms for Organoids

Optimisation of polymers and devices to enable organoid development and electrical stimulation needs to be tailored, taking experimental requirements into consideration. Many electrical stimulation devices and conductive polymers are not readily amenable to 3D culturing conditions. For example, varying polymer stiffness and dopant ratio has direct effects on NPC survival and proliferation (Ma et al., 2016; Garrudo et al., 2019). This may limit their applications in the field of cell biology and developmental biology. Culture surface area tends to be very limited, and rigid structures of scaffolds may interrupt the native biomechanical rules of organogenesis. One of the allures of PSC-derived brain organoid differentiation for cell and developmental biologists is the intrinsic patterning and organisation abilities. It would therefore also be worthwhile to consider the development of novel mechanisms to deliver EFs to 3D organoid cultures in situ, including without the use of advanced biomaterials and conductive polymers.

Establishment of suitable delivery platforms for organoids and 3D culture environments will enhance the utility of this technology and facilitate the use of stimulation devices for cell biology laboratories. Electrical charges can be delivered to cells using either direct stimulation, with conductive metal electrodes submerged in culture medium, or salt bridges, such as agar embedded in a glass capillary. This can be facilitated in any device suitable for cell culture. Both microfluidic devices, and multi-well plate electrical stimulation platforms have been developed, with the latter being more suitable for long-term organoid cultures (Figure 4D). Tomaskovic-Crook et al. (2019) developed a microelectrode array-based culture-stimulation platform, with vertical “pilar” electrodes, allowing for more high-throughput screening and generation of 3D neural tissue (Tomaskovic-Crook et al., 2019). Vertical electrodes have also been employed in a custom designed 96-well platform electrical stimulation plate, capable of providing several stimulation parameters instantaneously, permitting high-throughput screening of stimulated cells (Du et al., 2018). This design could aid the optimisation of suitable stimulation parameters for different tissues or developmental stages. Moreover, a pillar, or column-shaped vertical electrode may permit contact with organoid tissue whilst allowing maximal capacity for culture medium. Such approaches have greater utility in advancing guided differentiation protocols, whereby physical interference with cultures is of less concern. A microelectrode array design, with multiple electrodes in each well capable of generating an electric current, could also be utilised to have more precise control over the EFs generated (Figure 3D). This could probe discrete regions of an organoid, or assembloid, to promote EF-induced effects at particular timepoints according to developmental stage. On the other hand, a simpler electrode circuit design in a standard 6, 12, or 24-well plate format would allow for easier implementation, catering for organoids of varying size and media volume requirements. For example, attachment of electrodes into a plate lid for direct immersion into cell culture media may offer maximal compatibility with in situ suspension culture (Mobini et al., 2016; Mobini et al., 2017). Unguided differentiation protocols may favour a stimulation device with minimal interference to structural composition of the organoid, delivering stimulation directly into the media to best utilise the ions and molecules present. For fabrication of electrodes, platinum offers excellent conductivity and charge injection capacity with minimal corrosive properties (Kim et al., 2007; Xiong et al., 2015; Mobini et al., 2016; Mobini et al., 2017; Leppik et al., 2019). Careful consideration should also be given to the uniformity of EF stimulation in order to generate reproducible data. Whilst cell culture plates are typically circular, many electrode configurations generate a rectangle or square-shaped EF. One study aimed to address this, by 3D printing a polymer into a circular insert to provide a uniform EF (Tsai et al., 2016). In addition, computational modelling of EFs in vitro will be required, specifically to understand electrical current distribution in the 3D organoid environment and with varying media compositions. (Zimmermann et al., 2021). Ultimately, the choice of electrode material and electrochemical characterisation of the set up will be critical to determine a biologically safe stimulation regime, which delivers the required amount of charge without splitting the water or producing toxic faradaic by-products (Boehler et al., 2020; Mobini et al., 2022).

Recently, a novel 6-well plate device was generated using 3D printing to sustain combinatorial mechanical and electrical stimulation (Cortes et al., 2020). This device was optimised to consider tissue culture conditions, with FDA-approved autoclavable materials able to sustain high humidity incubator environments. Vacuum-controlled flexible membranes provided a programmable mechanic stimulation alongside electrical pulses (Cortes et al., 2020). Whilst this was used to demonstrate improved iPSC-derived cardiac differentiation, a device providing multi-modal stimulation could be similarly implemented for culture of CNS tissues to provide suitable biomechanical cues for in vitro organotypic culture. In another interesting example, in vitro electrical stimulation combined with heat-shock treatment, at 42°C, induces ESC differentiation into definitive endoderm (Koga et al., 2017).

Ideally, the prospect of delivering multiple forms of stimuli, such as thermal, mechanical, optical and electrical, suitably optimised for your tissue of interest, would be an ultimate goal in bioengineering “next-generation” CNS organoids.

The Bottleneck: Mapping the Bioelectric Network

Altogether, these studies provide proof-of-concept that devices can be customised for specific applications and tissue culture setups. Regardless, the optimisation of parameters, including signal shape, current, frequency and duration, is a large tissue-specific task which may present a bottleneck. Pre-clinical and clinical studies have indicated parameters capable of generating therapeutic effects in a safe manner (Merrill et al., 2005; Boehler et al., 2020; Krauss et al., 2021; Neudorfer et al., 2021). For example, for deep-brain stimulation, a square shape signal, with biphasic pulses (with an anodal and cathodal phase), seems most suitable (Reviewed in Krauss et al., 2021). Biphasic stimulation is charge-balanced and may also be preferable for in vitro application to NPCs, due to minimising the build-up of oxidation by-products (Iwasa et al., 2019). Secondly, in vivo physiological measurements of EFs in cells and systems of interest should also guide stimulation paradigms. Thirdly, computational modelling and experimental measuring of stimulation experiments should be undertaken. Several analytical or theoretical methods have been developed to aid the calculation of EFs generated by different delivery platforms within a range of culture conditions (Schopf et al., 2016; Abasi et al., 2020; Boehler et al., 2020; Guette-Marquet et al., 2021; Zimmermann et al., 2021). One study aimed to address this by developing a “digital twin” of an electrical stimulation device (Zimmermann et al., 2021). This is a digital representation of the device, (a computational model) which is also able to compute a real set of data, and accordingly respond or adapt the model based on the data (i.e., machine learning). This provides the ability to measure complex electrochemical reactions at the electrode-electrolyte interface. The capability to record or predict the movement of EFs in vitro would be ideal for applications to organoid cultures, where the complexity of electrical current patterns is likely enhanced by the additional dimensionality of 3D cultures. Alternatively, to offer real-time measurements of experimental conditions, another study developed a dual-function electrical stimulation and recording apparatus. This monitors the electrochemical status of the culture conditions using impedance spectroscopy (Abasi et al., 2020).

To understand the relevance of these electrochemical conditions caused by exogenous electrical stimulation, we need a more detailed understanding of endogenous EFs in the human CNS. In vivo, EFs are present at the cellular level, at the level of the whole epithelium or tissue, and even the whole-organism or embryo, mediating development or regeneration (Levin et al., 2017). Mapping of bioelectric networks at each level is therefore a highly complex task. Studies of developmental bioelectricity are working to unveil these networks in small model organisms (Levin, 2014; Levin et al., 2017; Levin, 2019; Levin, 2021). Molecular mechanisms of EF-induced effects have been revealed by studying the proteome and transcriptome, as genomic regulation is powerfully connected to the bioelectric state. Through the expression of ion channels and regulators, bioelectric state can be genetically programmed. Correspondingly, through the downstream activation of transcription factors, bioelectric states may drive gene expression. However, the same bioelectric state of a cell may be achieved using various mechanisms. A multitude of ionic combinations or changes in transporter permeability may confer the same overall net effect on cellular charge and TEP. Therefore, multi-omics alone will not capture the complexity of bioelectric networks, and this data will require integration with both in silico computational modelling, and physiological measurements of EFs.

Once we better understand these studies we can begin to ask: to what extent are we recapitulating these endogenous electrical fields in vitro in our PSC-derived organoids?

Molecular Bioelectricity: the Interplay of Electrical Stimulation and Endogenous Signalling

Endogenous electric fields, variations in TEP and exogenous application of electrical stimulation have been linked to multiple canonical signalling networks and metabolic pathways (Figure 5C). In particular, EFs have been identified to regulate pathways involving phosphatase and kinase activity. Numerous reports have confirmed the ability of EFs to induce activation of Akt, and signal transduction of the PI3K pathway (Arocena et al., 2010; Meng et al., 2011; Wang et al., 2013; Dong et al., 2019; Yang et al., 2019; Wei et al., 2020). Additionally, multiple studies have identified various electrical field parameters to increase production of nitric oxide (NO) both in vivo and in vitro (Petrofsky et al., 2007; Kim et al., 2013; Trivedi et al., 2013; Wei et al., 2020). Specifically, EFs induce activating phosphorylation of eNOS, and levels of phosphorylation are proportional to electric field potential (Wei et al., 2020). PI3K inhibitors prevent EF-induced eNOS and Akt activation (Wei et al., 2020). In neuronal cells, PI3K/Akt signalling mediates EF-induced differentiation, dependent on expression of Achaete-scute homolog 1 (Ascl1) (Dong et al., 2019). In spinal cord injured rats, electrical stimulation was identified to promote neural survival through RhoA signalling and ERK1/2-Bcl-2 pathway (Joo et al., 2018). Phenotypically, increased RhoA signalling and ERK1 signalling results in increased neurite outgrowth and decreased apoptosis in the spinal cord of electrically stimulated rats (Joo et al., 2018). Other studies implicate Wnt signalling as a target for EF modulation, for example by promoting the migration and neurogenesis in EF-modulated rat brains through Wnt/GSK3β (Liu et al., 2013). Genetic manipulation of ion channels also determined EF-induced neuronal maturation in vivo to involve inhibition of canonical Wnt/beta-catenin signalling (Vitali et al., 2018). However, another study found Wnt signalling alone was not sufficient to induce EF-specific effects on neural progenitor proliferation (Sefton et al., 2020).

Other, more transient signalling molecules may also function as downstream bioelectric signals. For example, the upregulation of calcium signalling has also been directly implicated in EF-induced neural fate determination (Yamada et al., 2007; Shin et al., 2017; Enayati et al., 2020). Reactive oxygen species (ROS), such as hydrogen peroxide (H₂O₂) are ubiquitous signalling molecules with defined roles in axial patterning, CNS development, differentiation and regeneration (Reviewed in Coffman and Su, 2019). NADPH oxidase, which catalyses H₂O₂ production, can be activated by exogenous electrical currents (Chatterjee et al., 2012; Li et al., 2013b). During amphibian regeneration, H₂O₂ and V_mem depolarisation overlap spatiotemporally. Studies using NADPH oxidase inhibitors during Xenopus regeneration suggest a two-way regulation mechanism intertwining redox reactions and electrical fields (Ferreira et al., 2016). The authors postulate that a change in membrane potential provides a rapid and dynamic signal for NADPH activation. Spatiotemporal H₂O₂ gradients exist throughout development and may therefore provide a blueprint for bioelectrical activity. Primary embryo-derived NSCs exhibit higher levels of mitochondrial and cytoplasmic ROS than committed NPCs (Khacho et al., 2016). This is mediated by the changing mitochondrial dynamics as NSCs commit to progenitor stage. Thus, increased ROS-mediated signalling functions to supress self-renewal and promote differentiation via Nuclear factor-erythroid factor 2-related factor 2 (Nrf2) signalling (Khacho et al., 2016). Accordingly, endogenous ROS signalling is important for the reprogramming of somatic cells to iPSCs, and ROS levels are stringently controlled during growth of iPSCs and ESCs in vitro, along with NSCs (Lee et al., 2012; Yang et al., 2013; Yeo et al., 2013). As such, any effect of exogenous electrical fields on ROS production in PSC-derived cultures should be monitored, as stage-specific control of ROS production may be desirable. Build-up of by-products in PSC and organoid cultures should also be mitigated with immediate and frequent changing of culture medium after electrical stimulation.

A detailed review of bioelectric-driven molecular mechanisms governing development has recently been produced (George and Bates, 2022), and is beyond the scope of this review. However, the ability of EFs to influence canonical signal transduction and metabolic programming therefore provides a wealth of mechanisms by which electrical stimulation may enhance cell survival, migration, proliferation and differentiation of PSC-derived organoid cultures (Figure 5). Moreover, PSC-derived organoids provide micro-physiological systems that are amenable to EF manipulation in vitro, to aid delineation of molecular mechanisms directing EF-induced phenotypes. Downstream multi-omics analysis, including transcriptomics, proteomics and metabolomics, combined with functional analysis, such as electrophysiology will be key in identifying targets of bioelectricity and correlating this with phenotypic response. Advantageously, some EF-induced signals, such as ROS and Ca²⁺ may be rapidly and dynamically generated in response to electrical stimulation, allowing stage-specific control over PSC differentiation and organoid development.

