Abstract
Transcranial focused ultrasound enables precise and non-invasive manipulations of deep brain circuits in humans, promising to provide safe and effective treatments of various neurological and mental health conditions. Ultrasound focused to deep brain targets can be used to modulate neural activity directly or localize the release of psychoactive drugs. However, these applications have been impeded by a key barrier—the human skull, which attenuates ultrasound strongly and unpredictably. To address this issue, we have developed an ultrasound-based approach that directly measures and compensates for the ultrasound attenuation by the skull. No additional skull imaging, simulations, assumptions, or free parameters are necessary; the method measures the attenuation directly by emitting a pulse of ultrasound from an array on one side of the head and measuring with an array on the opposite side. Here, we apply this emerging method to two primary future uses—neuromodulation and local drug release. Specifically, we show that the correction enables effective stimulation of peripheral nerves and effective release of propofol from nanoparticle carriers through an ex vivo human skull. Neither application was effective without the correction. Moreover, the effects show the expected dose-response relationship and targeting specificity. This article highlights the need for precise control of ultrasound intensity within the skull and provides a direct and practical approach for addressing this lingering barrier.
1 Introduction
One in three patients with a neurological or mental disorder does not respond to drugs or other forms of treatment (Ferguson, ; Karceski, ; Louis et al., ; Al-Harbi, ; Jaffe et al., ). Neuromodulation provides these treatment-resistant patients with new treatment options, promising to treat brain disorders at their neural sources in deep brain limbic, thalamic, or basal ganglia circuits (Kuhn et al., ; Price and Drevets, ; Larson, ; Widge and Dougherty, 2015; Elias et al., ; Dandekar et al., ). Unfortunately, current neuromodulation approaches have significant limitations, which make them applicable only to certain indications and patients. In particular, invasive approaches such as deep brain stimulation suffer from a high risk-benefit ratio, which has limited their applications to movement disorders (Larson, ). On the other hand, the more flexible, non-invasive neuromodulation approaches currently do not have the necessary spatial specificity in the affected deep brain regions. For instance, electroconvulsive therapy induces brain-wide seizures (Lisanby, ), which often lead to cognitive side effects such as memory loss (Ingram et al., ). Transcranial magnetic stimulation (TMS) primarily modulates cortical regions of the brain, which limits its ability to act deep in the brain and contributes to variable response (Nicolo et al., ). These limitations leave millions of patients inadequately treated.
Low-intensity transcranial focused ultrasound enables neuromodulation that combines non-invasiveness with sharp focus at depth. Ultrasound can be focused through the intact skull and scalp into circumscribed deep brain regions [e.g., about 3–5 mm focal diameter when applied through the human skull (Ghanouni et al., ; Harary et al., ; Riis et al., )]. The unique combination of precise focusing and non-invasiveness provides the ability to modulate specific deep brain networks directly, selectively, and flexibly. Two emerging approaches based on low-intensity ultrasound have a high potential for providing effective and safe modulation of deep brain circuits.
One, the mechanical effects associated with the ultrasonic pressure wave can be harnessed to impact drug-loaded nanoparticle carriers (Airan et al., ; Wang et al., 2018; Lea-Banks et al., ). This way, the drug is released only at the desired ultrasound focus and does not affect other neural circuits or organs. This eliminates the side effects associated with systemic drug administrations. This method has the potential to locally deliver psychoactive drugs that naturally pass through the blood-brain barrier.
Two, the mechanical effects associated with the ultrasonic pressure wave modulate the activity of neurons and ion channels specifically at the ultrasound target, thus providing spatially-specific neuromodulation. These effects modulate neural activity or local connectivity, depending on the stimulus duration (Naor et al., ; Kubanek, ; Tyler et al., 2018; Blackmore et al., ). Brief stimuli, on the order of a second or less, induce transient changes in neural activity (Kubanek et al., ; Riis and Kubanek, ). For example, brief, 300 ms pulses of ultrasound delivered into specific brain regions induce trial-by-trial changes in choice behavior of non-human primates (Kubanek et al., ; Webb et al., 2022). Longer, 30 s exposures led to more sustained effects (Webb et al., 2023) without detrimental consequences. Such sustained effects can also manifest in durable changes in functional connectivity (Fouragnan et al., ; Verhagen et al., 2019; Khalighinejad et al., ). Mechanistically, ultrasound mechanically activates ion channels (Kubanek et al., , ; Prieto et al., ; Oh et al., ; Yoo et al., 2022). The sustained effects are, at least in part, due to activation of the supporting glial cells (Nanou and Catterall, ; Oh et al., ).
