Abstract
Neurovascular coupling (NVC) is an important mechanism to ensure adequate blood supply to active neurons in the brain. NVC damage can lead to chronic impairment of neuronal function. Diabetes is characterized by high blood sugar and is considered an important risk factor for cognitive impairment. In this review, we provide fMRI evidence of NVC damage in diabetic patients with cognitive decline. Combined with the exploration of the major mechanisms and signaling pathways of NVC, we discuss the effects of chronic hyperglycemia on the cellular structure of NVC signaling, including key receptors, ion channels, and intercellular connections. Studying these diabetes-related changes in cell structure will help us understand the underlying causes behind diabetes-induced NVC damage and early cognitive decline, ultimately helping to identify the most effective drug targets for treatment.
1 Introduction
The brain, as the highest level of the nervous system, serves as the control center for human behavior and cognitive functions. It is also the most energy-consuming organ in the human body. In which neurons exhibit a high metabolic rate but lack energy reserves (Raut et al., 2023). To ensure an adequate energy supply for neurons, the brain has evolved a mechanism to regulate local cerebral blood flow (CBF), known as NVC or functional hyperemia. This mechanism involves dynamic changes in local blood flow supply in response to the electrical activity of neurons to meet metabolic demands. There are three types of neurovascular regulation mechanisms for CBF in the brain (Figure 1): (1) Cortical neuron neurotransmitter regulation mechanism (i.e., the classic NVC pathway); (2) Subcortical nucleus-neurotransmitter regulation mechanism (Kocharyan et al., 2008; ; ; Lecrux et al., 2017); (3) Regulation mechanism of peripheral sympathetic/parasympathetic postganglionic neurons vasoactive substances (Hamel, 2006; Seifert and Secher, 2011). The classic NVC pathway relies on the neurovascular unit (NVU), which involves the transmission of information among neurons, astrocytes, endothelial cells, smooth muscle cells (SMCs), and pericytes (Schaeffer and Iadecola, 2021). The generation of neuronal action potentials serves as the initiating factor, with astrocytes sensing neuronal activity and their endfeet directly connecting to blood vessels, facilitating the transmission of neuronal activity signals to the local vascular system (Sweeney et al., 2016; McConnell et al., 2017). The SMCs of arterioles and pericytes of capillaries, serving as effectors in NVC, receive signals from the aforementioned cells to regulate vascular tone (Stackhouse and Mishra, 2021). Any damage to any component of the NVU can lead to functional impairment of NVC, resulting in a mismatch between CBF supply and neuronal activity. This, in turn, leads to chronic damage to brain neurons and a decline in cognitive function (Iadecola, 2017; Turner, 2021).
FIGURE 1
Diabetes mellitus (DM), characterized by high blood sugar levels, is considered a significant risk factor for cognitive impairment (Roberts et al., 2014; Koekkoek et al., 2015). Previous studies have shown that regional cerebral perfusion in patients with type 2 diabetes mellitus (T2DM) is significantly reduced in multiple locations (including the occipital lobe, regions involved in the default mode network, and cerebellum). Moreover, this reduction is associated with widespread cognitive decline (including impairments in learning, memory, attention, and executive function) (
In this review, we initiate our exploration from neuroimaging studies of diabetes-associated cognitive decline, focusing on the role of impaired NVC, also known as neurovascular uncoupling, in the context of cognitive deterioration in diabetes. Our emphasis will be on investigating the potential mechanisms through which diabetes induces NVC impairment and on outlining future research directions. By doing so, we aim to provide insights into the diagnosis and treatment strategies for early cognitive decline associated with diabetes.
2 Evidence of cognitive decline in diabetes patients
Diabetes is a risk factor for cognitive decline. Moreover, as the disease progresses, complications emerge, and blood glucose control deteriorates, the risk of developing cognitive impairment increases (
As mentioned earlier, CBF significantly decreases in multiple regions in patients with T2DM (
Numerous clinical studies have found a close relationship between white matter injury and cognitive function (especially executive function) deterioration (Fletcher et al., 2018; Yamanaka et al., 2019; Jeong et al., 2022; Scamarcia et al., 2022; Wang et al., 2022;
As is well known, the hippocampus is closely associated with learning and long-term memory functions. Imaging studies have suggested that middle-aged and elderly patients with T2DM exhibit more extensive hippocampal atrophy compared to control groups (Hirabayashi et al., 2016; Ohara et al., 2020; Zhang W. et al., 2021). Interestingly, Zhang W. et al.’s (2021) findings indicate that in middle-aged T2DM patients, hippocampal atrophy is more strongly correlated with cognitive impairment than microvascular lesions. Due to differences in microvasculature, the NVC in the hippocampus is weaker than in the neocortex (Shaw et al., 2021). When pathological factors (such as a high glucose environment) impair NVC, the hippocampus is more susceptible to hypoxic damage, leading to hippocampal atrophy (Shaw et al., 2021; Zhang et al., 2022).