Translational Relevance: Disease Modelling and Electrotherapy

Disease modelling and development of novel therapeutics are a major utility of CNS organoids. As a standalone therapy, electrical stimulation of the CNS is gaining increasing attention. It is therefore noteworthy to consider the applicability of organoids for disease modelling and therapeutics. Recently, ground-breaking studies demonstrated that tissue of brain and spinal cord tumours, gliomas, are electrically active and integrated into host neural tissue networks (Venkataramani et al., 2019; Venkatesh et al., 2019). This paved the way for electro-therapies to target gliomas with desirable effects on plasticity and neuromodulation, similar to that observed in brain stimulation for psychiatric and neurological disease (Reviewed in Sprugnoli et al., 2021). Previously, studies found primary-derived glioblastoma cells respond to EF modulation with migration, in a manner highly dependent on the surrounding 2D or 3D microenvironment (Huang et al., 2016). Glioblastoma organoids are producible from genetically-engineered cerebral organoids, and provide an ideal platform for exploration of this phenomena (Bian et al., 2018; Ogawa et al., 2018). However, studies utilising organoids to understand bioelectric-related disease phenotypes are very limited. Using iPSCs derived from schizophrenia patients, schizophrenia-cerebral organoids show an impaired response to electrical stimulation and ion channel-mediated depolarisation when compared to healthy controls (Kathuria et al., 2020). Given the use of deep-brain stimulation to treat schizophrenia and other psychiatric disorders, it would be informative to undertake longitudinal studies examining the response of organoid models of psychiatric disease to electrical stimulation in long-term culture. Moreover, longer-term study of electrical activity may provide deeper insights into the complex mechanism of disrupted bioelectric networks in psychiatric disease, particularly subtle disturbances in EFs which may arise earlier in neurodevelopment, without the need for patient involvement. Nguyen et al. (2018) utilised iPSC-derived human 3D neural progenitor cells to study the effects of stimulation on Rett syndrome. As a rare but debilitating neurodevelopmental disorder, in vivo electrical stimulation has not been clinically applied for Rett syndrome patients. However, via culturing on conductive graphene scaffolds, the authors demonstrate electrical stimulation of diseased NPCs reduced disease phenotype (Nguyen et al., 2018). In concordance with previous studies, electrical stimulation promoted neurogenesis and neural maturation in Rett disease models, as in wildtype (Nguyen et al., 2018). As molecular responses to EF-modulation are further unveiled, the correlation of these to disease phenotypes may reveal bio-electric related pathologies and uncover new targets for electro-therapy.

Conclusion and Final Remarks

If we are aiming to truly recapitulate development in the dish, then mapping the bioelectric networks in the body, and in our current organoid cultures in vitro is important. Whilst the lack of knowledge of mammalian bioelectricity networks is currently a limiting factor, it does not diminish the utility of EF modulation to enhance organoid development.

In the clinic, the application of EF to the CNS is beneficial (Balossier et al., 2015; Fu et al., 2015; Tao et al., 2016; Marquez-Chin and Popovic, 2020; Krauss et al., 2021; Sui et al., 2021; Karamian et al., 2022). To date, studies of EF modulation in vitro hold great promise for increasing the development and functionality of CNS derivative cells. However, they have focused on primary brain-derived cells rather PSC-derived organoids. PSC-derived organoids represent state-of-the-art systems for in vitro modelling of CNS organogenesis and disease. EF modulation of PSCs has demonstrated increases in neurogenic differentiation. Next, these findings should be translated into PSC-derived organoid cultures.

Whilst researchers are looking towards implementing advanced technologies to improve organoid differentiations, a simple electrical stimulation culture system could provide an additional, or missing, physiological cue. This could have important implications for increasing the utility of organoids in studies of development and disease, or applications in regenerative medicine and tissue engineering. As a cue for organoid differentiation, electrical stimulation is ready to be implemented in cell biology laboratories. Everything considered, bioelectricity, and the exploration of bioelectric phenomena both in vivo and in vitro is an exciting area to watch. As a greater understanding of bioelectric phenomena in vivo evolves, as will the utility of electrical stimulation as a tool in organoid generation. In parallel, PSC-derived CNS organoids provide the best in vitro model to unravel endogenous EFs in the human CNS. Based on the current body of research, we postulate exogenous application of EFs to brain organoids may increase cell proliferation, survival or differentiation of desired cell subtypes, whilst reducing death and necrosis. The optimisation of suitable stimulation parameters and field strength will be key in utilising EF manipulation for engineered brain tissue. Ideally, precise or stage-dependent application of electrical stimulation, or modulation of EFs by other means, could be implemented at key developmental timepoints to control organoid growth and maturation.

Author Contributions

MO’H-W contributed to the conception, design and manuscript writing. SM contributed to the design and manuscript writing and revision. AG-C contributed to the conception, design, manuscript revision and funding.

Funding

This work is supported by Luminesce Alliance (PPM1 K5116/RD274)—Innovation for Children’s Health for its contribution and support. Luminesce Alliance—Innovation for Children’s Health, is a not for profit cooperative joint venture between the Sydney Children’s Hospitals Network, the Children’s Medical Research Institute, and the Children’s Cancer Institute. It has been established with the support of the NSW Government to coordinate and integrate paediatric research. Luminesce Alliance is also affiliated with the University of Sydney and the University of New South Wales Sydney. Further support was provided by CSIC (ILINK+2020 Ref. LINKA20342) Programme from Spanish National Research Council (CSIC) and by the Australian Government Research Training Program (RTP) Scholarship.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abasi, S., Aggas, J. R., Venkatesh, N., Vallavanatt, I. G., and Guiseppi-Elie, A. (2020). Design, Fabrication and Testing of an Electrical Cell Stimulation and Recording Apparatus (ECSARA) for Cells in Electroculture. Biosens. Bioelectron. 147, 111793. doi:10.1016/j.bios.2019.111793

PubMed Abstract | CrossRef Full Text | Google Scholar

Achberger, K., Probst, C., Haderspeck, J., Bolz, S., Rogal, J., Chuchuy, J., et al. (2019). Merging Organoid and Organ-On-A-Chip Technology to Generate Complex Multi-Layer Tissue Models in a Human Retina-On-A-Chip Platform. eLife 8. doi:10.7554/eLife.46188

PubMed Abstract | CrossRef Full Text | Google Scholar

Al-Sakere, B., André, F., Bernat, C., Connault, E., Opolon, P., Davalos, R. V., et al. (2007). Tumor Ablation with Irreversible Electroporation. PLOS ONE 2, e1135. doi:10.1371/journal.pone.0001135

PubMed Abstract | CrossRef Full Text | Google Scholar

Allen, S. J., Watson, J. J., Shoemark, D. K., Barua, N. U., and Patel, N. K. (2013). GDNF, NGF and BDNF as Therapeutic Options for Neurodegeneration. Pharmacol. Ther. 138, 155–175. doi:10.1016/j.pharmthera.2013.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ao, Z., Cai, H., Wu, Z., Krzesniak, J., Tian, C., Lai, Y. Y., et al. (2022). Human Spinal Organoid-On-A-Chip to Model Nociceptive Circuitry for Pain Therapeutics Discovery. Anal. Chem. 94, 1365–1372. doi:10.1021/acs.analchem.1c04641

PubMed Abstract | CrossRef Full Text | Google Scholar

Ariza, C. A., Fleury, A. T., Tormos, C. J., Petruk, V., Chawla, S., Oh, J., et al. (2010). The Influence of Electric Fields on Hippocampal Neural Progenitor Cells. Stem Cell Rev Rep 6, 585–600. doi:10.1007/s12015-010-9171-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Arocena, M., Zhao, M., Collinson, J. M., and Song, B. (2010). A Time-Lapse and Quantitative Modelling Analysis of Neural Stem Cell Motion in the Absence of Directional Cues and in Electric Fields. J. Neurosci. Res. 88, 3267–3274. doi:10.1002/jnr.22502

PubMed Abstract | CrossRef Full Text | Google Scholar

Baba, T., Kameda, M., Yasuhara, T., Morimoto, T., Kondo, A., Shingo, T., et al. (2009). Electrical Stimulation of the Cerebral Cortex Exerts Antiapoptotic, Angiogenic, and Anti-inflammatory Effects in Ischemic Stroke Rats through Phosphoinositide 3-kinase/Akt Signaling Pathway. Stroke 40, e598–605. doi:10.1161/STROKEAHA.109.563627

PubMed Abstract | CrossRef Full Text | Google Scholar

Babona-Pilipos, R., Droujinine, I. A., Popovic, M. R., and Morshead, C. M. (2011). Adult Subependymal Neural Precursors, but Not Differentiated Cells, Undergo Rapid Cathodal Migration in the Presence of Direct Current Electric Fields. PLoS One 6, e23808. doi:10.1371/journal.pone.0023808

PubMed Abstract | CrossRef Full Text | Google Scholar

Babona-Pilipos, R., Pritchard-Oh, A., Popovic, M. R., and Morshead, C. M. (2015). Biphasic Monopolar Electrical Stimulation Induces Rapid and Directed Galvanotaxis in Adult Subependymal Neural Precursors. Stem Cell Res. Ther. 6, 67. doi:10.1186/s13287-015-0049-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Bagley, J. A., Reumann, D., Bian, S., Lévi-Strauss, J., and Knoblich, J. A. (2017). Fused Cerebral Organoids Model Interactions between Brain Regions. Nat. Methods 14, 743–751. doi:10.1038/nmeth.4304

PubMed Abstract | CrossRef Full Text | Google Scholar

Balossier, A., Orset, C., Etard, O., Gakuba, C., Emery, E., and Vivien, D. (2015). Effects of Epidural Cortical Stimulation on Motor Recovery after a Primary Motor Cortex Ischemic Stroke: Preliminary Results in a Non-human Primate Model. Brain Stimul. 8, 430. doi:10.1016/j.brs.2015.01.371

CrossRef Full Text | Google Scholar

Banerjee, A., Arha, M., Choudhary, S., Ashton, R. S., Bhatia, S. R., Schaffer, D. V., et al. (2009). The Influence of Hydrogel Modulus on the Proliferation and Differentiation of Encapsulated Neural Stem Cells. Biomaterials 30, 4695–4699. doi:10.1016/j.biomaterials.2009.05.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Banin, E., Obolensky, A., Idelson, M., Hemo, I., Reinhardtz, E., Pikarsky, E., et al. (2006). Retinal Incorporation and Differentiation of Neural Precursors Derived from Human Embryonic Stem Cells. STEM CELLS 24, 246–257. doi:10.1634/stemcells.2005-0009

PubMed Abstract | CrossRef Full Text | Google Scholar

Becker, C. G., Becker, T., and Hugnot, J.-P. (2018). The Spinal Ependymal Zone as a Source of Endogenous Repair Cells across Vertebrates. Prog. Neurobiol. 170, 67–80. doi:10.1016/j.pneurobio.2018.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Becker, R. O., and Spadaro, J. A. (1972). Electrical Stimulation of Partial Limb Regeneration in Mammals. Bull. N. Y. Acad. Med. 48, 627–641.

PubMed Abstract | Google Scholar

Becker, R. O. (1961). The Bioelectric Factors in Amphibian-Limb Regeneration. J. Bone & Jt. Surg. 43, 643–656. doi:10.2106/00004623-196143050-00002

CrossRef Full Text | Google Scholar

Bergmann, S., Lawler, S. E., Qu, Y., Fadzen, C. M., Wolfe, J. M., Regan, M. S., et al. (2018). Blood-brain-barrier Organoids for Investigating the Permeability of CNS Therapeutics. Nat. Protoc. 13, 2827–2843. doi:10.1038/s41596-018-0066-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Bertucci, C., Koppes, R., Dumont, C., and Koppes, A. (2019). Neural Responses to Electrical Stimulation in 2D and 3D In Vitro Environments. Brain Res. Bull. 152, 265–284. doi:10.1016/j.brainresbull.2019.07.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Bian, S., Repic, M., Guo, Z., Kavirayani, A., Burkard, T., Bagley, J. A., et al. (2018). Genetically Engineered Cerebral Organoids Model Brain Tumor Formation. Nat. Methods 15, 631–639. doi:10.1038/s41592-018-0070-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Bican, O., Minagar, A., and Pruitt, A. A. (2013). The Spinal Cord. Neurol. Clin. 31, 1–18. doi:10.1016/j.ncl.2012.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Bierman‐Duquette, R. D., Safarians, G., Huang, J., Rajput, B., Chen, J. Y., Wang, Z. Z., et al. (2021). Engineering Tissues of the Central Nervous System: Interfacing Conductive Biomaterials with Neural Stem/Progenitor Cells. Adv. Healthc. Mater. 11, 2101577. doi:10.1002/adhm.202101577

CrossRef Full Text | Google Scholar

Birey, F., Andersen, J., Makinson, C. D., Islam, S., Wei, W., Huber, N., et al. (2017). Assembly of Functionally Integrated Human Forebrain Spheroids. Nature 545, 54–59. doi:10.1038/nature22330

PubMed Abstract | CrossRef Full Text | Google Scholar

Blackiston, D. J., and Levin, M. (2013). Ectopic Eyes outside the Head inXenopustadpoles Provide Sensory Data for Light-Mediated Learning. J. Exp. Biol. 216, 1031–1040. doi:10.1242/jeb.074963

PubMed Abstract | CrossRef Full Text | Google Scholar

Boehler, C., Carli, S., Fadiga, L., Stieglitz, T., and Asplund, M. (2020). Tutorial: Guidelines for Standardized Performance Tests for Electrodes Intended for Neural Interfaces and Bioelectronics. Nat. Protoc. 15, 3557–3578. doi:10.1038/s41596-020-0389-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Bois-Reymond, E. D. (1884). Untersuchungen über thierische Elektricität. Berlin: Germany: G. Reimer.