Nonetheless, both approaches have thus far shown limited effectiveness in large animals and humans. The ultrasound-based targeted drug release from nanoparticle carriers has not yet been performed in large animals or humans. In addition, ultrasonic neuromodulation in humans (Legon et al., ; Lee et al., ; Ai et al., ; Badran et al., ; Fomenko et al., ) has been much less effective and robust compared with studies in rodents (Tufail et al., 2010; Ye et al., 2016; Lee et al., ).
The limitations lie primarily in the thick and acoustically complex human skull (Fry and Barger, ; White et al., 2006; Webb et al., 2018; Riis et al., 2021) (Figure 1). The intensity of neuromodulatory ultrasound is attenuated by the skull by a factor of 4.5–64, depending on skull segment and individual (Riis et al., 2021). This large variability in the attenuation factor makes it difficult to provide a confident estimate on the delivered intensity.
Figure 1
To address this issue, we have previously developed a new approach that measures the ultrasound attenuation and dephasing by the head using ultrasound (Riis et al.,
2 Results
2.1 Controlled drug release through the human skull
First, we tested whether the ultrasound-based method, referred to as relative through-transmit [RTT, (Riis et al.,
Figure 2

Ultrasound correction for the skull using RTT enables effective and dose-dependent local drug release. (A) RTT enables effective drug release from nanoparticle carriers. Safe, biocompatible nanoparticle carriers (Wilson et al., 2024) encapsulated the neuromodulatory drug propofol. The nanoparticles release their drug load when impacted by low to medium intensity ultrasound. Vials with the nanoparticles were positioned within a central location of an ex-vivo skull. Ultrasound, delivered through the skull, impacted the nanoparticles in 100 ms pulses delivered every 1 s for 60 s, at a frequency of 650 kHz and pressure amplitude of 1.8 MPa. The data were collected under the hypothetical ideal correction for the skull (black), without any correction (red), and after applying RTT (green). A sham condition delivered the stimulus 10 mm below the vial (yellow) after using the hydrophone correction for the skull. A second sham condition placed the vial at target but delivered no ultrasound (purple). The dotted line represents the baseline when no ultrasound is applied. The baseline can be non-zero due to free (unencapsulated) drug or due to the nanoparticles being partially leaky (Wilson et al., 2024). The individual conditions were randomly interleaved. The bars comprise n = 10 distinct samples, with the exception of the No Ultrasound case, which used n = 6. The error bars represent the s.e.m. (B) Dose-response relationship. The LOW, MEDIUM, and HIGH labels correspond to an intended peak pressure of 1.2, 1.5, and 1.8 MPa, as measured in free-field. All datapoints comprised n = 10 distinct samples. The error bars represent the s.e.m.
We confirmed the spatial specificity of the release using an active sham condition in which ultrasound was delivered with the ideal hydrophone correction 10 mm below each vial (Figure 2A, yellow bar). In this case, the amount of detected drug was no different (t14 = 0.30, p = 0.77) from the case in which no ultrasound was applied (purple).
We investigated the dose dependence of the release. Specifically, we varied the stimulation across three intensity levels, all within the FDA 510 (k) Track 3 guidelines (FDA,
2.2 Controlled nerve stimulation through the human skull
We further tested the ability of the method to provide effective neuromodulation. We specifically focused on responses of peripheral nerves within the human thumb, which we have characterized in free field (Riis and Kubanek,
Figure 3

Ultrasound correction for the skull using RTT enables effective ultrasonic stimulation through the skull. (A) RTT enables effective modulation of peripheral nerves through skull. The arrays targeted nerves in the thumb of 11 participants. The thumb was secured in the central target inside an ex-vivo skull. The arrays delivered into the target a 300 ms stimulus at a frequency of 650 kHz and pressure amplitude of 1.8 MPa. The data were collected with the ideal correction (black), without any correction (red), and after applying RTT (green). A sham condition delivered the stimulus, with hydrophone correction, 10 mm below the finger (yellow). The individual conditions were presented randomly every 8–12 s, for a total of 10 repetitions. Subjects reported any nociceptive response, which indicates stimulation of nerves and nerve endings. Response frequency represents the proportion of trials in which subjects reported a nociceptive response. (B) Dose-response relationship of the stimulation. There was a significant modulation by the ultrasound pressure but no significant difference in the responses following the ideal (black) and RTT (green) corrections (see text for details). The LOW, MEDIUM, and HIGH labels correspond to an intended peak pressure of 1.3, 1.55, and 1.8 MPa, as measured in free-field. The error bars represent the s.e.m.