Animal studies suggest that diabetes leads to a decrease in the number of active neurons in the hippocampal region, possibly due to reduced neural stem cell proliferation and differentiation (Hwang et al., 2008, 2010; Ho et al., 2015), hippocampal cell aging (Wu et al., 2019) and increased apoptosis (Yan et al., 2019). In the hippocampus of diabetic rats, early mechanistic studies have reported impaired protein transport from the soma to dendrites (Gaspar et al., 2010), synaptic vesicle depletion (Magariños and McEwen, 2000), and altered neurotransmitter release (Misumi et al., 2008; Satoh and Takahashi, 2008). These diabetes-related effects may also contribute to the development of cognitive decline (Gaspar et al., 2010). Recently, Xiang et al. (2024) conducted single-cell RNA sequencing of the hippocampus in db-/- diabetic mice and found upregulation of genes involved in neuroactive ligand-receptor interaction, nervous system development, and inflammatory processes in the cognitive impairment group compared to the normal control group. Among them, the cross-gene Sstr2 may play an important role in regulating synaptic plasticity (Xiang et al., 2024). Research by
3 Clinical evidence of NVC impairment in diabetes patients
Technic used for NVC measurement: The NVC mechanism also forms the physiological basis for blood oxygenation level-dependent (BOLD) functional imaging techniques of the brain, including functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS) (Howarth et al., 2021). These imaging techniques monitor changes in the concentrations of oxygenated and deoxygenated hemoglobin in response to increased local CBF caused by neuronal electrical activity. By observing the relative changes in hemoglobin concentration, these imaging techniques allow for the examination of alterations in neuronal activity. The combination of functional imaging techniques with arterial spin labeling (ASL) MRI, which reflects cerebral tissue perfusion, enables the non-invasive measurement of the NVC status in the human brain under disease conditions (Howarth et al., 2021).
Hu et al. (2019) used fMRI and ASL to measure NVC in the brains of age-matched T2DM patients and healthy controls. They found that T2DM patients exhibited significantly lower NVC in nearly all brain regions. Specifically, lower NVC in the left hippocampus and amygdala was significantly correlated with poorer performance on the Stroop Color-Word Test, which reflects inhibitory functions in executive function (Okayasu et al., 2023). Yu et al. (2019) further confirmed the presence of NVC impairment in early-stage T2DM patients and established a correlation between NVC impairment and decline in executive function, with improved executive function performance as NVC improves (Yu et al., 2019). They suggest that NVC dysfunction is one of the potential mechanisms underlying mild cognitive impairment (MCI) associated with T2DM. Yu et al. (2019) also found that certain NVC parameters could serve as biomarkers for early assessment of cognitive decline in T2DM patients, which also contribute to a better understanding of NVC mechanisms (Ni et al., 2023). Additionally, three other clinical studies have identified changes in NVC during the early stages of diabetes (
The comparison of fMRI vs. fNIRS on NVC functional evaluation: Current fMRI studies have certain limitations. Most studies focus on detecting the state of neuronal activity and CBF in the resting state of the brain. In reality, the energy demands of the brain are higher during cognitive tasks than during rest. Therefore, observations made in the resting state may only reflect a partial understanding of impaired NVC in diabetes patients. In comparison to fMRI, functional near-infrared spectroscopy (fNIRS) can be conducted in a more real-life environment, making it easier to observe and record cortical activity during cognitive tasks (Mazaika et al., 2020). Tamas’s review discusses the potential applications of fNIRS-based methods in studying NVC responses (Mazaika et al., 2020). However, research on diabetes-related NVC changes using fNIRS is relatively sparse at the moment, making it a fertile area for future investigation.
4 Hyperglycemic and NVC impairment
The characteristics of diabetes include impaired glucose metabolism and a hyperglycemic environment resulting from insulin resistance and/or deficiency. High blood sugar is the initial pathological factor in diabetes complications, leading to cellular damage in the brain by elevating glucose levels.