Google Scholar

Borgens, R. B., Vanable, J. W., and Jaffe, L. F. (1979a). Reduction of Sodium Dependent Stump Currents Disturbs Urodele Limb Regeneration. J. Exp. Zool. 209, 377–386. doi:10.1002/jez.1402090304

PubMed Abstract | CrossRef Full Text | Google Scholar

Borgens, R. B., Vanable, J. W., and Jaffe, L. F. (1979b). Role of Subdermal Current Shunts in the Failure of Frogs to Regenerate. J. Exp. Zool. 209, 49–55. doi:10.1002/jez.1402090106

CrossRef Full Text | Google Scholar

Borgens, R. B., Vanable, J. W., and Jaffe, L. F. (1977). Bioelectricity and Regeneration. I. Initiation of Frog Limb Regeneration by Minute Currents. J. Exp. Zool. 200, 403–416. doi:10.1002/jez.1402000310

PubMed Abstract | CrossRef Full Text | Google Scholar

Brüstle, O., Jones, K. N., Learish, R. D., Karram, K., Choudhary, K., Wiestler, O. D., et al. (1999). Embryonic Stem Cell-Derived Glial Precursors: a Source of Myelinating Transplants. Science 285, 754–756. doi:10.1126/science.285.5428.754

PubMed Abstract | CrossRef Full Text | Google Scholar

Cakir, B., Xiang, Y., Tanaka, Y., Kural, M. H., Parent, M., Kang, Y.-J., et al. (2019). Engineering of Human Brain Organoids with a Functional Vascular-like System. Nat. Methods 16, 1169–1175. doi:10.1038/s41592-019-0586-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, L., Wei, D., Reid, B., Zhao, S., Pu, J., Pan, T., et al. (2013). Endogenous Electric Currents Might Guide Rostral Migration of Neuroblasts. EMBO Rep. 14, 184–190. doi:10.1038/embor.2012.215

PubMed Abstract | CrossRef Full Text | Google Scholar

Cassel de Camps, C., Aslani, S., Stylianesis, N., Nami, H., Mohamed, N.-V., Durcan, T. M., et al. (2022). Hydrogel Mechanics Influence the Growth and Development of Embedded Brain Organoids. ACS Appl. Bio Mat. 5, 214–224. doi:10.1021/acsabm.1c01047

CrossRef Full Text | Google Scholar

Cederquist, G. Y., Asciolla, J. J., Tchieu, J., Walsh, R. M., Cornacchia, D., Resh, M. D., et al. (2019). Specification of Positional Identity in Forebrain Organoids. Nat. Biotechnol. 37, 436–444. doi:10.1038/s41587-019-0085-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Chandrasekaran, A., Avci, H. X., Ochalek, A., Rösingh, L. N., Molnár, K., László, L., et al. (2017). Comparison of 2D and 3D Neural Induction Methods for the Generation of Neural Progenitor Cells from Human Induced Pluripotent Stem Cells. Stem Cell Res. 25, 139–151. doi:10.1016/j.scr.2017.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, H.-F., Lee, Y.-S., Tang, T. K., and Cheng, J.-Y. (2016). Pulsed DC Electric Field-Induced Differentiation of Cortical Neural Precursor Cells. PLOS ONE 11, e0158133. doi:10.1371/journal.pone.0158133

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, K.-A., Kim, J. W., Kim, J. a., Lee, S., Kim, S., Suh, W. H., et al. (2011). Biphasic Electrical Currents Stimulation Promotes Both Proliferation and Differentiation of Fetal Neural Stem Cells. PLOS ONE 6, e18738. doi:10.1371/journal.pone.0018738

PubMed Abstract | CrossRef Full Text | Google Scholar

Chatterjee, S., Browning, E. A., Hong, N., DeBolt, K., Sorokina, E. M., Liu, W., et al. (2012). Membrane Depolarization Is the Trigger for PI3K/Akt Activation and Leads to the Generation of ROS. Am. J. Physiology-Heart Circulatory Physiology 302, H105–H114. doi:10.1152/ajpheart.00298.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X., Yin, S., Hu, C., Chen, X., Jiang, K., Ye, S., et al. (2014). Comparative Study of Nanosecond Electric Fields In Vitro and In Vivo on Hepatocellular Carcinoma Indicate Macrophage Infiltration Contribute to Tumor Ablation In Vivo. PLoS One 9, e86421. doi:10.1371/journal.pone.0086421

PubMed Abstract | CrossRef Full Text | Google Scholar

Chhibber, T., Bagchi, S., Lahooti, B., Verma, A., Al-Ahmad, A., Paul, M. K., et al. (2020). CNS Organoids: an Innovative Tool for Neurological Disease Modeling and Drug Neurotoxicity Screening. Drug Discov. Today 25, 456–465. doi:10.1016/j.drudis.2019.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiaradia, I., and Lancaster, M. A. (2020). Brain Organoids for the Study of Human Neurobiology at the Interface of In Vitro and In Vivo. Nat. Neurosci. 23, 1496–1508. doi:10.1038/s41593-020-00730-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Coffman, J. A., and Su, Y.-H. (2019). Redox Regulation of Development and Regeneration. Curr. Opin. Genet. Dev. 57, 9–15. doi:10.1016/j.gde.2019.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Cortes, D., McTiernan, C. D., Ruel, M., Franco, W., Chu, C., Liang, W., et al. (2020). BEaTS-α an Open Access 3D Printed Device for In Vitro Electromechanical Stimulation of Human Induced Pluripotent Stem Cells. Sci. Rep. 10, 11274. doi:10.1038/s41598-020-67169-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Cowan, C. S., Renner, M., De Gennaro, M., Gross-Scherf, B., Goldblum, D., Hou, Y., et al. (2020). Cell Types of the Human Retina and its Organoids at Single-Cell Resolution. Cell 182, 1623–1640. e34. doi:10.1016/j.cell.2020.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Cukierman, E., Pankov, R., Stevens, D. R., and Yamada, K. M. (2001). Taking Cell-Matrix Adhesions to the Third Dimension. Science 294, 1708–1712. doi:10.1126/science.1064829

PubMed Abstract | CrossRef Full Text | Google Scholar

Curtis, M. A., Kam, M., Nannmark, U., Anderson, M. F., Axell, M. Z., Wikkelso, C., et al. (2007). Human Neuroblasts Migrate to the Olfactory Bulb via a Lateral Ventricular Extension. Science 315, 1243–1249. doi:10.1126/science.1136281

PubMed Abstract | CrossRef Full Text | Google Scholar

Desmoulin-Canselier, S., and Moutaud, B. (2019). Animal Models and Animal Experimentation in the Development of Deep Brain Stimulation: From a Specific Controversy to a Multidimensional Debate. Front. Neuroanat. 13. doi:10.3389/fnana.2019.00051

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, Z.-Y., Pei, Z., Wang, Y.-L., Li, Z., Khan, A., and Meng, X.-T. (2019). Ascl1 Regulates Electric Field-Induced Neuronal Differentiation through PI3K/Akt Pathway. Neuroscience 404, 141–152. doi:10.1016/j.neuroscience.2019.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, J., Zhen, G., Chen, H., Zhang, S., Qing, L., Yang, X., et al. (2018). Optimal Electrical Stimulation Boosts Stem Cell Therapy in Nerve Regeneration. Biomaterials 181, 347–359. doi:10.1016/j.biomaterials.2018.07.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Dubé, J., Rochette-Drouin, O., Lévesque, P., Gauvin, R., Roberge, C. J., Auger, F. A., et al. (2010). Restoration of the Transepithelial Potential within Tissue-Engineered Human SkinIn Vitroand during the Wound Healing ProcessIn Vivo. Tissue Eng. Part APart A 16, 3055–3063. doi:10.1089/ten.TEA.2010.0030

CrossRef Full Text | Google Scholar

Duval, N., Vaslin, C., Barata, T., Frarma, Y., Contremoulins, V., Baudin, X., et al. (2019). BMP4 Patterns Smad Activity and Generates Stereotyped Cell Fate Organisation in Spinal Organoids. Development 146, dev175430. doi:10.1242/dev.175430

PubMed Abstract | CrossRef Full Text | Google Scholar

Eiraku, M., Adachi, T., and Sasai, Y. (2012). Relaxation‐expansion Model for Self‐driven Retinal Morphogenesis. Bioessays 34, 17–25. doi:10.1002/bies.201100070

PubMed Abstract | CrossRef Full Text | Google Scholar

Eiraku, M., Takata, N., Ishibashi, H., Kawada, M., Sakakura, E., Okuda, S., et al. (2011). Self-organizing Optic-Cup Morphogenesis in Three-Dimensional Culture. Nature 472, 51–56. doi:10.1038/nature09941

PubMed Abstract | CrossRef Full Text | Google Scholar

Eiraku, M., Watanabe, K., Matsuo-Takasaki, M., Kawada, M., Yonemura, S., Matsumura, M., et al. (2008). Self-organized Formation of Polarized Cortical Tissues from ESCs and its Active Manipulation by Extrinsic Signals. Cell Stem Cell 3, 519–532. doi:10.1016/j.stem.2008.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Enayati, S., Chang, K., Achour, H., Cho, K.-S., Xu, F., Guo, S., et al. (2020). Electrical Stimulation Induces Retinal Müller Cell Proliferation and Their Progenitor Cell Potential. Cells 9, 781. doi:10.3390/cells9030781

PubMed Abstract | CrossRef Full Text | Google Scholar

Eura, N., Matsui, T. K., Luginbühl, J., Matsubayashi, M., Nanaura, H., Shiota, T., et al. (2020). Brainstem Organoids from Human Pluripotent Stem Cells. Front. Neurosci. 14. doi:10.3389/fnins.2020.00538

PubMed Abstract | CrossRef Full Text | Google Scholar

Evans, M. J., and Kaufman, M. H. (1981). Establishment in Culture of Pluripotential Cells from Mouse Embryos. Nature 292, 154–156. doi:10.1038/292154a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Fathi, A., Hatami, M., Hajihosseini, V., Fattahi, F., Kiani, S., Baharvand, H., et al. (2011). Comprehensive Gene Expression Analysis of Human Embryonic Stem Cells during Differentiation into Neural Cells. PLoS One. 6, e22856. doi:10.1371/journal.pone.0022856

PubMed Abstract | CrossRef Full Text | Google Scholar

Fedorov, A., Chibisova, Y., Szymaszek, A., Alexandrov, M., Gall, C., and Sabel, B. A. (2010). Non-invasive Alternating Current Stimulation Induces Recovery from Stroke. Restor. Neurol. Neurosci. 28, 825–833. doi:10.3233/RNN-2010-0580

PubMed Abstract | CrossRef Full Text | Google Scholar

Feigin, V. L., Nichols, E., Alam, T., Bannick, M. S., Beghi, E., Blake, N., et al. (2019). Global, Regional, and National Burden of Neurological Disorders, 1990-2016: a Systematic Analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 18, 459–480. doi:10.1016/S1474-4422(18)30499-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, J.-F., Liu, J., Zhang, L., Jiang, J.-Y., Russell, M., Lyeth, B. G., et al. (2017). Electrical Guidance of Human Stem Cells in the Rat Brain. Stem Cell Rep. 9, 177–189. doi:10.1016/j.stemcr.2017.05.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferreira, F., Luxardi, G., Reid, B., and Zhao, M. (2016). Early Bioelectric Activities Mediate Redox-Modulated Regeneration. Development 143, 4582–4594. doi:10.1242/dev.142034