To investigate the effect of intensity on the stimulation effect, we varied the delivered ultrasound intensity across the same levels as in Figure 2. We found an increase in stimulation effectiveness with increasing level of the ultrasound (Figure 3B). The response frequency reached 62.7% for the strongest (1.8 MPa) stimulus, and was significant also for the weakest stimulus tested (1.3 MPa; t10 = 7.63, p = 1.7 × 10−5, one-sample two-tailed t-test). The effect of the stimulation level was highly significant (two-way ANOVA, F2, 60 = 25.24, p = 1.1 × 10−8). The responses were statistically indistinguishable from the hypothetical ideal correction (green vs. black; two-way ANOVA, F1, 60 = 0.41, p = 0.52), and there was no significant interaction between the two factors (F2, 60 = 0.20, p = 0.98). We further evaluated the data separately for each subject (Figure 4). The figure leads to the same general conclusions, suggesting that the results were not due to an averaging artifact. There were no detrimental effects reported by the subjects during or following the stimulation. Together, these data (1) showed that the ultrasound correction for the head using RTT is critical for effective transcranial stimulation of nerves, (2) suggested a range of ultrasound pressures necessary for nerve stimulation, and (3) validated the biological safety of the stimulation.
Figure 4

Nerve stimulation in each subject. Response rates for the ideal (black) and RTT (green) correction for each individual subject. When no correction was applied, there was no significant ultrasonic nerve stimulation (red; t11 = 1.00, p = 0.34, one-sample t-test) and only subject 9 responded.
3 Discussion
In this study, we have demonstrated the major impact of the skull on the effectiveness of ultrasound-based inteventions. We have developed a direct and practical method that measures and compensates for the skull. The compensation restores the desired drug release and neuromodulation effects at the ultrasound target. The method is practical in that it is performed in seconds, and does not require skull scans, simulations, or parameters.
Specifically, with no correction for the skull, drug release from ultrasound-responsive nanoparticles was no different from the release without ultrasound (t14 = 0.30, p = 0.77) and stimulation of nerves in fingers elicited no significant response subjects (t11 = 1.00, p = 0.34). In contrast, the relative through transmit approach was able to restore rates of drug release and finger stimulation with no detectable difference from a perfect correction obtained from hydrophone measurements (F1, 54 = 0.02, p = 0.89; F1, 60 = 0.41, p = 0.52; respectively).
While ultrasound-triggered drug release has been demonstrated in rodents (Airan et al.,
Depending on the drug encapsulated in the nanoparticles, this approach may be applied for a variety of applications. Releasing propofol, as described here, could be useful as a tool to probe the function or diagnose dysfunction in the brain by transiently suppressing specific areas. Indeed, this approach has been used to suppress seizure activity in rodents (Airan et al.,
Transcranial focused ultrasound has tremendous potential to non-invasively modulate neural activity in the brain. Its effects have been attributed to a variety of mechanisms such as direct ion channel activation, effects on cell membranes, or heating of tissue (Kubanek et al.,
Besides therapies, ultrasonic neuromodulation has the potential to serve a guidance tool. For instance, deep brain stimulation (DBS), which implants electrodes into tissues, has shown promise for treatments of a variety of mental and neurological disorders (Drobisz and Damborská,
This article has certain limitations. First, to accurately control the dose of a drug released at the target, it will be necessary to quantify the amount of nanodroplets remaining in the blood stream in addition to the amount of drug released from nanoparticles—a factor which is not accounted for here. Such an approach may utilize the enhanced echogenicity of perfluorocarbon-based drug carriers (Rapoport et al.,
This work highlights the need to compensate for the human skull and provides evidence for the feasibility of effective ultrasound-based interventions through the human skull. We have presented a practical, imaging- and parameter-free method that measures and compensates for the skull, thus providing intended level of drug release and intended magnitude of neuromodulation. Addressing this key barrier provides the critical step toward using transcranial ultrasound for precision, circuit-oriented treatments of mental and neurological disorders.