The implementation of NVC relies on the NVU. Currently, studies have confirmed that certain components of the NVU exhibit abnormal morphology and function under diabetic conditions (Hayden, 2019; Yan et al., 2020; Little et al., 2022). Oxidative stress is considered one of the pathological mechanisms by which diabetes damages the NVU (Li et al., 2021), including increased levels of reactive oxygen species (ROS) (Jha et al., 2018; Li et al., 2023), the generation of advanced glycation end-products (AGEs) (Yamagishi et al., 2017; Li Y. et al., 2018), abnormal transcriptional activation of nuclear factor kappa B (NF-κB) (Homme et al., 2021), and excessive activation of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase 2 (Rezende et al., 2018; Moon, 2023), among others. Additionally, chronic inflammation is recognized as an important feature of the pathophysiology of central nervous system diseases related to diabetes and is well demonstrated in diabetes experimental models (Robb et al., 2020). Among these, microglia play a role in the invasive destruction within the NVU and are associated with dysfunction of astrocytes (Hayden, 2019). In diabetic animal models, a shift from the M1/M2 polarization phenotype of microglia toward the M1 phenotype is detected in the cortex and hypothalamus, leading to excessive secretion of inflammatory cytokines, which is associated with downregulation of miR-146a expression under high glucose and glucose fluctuations (Huang et al., 2019). Indeed, the mechanisms underlying NVU damage are multifactorial and complex, and some review articles have summarized changes in the NVU under diabetic conditions and their mechanisms (Yan et al., 2020). Based on the current known mechanisms, from the perspective of understanding the implementation process of NVC, diabetes may damage NVC through two main aspects: disrupting key normal structures of neurovascular units and interfering with the transmission of cell signals related to NVC.
4.1 Damage to the normal structure of neurovascular units
The end feet structure and astrocytes activation: Astrocytes’ end feet directly wrap around cerebral arterioles and capillaries, undertaking the crucial task of transmitting neuronal activity signals to the local vascular system, which is essential for NVC. SMCs in arterioles are sensitive to potassium concentrations around the vascular wall, and in NVC, astrocytes can mediate vasodilation by momentarily elevating the K+ concentration in the space between their end feet and the blood vessel (Longden and Nelson, 2015; Li and Yang, 2023). Under normal circumstances, the space between astrocyte end feet and blood vessels is extremely narrow (basement membrane width, approximately 20 nm), a critical factor enabling the rapid alteration of potassium concentration around the vascular wall (Longden and Nelson, 2015). However, in diabetic mice, the end feet of astrocytes are separated from the blood vessel wall, which may impact the aforementioned process and is considered an expression of reactive astrocytes (Mauricio et al., 2023).
When the brain is subjected to pathological stimuli, astrocytes are activated and become reactive astrocytes. Transient reactive astrocytes are believed to have a neuroprotective effect (Lorenzo et al., 2021), while persistent hyperglycemia and AGEs mediate sustained activation of astrocytes (Meng et al., 2023), leading to cellular dysfunction and neuronal inflammatory responses. Astrocytes take up glucose through glucose-dependent glucose transporter 1 (GLUT1) on the cell membrane (Maurer et al., 2006). High blood glucose can significantly downregulate the expression of GLUT1 in astrocytes (Shi et al., 2020), resulting in energy and metabolic disturbances. It can also inhibit the migration and proliferation of astrocytes by suppressing the expression of cell cycle proteins D1 and D3 (Li W. et al., 2018). In vitro studies have found that high blood glucose increases extracellular ROS levels in cells, mediating the activation of astrocytes through the MEK/ERK1/2 pathway and downstream transcription factors NF-κB and c-Fos/activating protein 1 (AP-1) (Yang et al., 2017). Additionally, elevated AGEs increase the expression of the receptor for AGEs (RAGE) in astrocytes (Han et al., 2014; Nardin et al., 2016), and the interaction between AGEs and RAGE can activate NF-κB through various signaling pathways, such as PI3K/AKT, MEK/ERK1/2 and NADPH oxidase pathways (
Moreover, recent research has found an association between increased expression of HMG20A [a chromatin factor that regulates genome expression by establishing active or silent chromatin (Mellado-Gil et al., 2018)] and the neuroprotective effect mediated by astrocyte activation. Although the specific reasons remain unclear, chronic hyperglycemia is believed to decrease the levels of HMG20A (Lorenzo et al., 2021), increasing neuronal susceptibility to stress-induced apoptosis. The lysine-specific demethylase 1 (a chromatin-modifying enzyme) inhibitor ORY1001 (Iadademstat) can mimic the role of HMG20A (Salamero et al., 2020; Noce et al., 2023), thereby reversing this imbalance.