PubMed Abstract | CrossRef Full Text | Google Scholar

Fields, R., Neale, E., and Nelson, P. (1990). Effects of Patterned Electrical Activity on Neurite Outgrowth from Mouse Sensory Neurons. J. Neurosci. 10, 2950–2964. doi:10.1523/JNEUROSCI.10-09-02950.1990

PubMed Abstract | CrossRef Full Text | Google Scholar

Fligor, C. M., Lavekar, S. S., Harkin, J., Shields, P. K., VanderWall, K. B., Huang, K.-C., et al. (2021). Extension of Retinofugal Projections in an Assembled Model of Human Pluripotent Stem Cell-Derived Organoids. Stem Cell Rep. 16, 2228–2241. doi:10.1016/j.stemcr.2021.05.009

CrossRef Full Text | Google Scholar

Fu, L., Lo, A. C. Y., Lai, J. S. M., and Shih, K. C. (2015). The Role of Electrical Stimulation Therapy in Ophthalmic Diseases. Graefes Arch. Clin. Exp. Ophthalmol. 253, 171–176. doi:10.1007/s00417-014-2889-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Gabriel, E., Albanna, W., Pasquini, G., Ramani, A., Josipovic, N., Mariappan, A., et al. (2021). Human Brain Organoids Assemble Functionally Integrated Bilateral Optic Vesicles. Cell Stem Cell 28, 1740–1757. e8. doi:10.1016/j.stem.2021.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Gagliardi, G., Ben M'Barek, K., Chaffiol, A., Slembrouck-Brec, A., Conart, J.-B., Nanteau, C., et al. (2018). Characterization and Transplantation of CD73-Positive Photoreceptors Isolated from Human iPSC-Derived Retinal Organoids. Stem Cell Rep. 11, 665–680. doi:10.1016/j.stemcr.2018.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Galvani, L. (1791). De Viribus Electricitatis in Motu Musculari. Commentarius. De Bonoiensi Sci. Artium Intituo atque Acad. Comment. 7, 363–418.

Google Scholar

Garreta, E., Kamm, R. D., Chuva de Sousa Lopes, S. M., Lancaster, M. A., Weiss, R., Trepat, X., et al. (2021). Rethinking Organoid Technology through Bioengineering. Nat. Mat. 20, 145–155. doi:10.1038/s41563-020-00804-4

CrossRef Full Text | Google Scholar

Garrudo, F. F. F., Chapman, C. A., Hoffman, P. R., Udangawa, R. W., Silva, J. C., Mikael, P. E., et al. (2019). Polyaniline-polycaprolactone Blended Nanofibers for Neural Cell Culture. Eur. Polym. J. 117, 28–37. doi:10.1016/j.eurpolymj.2019.04.048

CrossRef Full Text | Google Scholar

George, L. F., and Bates, E. A. (2022). Mechanisms Underlying Influence of Bioelectricity in Development. Front. Cell Dev. Biol. 10. doi:10.3389/fcell.2022.772230

CrossRef Full Text | Google Scholar

George, P. M., Bliss, T. M., Hua, T., Lee, A., Oh, B., Levinson, A., et al. (2017). Electrical Preconditioning of Stem Cells with a Conductive Polymer Scaffold Enhances Stroke Recovery. Biomaterials 142, 31–40. doi:10.1016/j.biomaterials.2017.07.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Georges, P. C., Miller, W. J., Meaney, D. F., Sawyer, E. S., and Janmey, P. A. (2006). Matrices with Compliance Comparable to that of Brain Tissue Select Neuronal over Glial Growth in Mixed Cortical Cultures. Biophysical J. 90, 3012–3018. doi:10.1529/biophysj.105.073114

PubMed Abstract | CrossRef Full Text | Google Scholar

Gibson, H. W. (1938). Notes on the Comparative Anatomy of the Eye. Australas. J. Optometry 21, 265–268. doi:10.1111/j.1444-0938.1938.tb01269.x

CrossRef Full Text | Google Scholar

Glinka, A., Wu, W., Onichtchouk, D., Blumenstock, C., and Niehrs, C. (1997). Head Induction by Simultaneous Repression of Bmp and Wnt Signalling in Xenopus. Nature 389, 517–519. doi:10.1038/39092

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonzalez-Cordero, A., Kruczek, K., Naeem, A., Fernando, M., Kloc, M., Ribeiro, J., et al. (2017). Recapitulation of Human Retinal Development from Human Pluripotent Stem Cells Generates Transplantable Populations of Cone Photoreceptors. Stem Cell Rep. 9, 820–837. doi:10.1016/j.stemcr.2017.07.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Gordon, T. (2016). Electrical Stimulation to Enhance Axon Regeneration after Peripheral Nerve Injuries in Animal Models and Humans. Neurotherapeutics 13, 295–310. doi:10.1007/s13311-015-0415-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Grussu, F., Schneider, T., Tur, C., Yates, R. L., Tachrount, M., Ianuş, A., et al. (2017). Neurite Dispersion: a New Marker of Multiple Sclerosis Spinal Cord Pathology? Ann. Clin. Transl. Neurol. 4, 663–679. doi:10.1002/acn3.445

PubMed Abstract | CrossRef Full Text | Google Scholar

Guette-Marquet, S., Roques, C., and Bergel, A. (2021). Theoretical Analysis of the Electrochemical Systems Used for the Application of Direct Current/voltage Stimuli on Cell Cultures. Bioelectrochemistry 139, 107737. doi:10.1016/j.bioelechem.2020.107737

PubMed Abstract | CrossRef Full Text | Google Scholar

Hellenbrand, D. J., Quinn, C. M., Piper, Z. J., Morehouse, C. N., Fixel, J. A., and Hanna, A. S. (2021). Inflammation after Spinal Cord Injury: a Review of the Critical Timeline of Signaling Cues and Cellular Infiltration. J. Neuroinflammation 18, 284. doi:10.1186/s12974-021-02337-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Hlavac, N., Bousalis, D., Ahmad, R. N., Pallack, E., Vela, A., Li, Y., et al. (2021). Effects of Varied Stimulation Parameters on Adipose-Derived Stem Cell Response to Low-Level Electrical Fields. Ann. Biomed. Eng. 49, 3401–3411. doi:10.1007/s10439-021-02875-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Hofmann, F., Ohnimus, H., Scheller, C., Strupp, W., Zimmermann, U., and Jassoy, C. (1999). Electric Field Pulses Can Induce Apoptosis. J. Membr. Biol. 169, 103–109. doi:10.1007/s002329900522

PubMed Abstract | CrossRef Full Text | Google Scholar

Holmes, D. B., and Heine, V. M. (2017). Streamlined 3D Cerebellar Differentiation Protocol with Optional 2D Modification. JoVE. doi:10.3791/56888

CrossRef Full Text | Google Scholar

Hor, J. H., Soh, E. S.-Y., Tan, L. Y., Lim, V. J. W., Santosa, M. M., Winanto, null., et al. (2018). Cell Cycle Inhibitors Protect Motor Neurons in an Organoid Model of Spinal Muscular Atrophy. Cell Death Dis. 9, 1100. doi:10.1038/s41419-018-1081-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Horner, P. J., Power, A. E., Kempermann, G., Kuhn, H. G., Palmer, T. D., Winkler, J., et al. (2000). Proliferation and Differentiation of Progenitor Cells throughout the Intact Adult Rat Spinal Cord. J. Neurosci. 20, 2218–2228. doi:10.1523/JNEUROSCI.20-06-02218.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

Hotary, K. B., and Robinson, K. R. (1990). Endogenous Electrical Currents and the Resultant Voltage Gradients in the Chick Embryo. Dev. Biol. 140, 149–160. doi:10.1016/0012-1606(90)90062-n

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Y.-J., Hoffmann, G., Wheeler, B., Schiapparelli, P., Quinones-Hinojosa, A., and Searson, P. (2016). Cellular Microenvironment Modulates the Galvanotaxis of Brain Tumor Initiating Cells. Sci. Rep. 6, 21583. doi:10.1038/srep21583

PubMed Abstract | CrossRef Full Text | Google Scholar

Illingworth, C. M., and Barker, A. T. (1980). Measurement of Electrical Currents Emerging during the Regeneration of Amputated Finger Tips in Children. Clin. Phys. Physiol. Meas. 1, 87–89. doi:10.1088/0143-0815/1/1/007

CrossRef Full Text | Google Scholar

Iwasa, S. N., Rashidi, A., Sefton, E., Liu, N. X., Popovic, M. R., and Morshead, C. M. (2019). Charge-Balanced Electrical Stimulation Can Modulate Neural Precursor Cell Migration in the Presence of Endogenous Electric Fields in Mouse Brains. eNeuro 6. doi:10.1523/ENEURO.0382-19.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

Jia, N., Yang, J., Liu, J., and Zhang, J. (2021). Electric Field: A Key Signal in Wound Healing. Chin. J. Plastic Reconstr. Surg. 3, 95–102. doi:10.1016/S2096-6911(21)00090-X

CrossRef Full Text | Google Scholar

Johansson, C. B., Momma, S., Clarke, D. L., Risling, M., Lendahl, U., and Frisén, J. (1999). Identification of a Neural Stem Cell in the Adult Mammalian Central Nervous System. Cell 96, 25–34. doi:10.1016/S0092-8674(00)80956-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Jovanovic, V. M., Salti, A., Tilleman, H., Zega, K., Jukic, M. M., Zou, H., et al. (2018). BMP/SMAD Pathway Promotes Neurogenesis of Midbrain Dopaminergic Neurons In Vivo and in Human Induced Pluripotent and Neural Stem Cells. J. Neurosci. 38, 1662–1676. doi:10.1523/JNEUROSCI.1540-17.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

Kadoshima, T., Sakaguchi, H., Nakano, T., Soen, M., Ando, S., Eiraku, M., et al. (2013). Self-Organization of Axial Polarity, Inside-Out Layer Pattern, and Species-Specific Progenitor Dynamics in Human ES Cell-Derived Neocortex. Proc. Natl. Acad. Sci. U S A. 110, 20284–20289. doi:10.1073/pnas.1315710110

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaklamani, G., Kazaryan, D., Bowen, J., Iacovella, F., Anastasiadis, S. H., and Deligeorgis, G. (2018). On the Electrical Conductivity of Alginate Hydrogels. Regen. Biomater. 5, 293–301. doi:10.1093/rb/rby019

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamagata, K., Zalesky, A., Hatano, T., Ueda, R., Di Biase, M. A., Okuzumi, A., et al. (2017). Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging. Hum. Brain Mapp. 38, 3704–3722. doi:10.1002/hbm.23628

PubMed Abstract | CrossRef Full Text | Google Scholar

Karamian, B. A., Siegel, N., Nourie, B., Serruya, M. D., Heary, R. F., Harrop, J. S., et al. (2022). The Role of Electrical Stimulation for Rehabilitation and Regeneration after Spinal Cord Injury. J. Orthop. Traumatol. 23, 2. doi:10.1186/s10195-021-00623-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Kathuria, A., Lopez-Lengowski, K., Jagtap, S. S., McPhie, D., Perlis, R. H., Cohen, B. M., et al. (2020). Transcriptomic Landscape and Functional Characterization of Induced Pluripotent Stem Cell-Derived Cerebral Organoids in Schizophrenia. JAMA Psychiatry 77, 745–754. doi:10.1001/jamapsychiatry.2020.0196

PubMed Abstract | CrossRef Full Text | Google Scholar

Khacho, M., Clark, A., Svoboda, D. S., Azzi, J., MacLaurin, J. G., Meghaizel, C., et al. (2016). Mitochondrial Dynamics Impacts Stem Cell Identity and Fate Decisions by Regulating a Nuclear Transcriptional Program. Cell Stem Cell 19, 232–247. doi:10.1016/j.stem.2016.04.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, H. B., Ahn, S., Jang, H. J., Sim, S. B., and Kim, K. W. (2007). Evaluation of Corrosion Behaviors and Surface Profiles of Platinum-Coated Electrodes by Electrochemistry and Complementary Microscopy: Biomedical Implications for Anticancer Therapy. Micron 38, 747–753. doi:10.1016/j.micron.2007.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, H., Park, H. J., Choi, H., Chang, Y., Park, H., Shin, J., et al. (2019). Modeling G2019S-LRRK2 Sporadic Parkinson's Disease in 3D Midbrain Organoids. Stem Cell Rep. 12, 518–531. doi:10.1016/j.stemcr.2019.01.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, J. H., Choi, H., Suh, M. J., Shin, J. H., Hwang, M. H., and Lee, H.-M. (2013). Effect of Biphasic Electrical Current Stimulation on IL-1β-Stimulated Annulus Fibrosus Cells Using In Vitro Microcurrent Generating Chamber System. Spine 38, E1368–E1376. doi:10.1097/BRS.0b013e3182a211e3