4 Materials and methods
4.1 Ultrasonic hardware
The ultrasound hardware system used two spherically focused arrays described in detail in previous publications (Riis et al.,
4.2 Skulls
One ex-vivo human skull was used in this study. The skull was obtained from Skulls Unlimited (Oklahoma City, OK). The supplier provides ex-vivo specimens specifically for research under a research agreement. A large opening was made at the bottom of the skull to enable field measurements inside the skull. Each skull was degassed overnight in deionized water (Fry and Barger,
4.3 Targeting and skull correction methods
The targeting and skull correction methods used here are the same as described previously (Riis et al.,
Figure 5

Experimental setup. A Hydrophone field scans in a degassed water tank were used for targeting and the ideal hydrophone correction. B A 1.5 mL microcentrifuge tube containing propofol-loaded nanoparticles was placed at the ultrasonic focus to assess drug release with different skull correction methods. Drug release into the hydrophobic sink, hexane, placed on top of the nanoparticle solution was measured after sonication. The tubes were mounted in the same location repeatedly with a custom 3-D printed part. C Subjects placed a thumb at the ultrasonic focus to assess nerve stimulation with different correction methods. The subjects responded verbally any time they perceived the ultrasound stimulation. A custom 3-D printed positioner was used to guide finger placement.
Three methods of skull correction were compared in this study: the RTT correction, a hydrophone-based correction, and no correction. With no correction, the free-field (no skull) measurements were used. The hydrophone correction represents a ground-truth correction and is calculated by comparing hydrophone measurements with and without the skull. Specifically, the hydrophone is used to measure the relative speedup and the relative reduction in amplitude due to the presence of the skull. Finally, our RTT correction was calculated by measuring the response from each element of one side of the transducer from each element on the opposing transducer. This enables a direct measurement of phase shift and attenuation caused by the skull for each element. Details and schematics regarding this method can be found in a previous publication (Riis et al.,
4.4 Local drug release
We manufactured ultrasound-sensitive nanoparticles according to previous approaches (Rapoport,
Freshly prepared nanoparticle emulsions were introduced into vials of 8 mm in diameter (1.5 ml polypropylene microcentrifuge tubes, Globe Scientific) at a volume of 0.2 ml, reaching a height of 7 mm. The acoustic impedance of polypropylene (2.4 MRayl) is close to that of water (1.5 MRayl), resulting in only about 5.3% of the incident energy being reflected (Curry et al.,
4.5 Nerve stimulation
Eleven subjects participated in the stimulation (three females, eight males, aged between 21 and 39 years). The study was approved by the Institutional Review Board of the University of Utah (Protocol #00130036). All subjects provided informed consent. No subject was excluded. Subjects placed their thumb into the central location of an ex-vivo skull as shown in Figure 5C. A 3D-printed positioner held the subjects' thumb in place. The positioner consisted of a rectangular slot 24 mm wide with a 3 mm semicircular groove that constrained the thumbs lateral, axial, and elevational movement to within 3 mm in each direction. The stimulation was performed inside an ultrasound tank filled with continuously degassed water (AIMS III system with AQUAS-10 Water Conditioner, Onda). Since the ultrasound driving electronics emitted sound and light when stimulating, subjects wore noise-canceling earmuffs (X4A, 3M; noise reduction rating of 27 dB) and had their eyes closed. Subjects could not hear or see a scheduled stimulus.