Tight junctions of endothelial cells and blood-brain barrier (BBB): The BBB is a structural barrier located at the interface between brain tissue and blood, consisting of endothelial cells, basement membrane, pericytes, and astrocyte endfeet. The protective function of the BBB often leads to microvascular damage in diabetes preceding damage to brain neural tissue. Hyperglycemia can lead to BBB leakage by downregulating tight junction proteins between endothelial cells (Yoo et al., 2016), exposing various cell components of the NVU to a harmful environment. Additionally, this process further worsens BBB dysfunction by disrupting the adhesion relationship between the endothelial basement membrane and cell components (Gandhi et al., 2010;
Previous studies have suggested that elevated blood glucose leads to BBB impairment by downregulating tight junction proteins between endothelial cells (Yoo et al., 2016). However, recent research has observed a significant increase in tight junction proteins, including occludin, on extracellular vesicles derived from endothelial cells isolated from the serum of T1DM mice (Rom et al., 2020). Additionally, the levels of occludin mRNA were markedly elevated in isolated micro-vessels (Rom et al., 2020). This indicates that high blood glucose may result in abnormal membrane distribution of tight junction proteins rather than a decrease in their expression. However, the specific mechanisms underlying this distribution abnormality remain unclear.
Gap junctions (GJs): GJs allow charged ions to pass freely, and GJs between vascular wall cells are a crucial structure for transmitting vasodilation signals. Due to the limited contractile function of capillaries, vascular dilation signals (such as K+-induced hyperpolarization currents and Ca2+ waves) transmitted through GJs to arterioles with stronger contractile function play a particularly important role in NVC. Kovacs-Oller et al. (2020) found that in the retinal capillaries of diabetic mice, the expression of GJs in pericytes was downregulated. This led to a limitation in GJ-dependent Ca2+ waves and vascular constriction responses (Kovacs-Oller et al., 2020), although the specific mechanism remains unclear. Interestingly, pericytes primarily connect with other neighboring pericytes and endothelial cells, with fewer connections to arterial SMCs. This exclusive connection reduces blood “stealing” from other branches (perfuse other areas but from the same arterioles) which ensures the spatial accuracy of NVC (Kovacs-Oller et al., 2020). Diabetes disrupts this accuracy, preventing the effective concentration of blood supply in regions with active neural function. Although this change in the retina has not been validated in cerebral NVC, imaging studies in humans with T2DM suggest a potential disruption in the spatial distribution of CBF (Tiehuis et al., 2008; Wang et al., 2021). This disruption implies that while overall cerebral perfusion may not decrease significantly, regional cerebral perfusion in various locations, including the occipital lobe and regions involving the default mode network, may be impaired.
Connexin43 (Cx43) is the most common type of gap junction protein in the human body, expressed in all types of vascular cells (Mugisho et al., 2017; Sedovy et al., 2023). Previous extensive research has shown that a high glucose environment damages gap junctional intercellular communication (GJIC) in both endothelial cells (
4.2 Impaired NVC signaling and calcium cascade in astrocytes
The generation of neuronal action potentials is the initiating factor for NVC. When neurons are activated by the excitatory neurotransmitter glutamate, the same signal also activates the metabolic glutamate receptor 5 (mGluR5) on neighboring astrocytes and leads to an increase in intracellular Ca2+ concentration through the classic inosine phosphate 4, 5-diphosphate (PIP2) -inositol triphosphate (IP3) -Ca2 + cascade [the source of calcium ions is still controversial (
Elevated blood glucose levels have been shown to increase the expression of mGluR5 receptors in the cortical region of the adult rat brain (Joseph et al., 2008;
4.3 Potassium ion signal and hyperpolarization current in vascular wall cells
Elevation of Ca2+ in astrocytic endfeet activates large-conductance calcium-activated potassium (BKCa) channels, leading to K+ efflux and an increase in extracellular K+ concentration in the space between the endfeet and vascular wall cells (Kisler et al., 2017). The elevated external K+ activates inward rectifying potassium channel 2.1 (Kir2.1) on vessel wall cells (endothelial cells, SMCs, and perivascular cells) (Longden and Nelson, 2015). The K+ efflux causes hyperpolarization and propagates hyperpolarization signals through gap junctions (Paulson and Newman, 1987; Longden et al., 2017; Figure 1). Simultaneously, it induces the closure of voltage-dependent Ca2+ channels on SMCs or perivascular cells, reducing Ca2+ influx and leading to localized vasodilation (Longden and Nelson, 2015).