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleinman, H. K., and Martin, G. R. (2005). Matrigel: Basement Membrane Matrix with Biological Activity. Seminars Cancer Biol. 15, 378–386. doi:10.1016/j.semcancer.2005.05.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Koga, T., Shiraki, N., Yano, S., Suico, M. A., Morino-Koga, S., Sato, T., et al. (2017). Mild Electrical Stimulation with Heat Shock Guides Differentiation of Embryonic Stem Cells into Pdx1-Expressing Cells within the Definitive Endoderm. BMC Biotechnol. 17, 14. doi:10.1186/s12896-017-0331-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Krauss, J. K., Lipsman, N., Aziz, T., Boutet, A., Brown, P., Chang, J. W., et al. (2021). Technology of Deep Brain Stimulation: Current Status and Future Directions. Nat. Rev. Neurol. 17, 75–87. doi:10.1038/s41582-020-00426-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Kubis, N. (2016). Non-Invasive Brain Stimulation to Enhance Post-Stroke Recovery. Front. Neural Circuits 10, 56. doi:10.3389/fncir.2016.00056

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuwahara, A., Ozone, C., Nakano, T., Saito, K., Eiraku, M., and Sasai, Y. (2015). Generation of a Ciliary Margin-like Stem Cell Niche from Self-Organizing Human Retinal Tissue. Nat. Commun. 6, 6286. doi:10.1038/ncomms7286

PubMed Abstract | CrossRef Full Text | Google Scholar

Kwon, J., Lee, J. S., Lee, J., Na, J., Sung, J., Lee, H.-J., et al. (2021). Vertical Nanowire Electrode Array for Enhanced Neurogenesis of Human Neural Stem Cells via Intracellular Electrical Stimulation. Nano Lett. 21, 6343–6351. doi:10.1021/acs.nanolett.0c04635

PubMed Abstract | CrossRef Full Text | Google Scholar

Lamba, D. A., Karl, M. O., Ware, C. B., and Reh, T. A. (2006). Efficient Generation of Retinal Progenitor Cells from Human Embryonic Stem Cells. Proc. Natl. Acad. Sci. U.S.A. 103, 12769–12774. doi:10.1073/pnas.0601990103

PubMed Abstract | CrossRef Full Text | Google Scholar

Lancaster, M. A. (2019). An Electric Take on Neural Fate and Cortical Development. Dev. Cell 48, 1–2. doi:10.1016/j.devcel.2018.12.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Lancaster, M. A., and Knoblich, J. A. (2014). Generation of Cerebral Organoids from Human Pluripotent Stem Cells. Nat. Protoc. 9, 2329–2340. doi:10.1038/nprot.2014.158

PubMed Abstract | CrossRef Full Text | Google Scholar

Lancaster, M. A., Renner, M., Martin, C.-A., Wenzel, D., Bicknell, L. S., Hurles, M. E., et al. (2013). Cerebral Organoids Model Human Brain Development and Microcephaly. Nature 501, 373–379. doi:10.1038/nature12517

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, J., Sayed, N., Hunter, A., Au, K. F., Wong, W. H., Mocarski, E. S., et al. (2012). Activation of Innate Immunity Is Required for Efficient Nuclear Reprogramming. Cell 151, 547–558. doi:10.1016/j.cell.2012.09.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, M., Joo, M., Jang, C., Park, J., Choi, S., Ro, S., et al. (2018). Effect of Electrical Stimulation on Neural Regeneration via the P38-RhoA and ERK1/2-Bcl-2 Pathways in Spinal Cord-Injured Rats. Neural Regen. Res. 13, 340–346. doi:10.4103/1673-5374.226404

PubMed Abstract | CrossRef Full Text | Google Scholar

Leppik, L., Bhavsar, M. B., Oliveira, K. M. C., Eischen-Loges, M., Mobini, S., and Barker, J. H. (2019). Construction and Use of an Electrical Stimulation Chamber for Enhancing Osteogenic Differentiation in Mesenchymal Stem/Stromal Cells In Vitro. JoVE, e59127. doi:10.3791/59127

PubMed Abstract | CrossRef Full Text | Google Scholar

Leppik, L., Zhihua, H., Mobini, S., Thottakkattumana Parameswaran, V., Eischen-Loges, M., Slavici, A., et al. (2018). Combining Electrical Stimulation and Tissue Engineering to Treat Large Bone Defects in a Rat Model. Sci. Rep. 8, 6307. doi:10.1038/s41598-018-24892-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Levin, M. (2021). Bioelectric Signaling: Reprogrammable Circuits Underlying Embryogenesis, Regeneration, and Cancer. Cell 184, 1971–1989. doi:10.1016/j.cell.2021.02.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Levin, M. (2014). Endogenous Bioelectrical Networks Store Non-genetic Patterning Information during Development and Regeneration. J. Physiol. 592, 2295–2305. doi:10.1113/jphysiol.2014.271940

PubMed Abstract | CrossRef Full Text | Google Scholar

Levin, M. (2012). Molecular Bioelectricity in Developmental Biology: New Tools and Recent Discoveries. Bioessays 34, 205–217. doi:10.1002/bies.201100136

PubMed Abstract | CrossRef Full Text | Google Scholar

Levin, M., Pezzulo, G., and Finkelstein, J. M. (2017). Endogenous Bioelectric Signaling Networks: Exploiting Voltage Gradients for Control of Growth and Form. Annu. Rev. Biomed. Eng. 19, 353–387. doi:10.1146/annurev-bioeng-071114-040647

PubMed Abstract | CrossRef Full Text | Google Scholar

Levin, M. (2019). The Computational Boundary of a “Self”: Developmental Bioelectricity Drives Multicellularity and Scale-free Cognition. Front. Psychol. 10. Available at: https://www.frontiersin.org/article/10.3389/fpsyg.2019.02688 (Accessed March 16, 2022).

PubMed Abstract | CrossRef Full Text | Google Scholar

Levin, M., Thorlin, T., Robinson, K. R., Nogi, T., and Mercola, M. (2002). Asymmetries in H+/K+-ATPase and Cell Membrane Potentials Comprise a Very Early Step in Left-Right Patterning. Cell 111, 77–89. doi:10.1016/s0092-8674(02)00939-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, F., Chen, T., Hu, S., Lin, J., Hu, R., and Feng, H. (2013b). Superoxide Mediates Direct Current Electric Field-Induced Directional Migration of Glioma Cells through the Activation of AKT and ERK. PLOS ONE 8, e61195. doi:10.1371/journal.pone.0061195

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, L., El-Hayek, Y. H., Liu, B., Chen, Y., Gomez, E., Wu, X., et al. (2008). Direct-Current Electrical Field Guides Neuronal Stem/Progenitor Cell Migration. Stem Cells 26, 2193–2200. doi:10.1634/stemcells.2007-1022

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, N., Zhang, Q., Gao, S., Song, Q., Huang, R., Wang, L., et al. (2013a). Three-dimensional Graphene Foam as a Biocompatible and Conductive Scaffold for Neural Stem Cells. Sci. Rep. 3, 1604. doi:10.1038/srep01604

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindborg, B. A., Brekke, J. H., Vegoe, A. L., Ulrich, C. B., Haider, K. T., Subramaniam, S., et al. (2016). Rapid Induction of Cerebral Organoids from Human Induced Pluripotent Stem Cells Using a Chemically Defined Hydrogel and Defined Cell Culture Medium. Stem Cells Transl. Med. 5, 970–979. doi:10.5966/sctm.2015-0305

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, H. H., Xiang, Y., Yan, T. B., Tan, Z. M., Li, S. H., and He, X. K. (2013). Functional Electrical Stimulation Increases Neural Stem/progenitor Cell Proliferation and Neurogenesis in the Subventricular Zone of Rats with Stroke. Chin. Med. J. Engl. 126, 2361–2367.

PubMed Abstract | Google Scholar

Lois, C., and Alvarez-Buylla, A. (1994). Long-distance Neuronal Migration in the Adult Mammalian Brain. Science 264, 1145–1148. doi:10.1126/science.8178174

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, X., Weaver, C. L., Tan, S., and Cui, X. T. (2013). Pure Graphene Oxide Doped Conducting Polymer Nanocomposite for Bio-Interfacing. J. Mat. Chem. B 1, 1340–1348. doi:10.1039/C3TB00006K

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Q., Yang, L., Jiang, Z., Song, Q., Xiao, M., Zhang, D., et al. (2016). Three-Dimensional Stiff Graphene Scaffold on Neural Stem Cells Behavior. ACS Appl. Mat. Interfaces 8, 34227–34233. doi:10.1021/acsami.6b12305

PubMed Abstract | CrossRef Full Text | Google Scholar

Mansour, A. A., Gonçalves, J. T., Bloyd, C. W., Li, H., Fernandes, S., Quang, D., et al. (2018). An In Vivo Model of Functional and Vascularized Human Brain Organoids. Nat. Biotechnol. 36, 432–441. doi:10.1038/nbt.4127

PubMed Abstract | CrossRef Full Text | Google Scholar

Mariani, J., Coppola, G., Zhang, P., Abyzov, A., Provini, L., Tomasini, L., et al. (2015). FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders. Cell 162, 375–390. doi:10.1016/j.cell.2015.06.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Marquez-Chin, C., and Popovic, M. R. (2020). Functional Electrical Stimulation Therapy for Restoration of Motor Function after Spinal Cord Injury and Stroke: a Review. Biomed. Eng. OnLine 19, 34. doi:10.1186/s12938-020-00773-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, G. R. (1981). Isolation of a Pluripotent Cell Line from Early Mouse Embryos Cultured in Medium Conditioned by Teratocarcinoma Stem Cells. Proc. Natl. Acad. Sci. U.S.A. 78, 7634–7638. doi:10.1073/pnas.78.12.7634

PubMed Abstract | CrossRef Full Text | Google Scholar

Matsuki, N., Takeda, M., Ishikawa, T., Kinjo, A., Hayasaka, T., Imai, Y., et al. (2010). Activation of Caspases and Apoptosis in Response to Low-Voltage Electric Pulses. Oncol. Rep. 23, 1425–1433. doi:10.3892/or_00000780

PubMed Abstract | CrossRef Full Text | Google Scholar

Mauri, E., Sacchetti, A., Vicario, N., Peruzzotti-Jametti, L., Rossi, F., and Pluchino, S. (2018). Evaluation of RGD Functionalization in Hybrid Hydrogels as 3D Neural Stem Cell Culture Systems. Biomater. Sci. 6, 501–510. doi:10.1039/C7BM01056G

PubMed Abstract | CrossRef Full Text | Google Scholar

McCaig, C. D., Song, B., and Rajnicek, A. M. (2009). Electrical Dimensions in Cell Science. J. Cell Sci. 122, 4267–4276. doi:10.1242/jcs.023564

PubMed Abstract | CrossRef Full Text | Google Scholar

McCrary, M. W., Bousalis, D., Mobini, S., Song, Y. H., and Schmidt, C. E. (2020). Decellularized Tissues as Platforms for In Vitro Modeling of Healthy and Diseased Tissues. Acta Biomater. 111, 1–19. doi:10.1016/j.actbio.2020.05.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Mellough, C. B., Collin, J., Khazim, M., White, K., Sernagor, E., Steel, D. H. W., et al. (2015). IGF-1 Signaling Plays an Important Role in the Formation of Three-Dimensional Laminated Neural Retina and Other Ocular Structures from Human Embryonic Stem Cells. Stem Cells 33, 2416–2430. doi:10.1002/stem.2023

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, X., Arocena, M., Penninger, J., Gage, F. H., Zhao, M., and Song, B. (2011). PI3K Mediated Electrotaxis of Embryonic and Adult Neural Progenitor Cells in the Presence of Growth Factors. Exp. Neurol. 227, 210–217. doi:10.1016/j.expneurol.2010.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, X., Li, W., Young, F., Gao, R., Chalmers, L., Zhao, M., et al. (2012). Electric Field-Controlled Directed Migration of Neural Progenitor Cells in 2D and 3D Environments. JoVE, e3453. doi:10.3791/3453

PubMed Abstract | CrossRef Full Text | Google Scholar

Merkle, F. T., Tramontin, A. D., García-Verdugo, J. M., and Alvarez-Buylla, A. (2004). Radial Glia Give Rise to Adult Neural Stem Cells in the Subventricular Zone. Proc. Natl. Acad. Sci. U.S.A. 101, 17528–17532. doi:10.1073/pnas.0407893101

PubMed Abstract | CrossRef Full Text | Google Scholar

Merrill, D. R., Bikson, M., and Jefferys, J. G. R. (2005). Electrical Stimulation of Excitable Tissue: Design of Efficacious and Safe Protocols. J. Neurosci. Methods 141, 171–198. doi:10.1016/j.jneumeth.2004.10.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Metcalf, M. E. M., and Borgens, R. B. (1994). Weak Applied Voltages Interfere with Amphibian Morphogenesis and Pattern. J. Exp. Zool. 268, 323–338. doi:10.1002/jez.1402680408

CrossRef Full Text | Google Scholar

Metcalf, M. E. M., Shi, R., and Borgens, R. B. (1994). Endogenous Ionic Currents and Voltages in Amphibian Embryos. J. Exp. Zool. 268, 307–322. doi:10.1002/jez.1402680407

CrossRef Full Text | Google Scholar

Meyer, J. S., Howden, S. E., Wallace, K. A., Verhoeven, A. D., Wright, L. S., Capowski, E. E., et al. (2011). Optic Vesicle-like Structures Derived from Human Pluripotent Stem Cells Facilitate a Customized Approach to Retinal Disease Treatment. Stem Cells 29, 1206–1218. doi:10.1002/stem.674

PubMed Abstract | CrossRef Full Text | Google Scholar

Miura, Y., Li, M.-Y., Revah, O., Yoon, S.-J., Narazaki, G., and Pașca, S. P. (2022). Engineering Brain Assembloids to Interrogate Human Neural Circuits. Nat. Protoc. 17, 15–35. doi:10.1038/s41596-021-00632-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Mobini, S., Leppik, L., and Barker, J. H. (2016). Direct Current Electrical Stimulation Chamber for Treating Cells In Vitro. BioTechniques 60, 95–98. doi:10.2144/000114382

PubMed Abstract | CrossRef Full Text | Google Scholar

Mobini, S., Leppik, L., Thottakkattumana Parameswaran, V., and Barker, J. H. (2017). In Vitroeffect of Direct Current Electrical Stimulation on Rat Mesenchymal Stem Cells. PeerJ 5, e2821. doi:10.7717/peerj.2821

PubMed Abstract | CrossRef Full Text | Google Scholar

Mobini, S., Song, Y. H., McCrary, M. W., and Schmidt, C. E. (2019). Advances in Ex Vivo Models and Lab-On-A-Chip Devices for Neural Tissue Engineering. Biomaterials 198, 146–166. doi:10.1016/j.biomaterials.2018.05.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Mobini, S., González, M. U., Caballero-Calero, O., Patrick, E. E., Martín-González, M., and García-Martín, J. M. (2022). Effects of Nanostructuration on the Electrochemical Performance of Metallic Bioelectrodes. Nanoscale 14, 3179–3190. doi:10.1039/D1NR06280H

PubMed Abstract | CrossRef Full Text | Google Scholar

Montalbetti, N., and Fischbarg, J. (2009). Frequency Spectrum of Transepithelial Potential Difference Reveals Transport-Related Oscillations. Biophysical J. 97, 1530–1537. doi:10.1016/j.bpj.2009.05.063

PubMed Abstract | CrossRef Full Text | Google Scholar

Morest, D. K., and Silver, J. (2003). Precursors of Neurons, Neuroglia, and Ependymal Cells in the CNS: What Are They? where Are They from? How Do They Get where They Are Going? Glia 43, 6–18. doi:10.1002/glia.10238

PubMed Abstract | CrossRef Full Text | Google Scholar

Muguruma, K., Nishiyama, A., Kawakami, H., Hashimoto, K., and Sasai, Y. (2015). Self-Organization of Polarized Cerebellar Tissue in 3D Culture of Human Pluripotent Stem Cells. Cell Rep. 10, 537–550. doi:10.1016/j.celrep.2014.12.051

PubMed Abstract | CrossRef Full Text | Google Scholar

Mukhopadhyay, M., Shtrom, S., Rodriguez-Esteban, C., Chen, L., Tsukui, T., Gomer, L., et al. (2001). Dickkopf1 Is Required for Embryonic Head Induction and Limb Morphogenesis in the Mouse. Dev. Cell 1, 423–434. doi:10.1016/s1534-5807(01)00041-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Murray, K., and Dubois-Dalcq, M. (1997). Emergence of Oligodendrocytes from Human Neural Spheres. J. Neurosci. Res. 50, 146–156. doi:10.1002/(sici)1097-4547(19971015)50:2<146::aid-jnr4>3.0.co;2-f

PubMed Abstract | CrossRef Full Text | Google Scholar

Nahas, Z., Anderson, B. S., Borckardt, J., Arana, A. B., George, M. S., Reeves, S. T., et al. (2010). Bilateral Epidural Prefrontal Cortical Stimulation for Treatment-Resistant Depression. Biol. Psychiatry 67, 101–109. doi:10.1016/j.biopsych.2009.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Neudorfer, C., Chow, C. T., Boutet, A., Loh, A., Germann, J., Elias, G. J., et al. (2021). Kilohertz-frequency Stimulation of the Nervous System: A Review of Underlying Mechanisms. Brain Stimul. 14, 513–530. doi:10.1016/j.brs.2021.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Newman, S. A. (2019). Inherency of Form and Function in Animal Development and Evolution. Front. Physiology 10. doi:10.3389/fphys.2019.00702

PubMed Abstract | CrossRef Full Text | Google Scholar

Ng, S.-Y., Winanto, Z.-J., Khong, Z.-J., and Hor, J.-H. (2019). Spinal Cord Organoids Add an Extra Dimension to Traditional Motor Neuron Cultures. Neural Regen. Res. 14, 1515–1516. doi:10.4103/1673-5374.255966

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, A. T., Mattiassi, S., Loeblein, M., Chin, E., Ma, D., Coquet, P., et al. (2018). Human Rett-Derived Neuronal Progenitor Cells in 3D Graphene Scaffold as an In Vitro Platform to Study the Effect of Electrical Stimulation on Neuronal Differentiation. Biomed. Mat. 13, 034111. doi:10.1088/1748-605X/aaaf2b

PubMed Abstract | CrossRef Full Text | Google Scholar

Northcutt, R. G. (1984). Evolution of the Vertebrate Central Nervous System: Patterns and Processes. Am. Zool. 24, 701–716. doi:10.1093/icb/24.3.701

CrossRef Full Text | Google Scholar

O'Hara-Wright, M., and Gonzalez-Cordero, A. (2020). Retinal Organoids: a Window into Human Retinal Development. Development 147, dev189746. doi:10.1242/dev.189746

PubMed Abstract | CrossRef Full Text | Google Scholar

Ogawa, J., Pao, G. M., Shokhirev, M. N., and Verma, I. M. (2018). Glioblastoma Model Using Human Cerebral Organoids. Cell Rep. 23, 1220–1229. doi:10.1016/j.celrep.2018.03.105

PubMed Abstract | CrossRef Full Text | Google Scholar

Oh, B., Wu, Y. W., Swaminathan, V., Lam, V., Ding, J., and George, P. M. (2021). Modulating the Electrical and Mechanical Microenvironment to Guide Neuronal Stem Cell Differentiation. Adv. Sci. 8, 2002112. doi:10.1002/advs.202002112

CrossRef Full Text | Google Scholar

Ohlemacher, S. K., Iglesias, C. L., Sridhar, A., Gamm, D. M., and Meyer, J. S. (2015). Generation of Highly Enriched Populations of Optic Vesicle-like Retinal Cells from Human Pluripotent Stem Cells. Curr. Protoc. Stem Cell Biol. 32, 1H, 20.1–1H.8.20. doi:10.1002/9780470151808.sc01h08s32

CrossRef Full Text | Google Scholar

Oshima, Y., Sakamoto, T., Kawano, Y.-I., Hata, Y., Yoshikawa, H., Sonoda, K.-H., et al. (1998). Synergistic Effect of Electric Pulses and Bleomycin on Cultured Rabbit Subconjunctival Fibroblasts. Graefe's Arch. Clin. Exp. Ophthalmol. 236, 52–60. doi:10.1007/s004170050042

CrossRef Full Text | Google Scholar

Oshima, Y., Sakamoto, T., Sonoda, K.-h., Yoshida, H., Ishibashi, T., and Inomata, H. (1997). Effect of Electric Pulses and Antiproliferative Drugs on Cultured Bovine Retinal Pigment Epithelial Cells. Curr. Eye Res. 16, 64–70. doi:10.1076/ceyr.16.1.64.5112

PubMed Abstract | CrossRef Full Text | Google Scholar

Pacitti, D., Privolizzi, R., and Bax, B. E. (2019). Organs to Cells and Cells to Organoids: The Evolution of In Vitro Central Nervous System Modelling. Front. Cell. Neurosci. 13. doi:10.3389/fncel.2019.00129

PubMed Abstract | CrossRef Full Text | Google Scholar

Pai, V. P., Aw, S., Shomrat, T., Lemire, J. M., and Levin, M. (2012). Transmembrane Voltage Potential Controls Embryonic Eye Patterning in Xenopus laevis. Development 139, 313–323. doi:10.1242/dev.073759

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, E., Lyon, J. G., Alvarado‐Velez, M., Betancur, M. I., Mokarram, N., Shin, J. H., et al. (2021). Enriching Neural Stem Cell and Anti‐inflammatory Glial Phenotypes with Electrical Stimulation after Traumatic Brain Injury in Male Rats. J. Neurosci. Res. 99, 1864–1884. doi:10.1002/jnr.24834

PubMed Abstract | CrossRef Full Text | Google Scholar

Pera, E. M., Wessely, O., Li, S.-Y., and De Robertis, E. M. (2001). Neural and Head Induction by Insulin-like Growth Factor Signals. Dev. Cell 1, 655–665. doi:10.1016/s1534-5807(01)00069-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Petrofsky, J., Hinds, C. M., Batt, J., Prowse, M., and Suh, H. J. (2007). The Interrelationships between Electrical Stimulation, the Environment Surrounding the Vascular Endothelial Cells of the Skin, and the Role of Nitric Oxide in Mediating the Blood Flow Response to Electrical Stimulation. Med. Sci. Monit. 13, CR391–397.

PubMed Abstract | Google Scholar

Pham, M. T., Pollock, K. M., Rose, M. D., Cary, W. A., Stewart, H. R., Zhou, P., et al. (2018). Generation of Human Vascularized Brain Organoids. Neuroreport 29, 588–593. doi:10.1097/WNR.0000000000001014

PubMed Abstract | CrossRef Full Text | Google Scholar

Pires, F., Ferreira, Q., Rodrigues, C. A. V., Morgado, J., and Ferreira, F. C. (2015). Neural Stem Cell Differentiation by Electrical Stimulation Using a Cross-Linked PEDOT Substrate: Expanding the Use of Biocompatible Conjugated Conductive Polymers for Neural Tissue Engineering. Biochimica Biophysica Acta (BBA) - General Subj. 1850, 1158–1168. doi:10.1016/j.bbagen.2015.01.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Popova, N. K., Ilchibaeva, T. V., and Naumenko, V. S. (2017). Neurotrophic Factors (BDNF and GDNF) and the Serotonergic System of the Brain. Biochem. Mosc. 82, 308–317. doi:10.1134/S0006297917030099

PubMed Abstract | CrossRef Full Text | Google Scholar

Prem, S., Millonig, J. H., and DiCicco-Bloom, E. (2020). Dysregulation of Neurite Outgrowth and Cell Migration in Autism and Other Neurodevelopmental Disorders. Adv. Neurobiol. 25, 109–153. doi:10.1007/978-3-030-45493-7_5

PubMed Abstract | CrossRef Full Text | Google Scholar

Qian, X., Jacob, F., Song, M. M., Nguyen, H. N., Song, H., and Ming, G.-l. (2018). Generation of Human Brain Region-specific Organoids Using a Miniaturized Spinning Bioreactor. Nat. Protoc. 13, 565–580. doi:10.1038/nprot.2017.152

PubMed Abstract | CrossRef Full Text | Google Scholar

Qian, X., Nguyen, H. N., Song, M. M., Hadiono, C., Ogden, S. C., Hammack, C., et al. (2016). Brain-Region-Specific Organoids Using Mini-Bioreactors for Modeling ZIKV Exposure. Cell 165, 1238–1254. doi:10.1016/j.cell.2016.04.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Quadrato, G., Nguyen, T., Macosko, E. Z., Sherwood, J. L., Min Yang, S., Berger, D. R., et al. (2017). Cell Diversity and Network Dynamics in Photosensitive Human Brain Organoids. Nature 545, 48–53. doi:10.1038/nature22047