Currently, there is no research indicating whether diabetes impairs the BKCa channels of astrocytes. However, studies have suggested a reduction in the functionality of Kir2.1 channels in cerebral arterioles of streptozotocin-induced T1DM rats (Mayhan et al., 2004), and this reduction is related to the increase of PKC activity caused by selective up-regulation of PKC-α (a subtype of PKC) (Vetri et al., 2013, 2017). Recent research has found reduced Kir2.1 expression in the cerebral microvasculature of Alzheimer’s disease (AD) rats, leading to early impairment of NVC in AD rats (Van Den Berg et al., 2023). Considering the common metabolic defects shared by AD and T2DM, such as impaired glucose metabolism, insulin resistance, and mitochondrial dysfunction (
Vascular SMCs and pericytes also experience hyperpolarization and relaxation induced by the activation of BKCa channels by EETs from astrocytes (Kisler et al., 2017). In animal models of both type 1 diabetes mellitus (Liu, 2002;
Additionally, adenosine, a metabolic product of neural activity, acts on A2A and A2B adenosine receptors in vascular SMCs, leading to vasodilation by activating ATP-sensitive potassium (KATP) channels (Ottolini et al., 2019), which may also contribute to NVC. Diabetes-related oxidative stress can lead to s-glutathionylation of the Kir6.1 subunit of KATP channels, inhibiting channel activity and impairing vasodilation in renal, hepatic, and cardiac arterioles (Yang et al., 2011; Li et al., 2015). Whether such alterations exist in cerebral vasculature and their impact on NVC requires further experimental validation.
From potassium signals to vasodilation: Lastly, K+ signaling relies on voltage-gated Ca2+ channels (VGCCs) on vascular SMCs\perivascular cells to achieve vasodilation (Longden and Nelson, 2015). Studies have indicated that T1DM may impair the function of VGCCs in afferent arterioles of the rat renal glomerulus (
In summary, diabetes can damage NVC by impairing potassium ion channels on the vascular wall, including Kir2.1 (Vetri et al., 2017), BKCa (Wang et al., 2010; Torabi et al., 2021), and downregulating gap junction proteins in perivascular cells (Figure 2). Other crucial structures, such as BKCa channels on astrocyte end-feet, endothelial gap junctions, and VGCCs on vascular SMCs/perivascular cells, remain unknown in terms of diabetes-related changes. It is important to note that most studies have not validated the impact of corresponding alterations on NVC. The influence of a hyperglycemic environment on the nervous system and cerebral circulation is often systemic, and given that NVC involves concurrent signaling through known and unknown pathways, the contribution of a single signal loss to neurovascular decoupling is yet to be determined.
FIGURE 2

Potassium channel and diabetes-related changes. Hyperglycemia can damage NVC by damaging potassium ion channels in the blood vessel wall, including Kir2.1, and BKCa, and down-regulating the gap junction (GJ) protein of pericellular cells. The red arrows represent diabetes-related changes.
4.4 Impaired NO pathway
Excitatory neurotransmitter glutamate, through binding to N-methyl-D-aspartate (NMDA) receptors on the cell membrane increases intracellular calcium ion influx. Calcium-dependent enzymes such as nitric oxide synthase (NOS) are activated, leading to the synthesis of nitric oxide (NO) and inducing vasodilation (Iadecola, 2017; Figure 1). Since the role of NO in capillary dilation is still a matter of debate (Kisler et al., 2017), the neuronal NMDA receptor-mediated neuronal nitric oxide synthase (nNOS) pathway may primarily play a role in activity-induced arteriolar dilation. It has been found that hyperglycemia upregulates NMDA receptors in the hippocampus (Wang et al., 2019), but the effect of this change on NVC is still unknown.