PubMed Abstract | CrossRef Full Text | Google Scholar

Rae, C. L., Davies, G., Garfinkel, S. N., Gabel, M. C., Dowell, N. G., Cercignani, M., et al. (2017). Deficits in Neurite Density Underlie White Matter Structure Abnormalities in First-Episode Psychosis. Biol. Psychiatry 82, 716–725. doi:10.1016/j.biopsych.2017.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Reichman, S., Slembrouck, A., Gagliardi, G., Chaffiol, A., Terray, A., Nanteau, C., et al. (2017). Generation of Storable Retinal Organoids and Retinal Pigmented Epithelium from Adherent Human iPS Cells in Xeno-free and Feeder-free Conditions. Stem Cells 35, 1176–1188. doi:10.1002/stem.2586

PubMed Abstract | CrossRef Full Text | Google Scholar

Reichman, S., Terray, A., Slembrouck, A., Nanteau, C., Orieux, G., Habeler, W., et al. (2014). From Confluent Human iPS Cells to Self-Forming Neural Retina and Retinal Pigmented Epithelium. Proc. Natl. Acad. Sci. U.S.A. 111, 8518–8523. doi:10.1073/pnas.1324212111

PubMed Abstract | CrossRef Full Text | Google Scholar

Ren, W., Wang, L., Zhang, X., Feng, X., Zhuang, L., Jiang, N., et al. (2021). Expansion of Murine and Human Olfactory Epithelium/mucosa Colonies and Generation of Mature Olfactory Sensory Neurons under Chemically Defined Conditions. Theranostics 11, 684–699. doi:10.7150/thno.46750

PubMed Abstract | CrossRef Full Text | Google Scholar

Reubinoff, B. E., Itsykson, P., Turetsky, T., Pera, M. F., Reinhartz, E., Itzik, A., et al. (2001). Neural Progenitors from Human Embryonic Stem Cells. Nat. Biotechnol. 19, 1134–1140. doi:10.1038/nbt1201-1134

PubMed Abstract | CrossRef Full Text | Google Scholar

Reubinoff, B. E., Pera, M. F., Fong, C.-Y., Trounson, A., and Bongso, A. (2000). Embryonic Stem Cell Lines from Human Blastocysts: Somatic Differentiation In Vitro. Nat. Biotechnol. 18, 399–404. doi:10.1038/74447

PubMed Abstract | CrossRef Full Text | Google Scholar

Richard-Parpaillon, L., Héligon, C., Chesnel, F., Boujard, D., and Philpott, A. (2002). The IGF Pathway Regulates Head Formation by Inhibiting Wnt Signaling in Xenopus. Dev. Biol. 244, 407–417. doi:10.1006/dbio.2002.0605

PubMed Abstract | CrossRef Full Text | Google Scholar

Rothenbücher, T. S. P., Gürbüz, H., Pereira, M. P., Heiskanen, A., Emneus, J., and Martinez-Serrano, A. (2021). Next Generation Human Brain Models: Engineered Flat Brain Organoids Featuring Gyrification. Biofabrication 13, 011001. doi:10.1088/1758-5090/abc95e

PubMed Abstract | CrossRef Full Text | Google Scholar

Rust, R., and Kaiser, J. (2017). Insights into the Dual Role of Inflammation after Spinal Cord Injury. J. Neurosci. 37, 4658–4660. doi:10.1523/JNEUROSCI.0498-17.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Saad, Y., Segal, D., and Ayali, A. (2014). Enhanced Neurite Outgrowth and Branching Precede Increased Amyloid-β-Induced Neuronal Apoptosis in a Novel Alzheimer's Disease Model. Jad 43, 993–1006. doi:10.3233/JAD-140009

CrossRef Full Text | Google Scholar

Saha, A., Capowski, E., Fernandez Zepeda, M. A., Nelson, E. C., Gamm, D. M., and Sinha, R. (2022). Cone Photoreceptors in Human Stem Cell-Derived Retinal Organoids Demonstrate Intrinsic Light Responses that Mimic Those of Primate Fovea. Cell Stem Cell 29, 460–471. e3. doi:10.1016/j.stem.2022.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakaguchi, H., Kadoshima, T., Soen, M., Narii, N., Ishida, Y., Ohgushi, M., et al. (2015). Generation of Functional Hippocampal Neurons From Self-Organizing Human Embryonic Stem Cell-Derived Dorsomedial Telencephalic Tissue. Nat. Commun. 6, 8896. doi:10.1038/ncomms9896

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanie-Jahromi, F., Azizi, A., Shariat, S., and Johari, M. (2021). Effect of Electrical Stimulation on Ocular Cells: A Means for Improving Ocular Tissue Engineering and Treatments of Eye Diseases. BioMed Res. Int. 2021, 1–13. doi:10.1155/2021/6548554

PubMed Abstract | CrossRef Full Text | Google Scholar

Schopf, A., Boehler, C., and Asplund, M. (2016). Analytical Methods to Determine Electrochemical Factors in Electrotaxis Setups and Their Implications for Experimental Design. Bioelectrochemistry 109, 41–48. doi:10.1016/j.bioelechem.2015.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Sefton, E., Iwasa, S. N., Morrison, T., Naguib, H. E., Popovic, M. R., and Morshead, C. M. (2020). Electric Field Application In Vivo Regulates Neural Precursor Cell Behavior in the Adult Mammalian Forebrain. eNeuro 7. doi:10.1523/ENEURO.0273-20.2020

PubMed Abstract | CrossRef Full Text | Google Scholar

Sehic, A., Guo, S., Cho, K.-S., Corraya, R. M., Chen, D. F., and Utheim, T. P. (2016). Electrical Stimulation as a Means for Improving Vision. Am. J. Pathology 186, 2783–2797. doi:10.1016/j.ajpath.2016.07.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, R., and Borgens, R. B. (1995). Three-dimensional Gradients of Voltage during Development of the Nervous System as Invisible Coordinates for the Establishment of Embryonic Pattern. Dev. Dyn. 202, 101–114. doi:10.1002/aja.1002020202

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, Y., Sun, L., Wang, M., Liu, J., Zhong, S., Li, R., et al. (2020). Vascularized Human Cortical Organoids (vOrganoids) Model Cortical Development In Vivo. PLoS Biol. 18, e3000705. doi:10.1371/journal.pbio.3000705

PubMed Abstract | CrossRef Full Text | Google Scholar

Shihabuddin, L. S., Horner, P. J., Ray, J., and Gage, F. H. (2000). Adult Spinal Cord Stem Cells Generate Neurons after Transplantation in the Adult Dentate Gyrus. J. Neurosci. 20, 8727–8735. doi:10.1523/jneurosci.20-23-08727.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

Shin, J., Choi, E. J., Cho, J. H., Cho, A.-N., Jin, Y., Yang, K., et al. (2017). Three-Dimensional Electroconductive Hyaluronic Acid Hydrogels Incorporated with Carbon Nanotubes and Polypyrrole by Catechol-Mediated Dispersion Enhance Neurogenesis of Human Neural Stem Cells. Biomacromolecules 18, 3060–3072. doi:10.1021/acs.biomac.7b00568

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, R. K., Mallela, R. K., Cornuet, P. K., Reifler, A. N., Chervenak, A. P., West, M. D., et al. (2015). Characterization of Three-Dimensional Retinal Tissue Derived from Human Embryonic Stem Cells in Adherent Monolayer Cultures. Stem Cells Dev. 24, 2778–2795. doi:10.1089/scd.2015.0144

PubMed Abstract | CrossRef Full Text | Google Scholar

Sloan, S. A., Andersen, J., Pașca, A. M., Birey, F., and Pașca, S. P. (2018). Generation and Assembly of Human Brain Region-specific Three-Dimensional Cultures. Nat. Protoc. 13, 2062–2085. doi:10.1038/s41596-018-0032-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, R. S., Kenny, C. J., Ganesh, V., Jang, A., Borges-Monroy, R., Partlow, J. N., et al. (2018). Sodium Channel SCN3A (NaV1.3) Regulation of Human Cerebral Cortical Folding and Oral Motor Development. Neuron 99, 905–913. e7. doi:10.1016/j.neuron.2018.07.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, S., Amores, D., Chen, C., McConnell, K., Oh, B., Poon, A., et al. (2019). Controlling Properties of Human Neural Progenitor Cells Using 2D and 3D Conductive Polymer Scaffolds. Sci. Rep. 9, 19565. doi:10.1038/s41598-019-56021-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y.-k., Li, X.-b., Huang, X.-l., Zhao, J., Zhou, X.-x., Wang, Y.-l., et al. (2018). A Study of Neurite Orientation Dispersion and Density Imaging in Wilson's Disease. J. Magn. Reson. Imaging 48, 423–430. doi:10.1002/jmri.25930

PubMed Abstract | CrossRef Full Text | Google Scholar

Sordini, L., Garrudo, F. F. F., Rodrigues, C. A. V., Linhardt, R. J., Cabral, J. M. S., Ferreira, F. C., et al. (2021). Effect of Electrical Stimulation Conditions on Neural Stem Cells Differentiation on Cross-Linked PEDOT:PSS Films. Front. Bioeng. Biotechnol. 9, 591838. doi:10.3389/fbioe.2021.591838

PubMed Abstract | CrossRef Full Text | Google Scholar

Sparing, R., and Mottaghy, F. M. (2008). Noninvasive Brain Stimulation with Transcranial Magnetic or Direct Current Stimulation (TMS/tDCS)-From Insights into Human Memory to Therapy of its Dysfunction. Methods 44, 329–337. doi:10.1016/j.ymeth.2007.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Sprugnoli, G., Golby, A. J., and Santarnecchi, E. (2021). Newly Discovered Neuron-To-Glioma Communication: New Noninvasive Therapeutic Opportunities on the Horizon? Neuro-Oncology Adv. 3, vdab018. doi:10.1093/noajnl/vdab018

CrossRef Full Text | Google Scholar

Sprugnoli, G., Monti, L., Lippa, L., Neri, F., Mencarelli, L., Ruffini, G., et al. (2019). Reduction of Intratumoral Brain Perfusion by Noninvasive Transcranial Electrical Stimulation. Sci. Adv. 5, eaau9309. doi:10.1126/sciadv.aau9309

PubMed Abstract | CrossRef Full Text | Google Scholar

Stewart, E., Kobayashi, N. R., Higgins, M. J., Quigley, A. F., Jamali, S., Moulton, S. E., et al. (2015). Electrical Stimulation Using Conductive Polymer Polypyrrole Promotes Differentiation of Human Neural Stem Cells: a Biocompatible Platform for Translational Neural Tissue Engineering. Tissue Eng. Part C. Methods 21, 385–393. doi:10.1089/ten.TEC.2014.0338

PubMed Abstract | CrossRef Full Text | Google Scholar

Stone, S. S. D., Teixeira, C. M., DeVito, L. M., Zaslavsky, K., Josselyn, S. A., Lozano, A. M., et al. (2011). Stimulation of Entorhinal Cortex Promotes Adult Neurogenesis and Facilitates Spatial Memory. J. Neurosci. 31, 13469–13484. doi:10.1523/JNEUROSCI.3100-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Strano, A., Tuck, E., Stubbs, V. E., and Livesey, F. J. (2020). Variable Outcomes in Neural Differentiation of Human PSCs Arise from Intrinsic Differences in Developmental Signaling Pathways. Cell Rep. 31, 107732. doi:10.1016/j.celrep.2020.107732

PubMed Abstract | CrossRef Full Text | Google Scholar

Sui, Y., Tian, Y., Ko, W. K. D., Wang, Z., Jia, F., Horn, A., et al. (2021). Deep Brain Stimulation Initiative: Toward Innovative Technology, New Disease Indications, and Approaches to Current and Future Clinical Challenges in Neuromodulation Therapy. Front. Neurology 11. doi:10.3389/fneur.2020.597451

CrossRef Full Text | Google Scholar

Sutcliffe, M., and Lancaster, M. A. (2017). A Simple Method of Generating 3D Brain Organoids Using Standard Laboratory Equipment. Methods Mol. Biol. 1576, 1–12. doi:10.1007/7651_2017_2

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang-Schomer, M. D., White, J. D., Tien, L. W., Schmitt, L. I., Valentin, T. M., Graziano, D. J., et al. (2014). Bioengineered Functional Brain-like Cortical Tissue. Proc. Natl. Acad. Sci. U.S.A. 111, 13811–13816. doi:10.1073/pnas.1324214111

PubMed Abstract | CrossRef Full Text | Google Scholar

Tao, Y., Chen, T., Liu, B., Wang, L.-Q., Peng, G.-H., Qin, L.-M., et al. (2016). The Transcorneal Electrical Stimulation as a Novel Therapeutic Strategy against Retinal and Optic Neuropathy: a Review of Experimental and Clinical Trials. Int. J. Ophthalmol. 9, 914–919. doi:10.18240/ijo.2016.06.21

PubMed Abstract | CrossRef Full Text | Google Scholar

Thomson, J. A., Itskovitz-Eldor, J., Shapiro, S. S., Waknitz, M. A., Swiergiel, J. J., Marshall, V. S., et al. (1998). Embryonic Stem Cell Lines Derived from Human Blastocysts. Science 282, 1145–1147. doi:10.1126/science.282.5391.1145

PubMed Abstract | CrossRef Full Text | Google Scholar

Tomaskovic‐Crook, E., Zhang, P., Ahtiainen, A., Kaisvuo, H., Lee, C. Y., Beirne, S., et al. (2019). Human Neural Tissues from Neural Stem Cells Using Conductive Biogel and Printed Polymer Microelectrode Arrays for 3D Electrical Stimulation. Adv. Healthc. Mat. 8, 1900425. doi:10.1002/adhm.201900425

CrossRef Full Text | Google Scholar

Tomaskovic-Crook, E., Gu, Q., Rahim, S. N. A., Wallace, G. G., and Crook, J. M. (2020). Conducting Polymer Mediated Electrical Stimulation Induces Multilineage Differentiation with Robust Neuronal Fate Determination of Human Induced Pluripotent Stem Cells. Cells 9, 658. doi:10.3390/cells9030658

PubMed Abstract | CrossRef Full Text | Google Scholar

Trivedi, D. P., Hallock, K. J., and Bergethon, P. R. (2013). Electric Fields Caused by Blood Flow Modulate Vascular Endothelial Electrophysiology and Nitric Oxide Production. Bioelectromagnetics 34, 22–30. doi:10.1002/bem.21741

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsai, H.-F., Cheng, J.-Y., Chang, H.-F., Yamamoto, T., and Shen, A. Q. (2016). Uniform Electric Field Generation in Circular Multi-Well Culture Plates Using Polymeric Inserts. Sci. Rep. 6, 26222. doi:10.1038/srep26222

PubMed Abstract | CrossRef Full Text | Google Scholar

Uga, S., and Smelser, G. K. (1973). Comparative Study of the Fine Structure of Retinal Müller Cells in Various Vertebrates. Invest Ophthalmol. 12, 434–448.