In NVC, NO is not only produced through the neuronal nNOS pathway but also via the endothelial nitric oxide synthase (eNOS) pathway. ATP belongs to the purinergic receptor (P2Y) agonists in endothelial cells. When ATP is released from astrocytes in response to neuronal activation, it can trigger the production of NO in endothelial cells, leading to vasodilation (Toth et al., 2015a,b; Wells et al., 2015). Different vessels have specific physiological roles, and there are significant variations in purinergic regulatory mechanisms among different vessels (
A study employed NO microelectrodes and laser Doppler probes to simultaneously measure changes in NO and CBF in the hippocampus of Goto-Kakizaki(GK) rats (a diabetic rat model), revealing a reduction in the increase of NO following glutamate activation and impairment of NVC (Gonçalves et al., 2022). Another investigation utilized laser Doppler flowmetry to measure CBF in the somatosensory cortex of GK rats after whisker stimulation demonstrating that NVC impairment was accompanied by elevated reactive oxygen and nitrogen species (RONS), nitrotyrosine, and peroxynitrite (a product of the reaction between oxygen free radicals and NO) in both plasma and cerebral arteries (Kelly-Cobbs et al., 2012). Similar NVC impairment was observed in the somatosensory cortex of healthy mice treated with NOS inhibitors (Tarantini et al., 2015), while supplementation of NO was found to alleviate NVC damage induced by prolonged hyperglycemia in zebrafish (
Endothelial nitric oxide synthase (eNOS) uncoupling and NVC impairment: The reduced synthesis of NO in diabetic patients is associated with a deficiency in tetrahydrobiopterin (BH4) (Wu and Meininger, 2009). BH4 serves as a cofactor for three isoforms of NOS (eNOS, nNOS, and inducible NOS), and its deficiency can lead to NOS uncoupling (
5 Hypoglycemia and impaired NVC
Early fMRI studies on healthy humans (
The energy synthesis of astrocytes themselves is crucial for supporting NVC and neurons. On one hand, ATP and its metabolites serve as important signaling molecules for intercellular communication among astrocytes and NVC (Robinson and Jackson, 2016). On the other hand, during periods of high neuronal activity, astrocytes can replenish the neurotransmitter pool in neurons (
6 Treatment
Antidiabetic medications, such as metformin (Secnik et al., 2021), sodium-dependent glucose co-transporter 2 inhibitors (SGLT2i) (Rizzo et al., 2022), dipeptidyl peptidase-4 inhibitors (DPP-4 inhibitors) (Ma et al., 2015), and glucagon-like peptide-1 receptor agonists (GLP-1RAs) (
7 Conclusion
In summary, the diabetic environment may impair NVU structure and NVC signal transduction, leading to cognitive decline (Figure 3). Research on therapeutic drugs targeting known mechanisms is still in the experimental stage. The intricate network of interacting factors contributing to NVC damage induced by diabetes requires further in-depth investigation. In addition to NVC, we also need to consider a relatively new model known as vascular-neuronal coupling (VNC), where changes in vascular tension can influence neuronal electrical activity (Kim et al., 2016). Diabetes is widely recognized as a risk factor for brain arteriolosclerosis (B-ASC) (
FIGURE 3

Neurovascular uncoupling in diabetes. The diagram represents the current knowledge of neurovascular decoupling associated with diabetes. TJ: tight junction; GJ: gap junction.
Statements
Author contributions
LF: Writing – original draft, Writing – review & editing. LG: Resources, Supervision, Writing – original draft, Writing – review & editing.
Funding
The authors declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the National Science Foundation of China (Project # 82270861 to LG), the Fundamental Research Funds for the Central Universities (Project # 2042020kf1079 to LG), and the Planned International Development Project of Wuhan University (Project # WHU-GJZDZX TS03 to LG).
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
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Summary
Keywords
diabetes, cognitive function, neurovascular coupling, functional imaging, treatment
Citation
Feng L and Gao L (2024) The role of neurovascular coupling dysfunction in cognitive decline of diabetes patients. Front. Neurosci. 18:1375908. doi: 10.3389/fnins.2024.1375908
Received
24 January 2024
Accepted
05 March 2024
Published
21 March 2024
Volume
18 - 2024
Edited by
Guodong Cao, University of Pittsburgh, United States
Reviewed by
Zhongfang Weng, University of Pittsburgh, United States
Nadezda Stepicheva, University of Pittsburgh, United States
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© 2024 Feng and Gao.
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*Correspondence: Ling Gao, ling.gao@whu.edu.cn
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