PubMed Abstract | Google Scholar

van Hartevelt, T. J., Cabral, J., Deco, G., Møller, A., Green, A. L., Aziz, T. Z., et al. (2014). Neural Plasticity in Human Brain Connectivity: The Effects of Long Term Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson's Disease. PLoS One 9, e86496. doi:10.1371/journal.pone.0086496

PubMed Abstract | CrossRef Full Text | Google Scholar

Vedam-Mai, V., Gardner, B., Okun, M. S., Siebzehnrubl, F. A., Kam, M., Aponso, P., et al. (2014). Increased Precursor Cell Proliferation after Deep Brain Stimulation for Parkinson's Disease: A Human Study. PLoS One 9, e88770. doi:10.1371/journal.pone.0088770

PubMed Abstract | CrossRef Full Text | Google Scholar

Venkataramani, V., Tanev, D. I., Strahle, C., Studier-Fischer, A., Fankhauser, L., Kessler, T., et al. (2019). Glutamatergic Synaptic Input to Glioma Cells Drives Brain Tumour Progression. Nature 573, 532–538. doi:10.1038/s41586-019-1564-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Venkatesh, H. S., Morishita, W., Geraghty, A. C., Silverbush, D., Gillespie, S. M., Arzt, M., et al. (2019). Electrical and Synaptic Integration of Glioma into Neural Circuits. Nature 573, 539–545. doi:10.1038/s41586-019-1563-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Verge, V. K., Ayanwuyi, L., Tokarska, N., McLean, N., and Johnston, J. (2022). Brief Electrical Nerve Stimulation Enhances Intrinsic Repair Capacity of the Focally Demyelinated Central Nervous System. Neural Regen. Res. 17, 1042–1050. doi:10.4103/1673-5374.324848

PubMed Abstract | CrossRef Full Text | Google Scholar

Vitali, I., Fièvre, S., Telley, L., Oberst, P., Bariselli, S., Frangeul, L., et al. (2018). Progenitor Hyperpolarization Regulates the Sequential Generation of Neuronal Subtypes in the Developing Neocortex. Cell 174, 1264–1276. e15. doi:10.1016/j.cell.2018.06.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Vukicevic, S., Kleinman, H. K., Luyten, F. P., Roberts, A. B., Roche, N. S., and Reddi, A. H. (1992). Identification of Multiple Active Growth Factors in Basement Membrane Matrigel Suggests Caution in Interpretation of Cellular Activity Related to Extracellular Matrix Components. Exp. Cell Res. 202, 1–8. doi:10.1016/0014-4827(92)90397-q

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Guo, J., Wu, S., Feng, H., Sun, S., Pan, J., et al. (2012). Synergistic Effects of Nanosecond Pulsed Electric Fields Combined with Low Concentration of Gemcitabine on Human Oral Squamous Cell Carcinoma In Vitro. PLOS ONE 7, e43213. doi:10.1371/journal.pone.0043213

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, M., Li, P., Liu, M., Song, W., Wu, Q., and Fan, Y. (2013). Potential Protective Effect of Biphasic Electrical Stimulation against Growth Factor-Deprived Apoptosis on Olfactory Bulb Neural Progenitor Cells through the Brain-Derived Neurotrophic Factor-Phosphatidylinositol 3′-kinase/Akt Pathway. Exp. Biol. Med. (Maywood) 238, 951–959. doi:10.1177/1535370213494635

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, S., Guan, S., Li, W., Ge, D., Xu, J., Sun, C., et al. (2018). 3D Culture of Neural Stem Cells within Conductive PEDOT Layer-Assembled Chitosan/gelatin Scaffolds for Neural Tissue Engineering. Mater. Sci. Eng. C 93, 890–901. doi:10.1016/j.msec.2018.08.054

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Z., Zhang, S., Liu, C., Yao, Y., Shi, J., Zhang, J., et al. (2019). A Study of Neurite Orientation Dispersion and Density Imaging in Ischemic Stroke. Magn. Reson. Imaging 57, 28–33. doi:10.1016/j.mri.2018.10.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Watanabe, M., Buth, J. E., Vishlaghi, N., de la Torre-Ubieta, L., Taxidis, J., Khakh, B. S., et al. (2017). Self-Organized Cerebral Organoids with Human-specific Features Predict Effective Drugs to Combat Zika Virus Infection. Cell Rep. 21, 517–532. doi:10.1016/j.celrep.2017.09.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Watson, S. A., Duff, J., Bardi, I., Zabielska, M., Atanur, S. S., Jabbour, R. J., et al. (2019). Biomimetic Electromechanical Stimulation to Maintain Adult Myocardial Slices In Vitro. Nat. Commun. 10, 2168. doi:10.1038/s41467-019-10175-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Webster, B. R., Celnik, P. A., and Cohen, L. G. (2006). Noninvasive Brain Stimulation in Stroke Rehabilitation. NeuroRx 3, 474–481. doi:10.1016/j.nurx.2006.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei, X., Guan, L., Fan, P., Liu, X., Liu, R., Liu, Y., et al. (2020). Direct Current Electric Field Stimulates Nitric Oxide Production and Promotes NO-dependent Angiogenesis: Involvement of the PI3K/Akt Signaling Pathway. J. Vasc. Res. 57, 195–205. doi:10.1159/000506517

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, J. Q., Habegger, L., Noisa, P., Szekely, A., Qiu, C., Hutchison, S., et al. (2010). Dynamic Transcriptomes During Neural Differentiation of Human Embryonic Stem Cells Revealed by Short, Long, and Paired-end Sequencing. PNAS. 107, 5254–5259. doi:10.1073/pnas.0914114107

CrossRef Full Text | Google Scholar

Xiang, Y., Tanaka, Y., Cakir, B., Patterson, B., Kim, K.-Y., Sun, P., et al. (2019). hESC-Derived Thalamic Organoids Form Reciprocal Projections when Fused with Cortical Organoids. Cell Stem Cell 24, 487–497. e7. doi:10.1016/j.stem.2018.12.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiang, Y., Tanaka, Y., Patterson, B., Kang, Y.-J., Govindaiah, G., Roselaar, N., et al. (2017). Fusion of Regionally Specified hPSC-Derived Organoids Models Human Brain Development and Interneuron Migration. Cell Stem Cell 21, 383–398. e7. doi:10.1016/j.stem.2017.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiong, G. M., Do, A. T., Wang, J. K., Yeoh, C. L., Yeo, K. S., and Choong, C. (2015). Development of a Miniaturized Stimulation Device for Electrical Stimulation of Cells. J. Biol. Eng. 9, 14. doi:10.1186/s13036-015-0012-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, Q., Jin, L., Li, C., Kuddannayai, S., and Zhang, Y. (2018). The Effect of Electrical Stimulation on Cortical Cells in 3D Nanofibrous Scaffolds. RSC Adv. 8, 11027–11035. doi:10.1039/C8RA01323C

CrossRef Full Text | Google Scholar

Yamada, M., Tanemura, K., Okada, S., Iwanami, A., Nakamura, M., Mizuno, H., et al. (2007). Electrical Stimulation Modulates Fate Determination of Differentiating Embryonic Stem Cells. STEM CELLS 25, 562–570. doi:10.1634/stemcells.2006-0011

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, C.-S., Kim, J.-J., Lee, S. J., Hwang, J. H., Lee, C.-H., Lee, M.-S., et al. (2013). TLR3-triggered Reactive Oxygen Species Contribute to Inflammatory Responses by Activating Signal Transducer and Activator of Transcription-1. J. I. 190, 6368–6377. doi:10.4049/jimmunol.1202574

CrossRef Full Text | Google Scholar

Yang, C., Wang, L., Weng, W., Wang, S., Ma, Y., Mao, Q., et al. (2019). Steered Migration and Changed Morphology of Human Astrocytes by an Applied Electric Field. Exp. Cell Res. 374, 282–289. doi:10.1016/j.yexcr.2018.11.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Yeo, H., Lyssiotis, C. A., Zhang, Y., Ying, H., Asara, J. M., Cantley, L. C., et al. (2013). FoxO3 Coordinates Metabolic Pathways to Maintain Redox Balance in Neural Stem Cells. EMBO J. 32, 2589–2602. doi:10.1038/emboj.2013.186

PubMed Abstract | CrossRef Full Text | Google Scholar

Yi, S. A., Zhang, Y., Rathnam, C., Pongkulapa, T., and Lee, K. B. (2021). Bioengineering Approaches for the Advanced Organoid Research. Adv. Mat. 33, 2007949. doi:10.1002/adma.202007949

CrossRef Full Text | Google Scholar

Zhang, Q., Beirne, S., Shu, K., Esrafilzadeh, D., Huang, X.-F., and Wallace, G. G. (2018). Electrical Stimulation with a Conductive Polymer Promotes Neurite Outgrowth and Synaptogenesis in Primary Cortical Neurons in 3D. Sci. Rep. 8, 9855. doi:10.1038/s41598-018-27784-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, X., and Bhattacharyya, A. (2018). Human Models Are Needed for Studying Human Neurodevelopmental Disorders. Am. J. Hum. Genet. 103, 829–857. doi:10.1016/j.ajhg.2018.10.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Z., Qin, L., Reid, B., Pu, J., Hara, T., and Zhao, M. (2012). Directing Migration of Endothelial Progenitor Cells with Applied DC Electric Fields. Stem Cell Res. 8, 38–48. doi:10.1016/j.scr.2011.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhong, X., Gutierrez, C., Xue, T., Hampton, C., Vergara, M. N., Cao, L.-H., et al. (2014). Generation of Three-Dimensional Retinal Tissue with Functional Photoreceptors from Human iPSCs. Nat. Commun. 5, 4047. doi:10.1038/ncomms5047

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, W., Ye, T., Lee, S.-J., Cui, H., Miao, S., Zhou, X., et al. (2018). Enhanced Neural Stem Cell Functions in Conductive Annealed Carbon Nanofibrous Scaffolds with Electrical Stimulation. Nanomedicine Nanotechnol. Biol. Med. 14, 2485–2494. doi:10.1016/j.nano.2017.03.018

CrossRef Full Text | Google Scholar

Zhu, Y., Wang, L., Yin, F., Yu, Y., Wang, Y., Liu, H., et al. (2017). A Hollow Fiber System for Simple Generation of Human Brain Organoids. Integr. Biol. 9, 774–781. doi:10.1039/C7IB00080D

CrossRef Full Text | Google Scholar

Zimmermann, J., Budde, K., Arbeiter, N., Molina, F., Storch, A., Uhrmacher, A. M., et al. (2021). Using a Digital Twin of an Electrical Stimulation Device to Monitor and Control the Electrical Stimulation of Cells. vitro. Front. Bioeng. Biotechnol. 9. Available at: https://www.frontiersin.org/article/10.3389/fbioe.2021.765516 (Accessed March 14, 2022).

CrossRef Full Text | Google Scholar