Each subject experienced eight distinct stimuli, presented randomly. The ultrasound stimuli were 300 ms in duration. There were three different correction methods—hydrophone correction, no correction, and RTT correction (see above)—and a sham condition. In the sham condition, which was specifically presented for the ideal, hydrophone correction, the ultrasound was programmatically steered 10 mm below the target. For hydrophone- and RTT-corrected stimuli, we varied the intended peak pressure levels across 1.3, 1.55, and 1.8 MPa. The results shown in Figure 3A were only at the highest pressure level: 1.8 MPa in free-field, 1.84 MPa with hydrophone correction, 0.73 MPa with no correction, and 1.95 MPa with the RTT correction. We performed 10 repetitions of each stimuli producing a total of 80 trials per subject. The stimuli were delivered every 8–12 s and randomized so that subjects could not anticipate their onset or type. The subjects were instructed to report a percept with a verbal command (Pain, Vibration, or Tap). A blinded experimenter recorded the percept associated with each stimulus. The response frequency was computed as the proportion of trials in which a nociceptive response was registered.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by University of Utah Institutional Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
MW: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. TR: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. JK: Conceptualization, Funding acquisition, Resources, Supervision, Visualization, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the NIH grants R00NS100986, RF1NS128569, and the University of Utah College of Engineering seed grant.
Acknowledgments
We thank Drs. Richard Rabbitt, Douglas Christensen, and Dennis Parker for helpful comments.
Conflict of interest
JK is an inventor on a patent related to the device function, and an inventor on a patent that characterizes the production of the nanoparticles.
The remaining 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
1
AiL.BansalP.MuellerJ. K.LegonW. (2018). Effects of transcranial focused ultrasound on human primary motor cortex using 7T fMRI: a pilot study. BMC Neurosci. 19, 1–10. 10.1186/s12868-018-0456-6
2
AiranR. D.MeyerR. A.EllensN. P.RhodesK. R.FarahaniK.PomperM. G.et al. (2017). Noninvasive targeted transcranial neuromodulation via focused ultrasound gated drug release from nanoemulsions. Nano Lett. 17, 652–659. 10.1021/acs.nanolett.6b03517
3
Al-HarbiK. S. (2012). Treatment-resistant depression: therapeutic trends, challenges, and future directions. Patient Prefer. Adher. 6:369. 10.2147/PPA.S29716
4
BadranB. W.CaulfieldK. A.Stomberg-FiresteinS.SummersP. M.DowdleL. T.SavocaM.et al. (2020). Sonication of the anterior thalamus with mri-guided transcranial focused ultrasound (tFUS) alters pain thresholds in healthy adults: a double-blind, sham-controlled study. Brain Stimul. 13, 1805–1812. 10.1016/j.brs.2020.10.007
5
BlackmoreJ.ShrivastavaS.SalletJ.ButlerC. R.ClevelandR. O. (2019). Ultrasound neuromodulation: a review of results, mechanisms and safety. Ultrasound Med. Biol. 45, 1509–1536. 10.1016/j.ultrasmedbio.2018.12.015
6
CurryT.DowdeyJ.MurryR. (1990). Christensen's Physics of Diagnostic Radiology. Philadelphia, PA: Lippincott Williams & Wilkins; Lea and Febiger.
7
DandekarM.FenoyA.CarvalhoA.SoaresJ.QuevedoJ. (2018). Deep brain stimulation for treatment-resistant depression: an integrative review of preclinical and clinical findings and translational implications. Mol. Psychiatry23, 1094–1112. 10.1038/mp.2018.2
8
DarmaniG.BergmannT.PaulyK. B.CaskeyC.De LeceaL.FomenkoA.et al. (2022). Non-invasive transcranial ultrasound stimulation for neuromodulation. Clin. Neurophysiol. 135, 51–73. 10.1016/j.clinph.2021.12.010
9
DarrowD. P.O'BrienP.RichnerT. J.NetoffT. I.EbbiniE. S. (2019). Reversible neuroinhibition by focused ultrasound is mediated by a thermal mechanism. Brain Stimul. 12, 1439–1447. 10.1016/j.brs.2019.07.015
10
DrobiszD.DamborskáA. (2019). Deep brain stimulation targets for treating depression. Behav. Brain Res. 359, 266–273. 10.1016/j.bbr.2018.11.004
11
EliasW. J.LipsmanN.OndoW. G.GhanouniP.KimY. G.LeeW.et al. (2016). A randomized trial of focused ultrasound thalamotomy for essential tremor. N. Engl. J. Med. 375, 730–739. 10.1056/NEJMoa1600159
12
FDA (2019). Marketing Clearance of Diagnostic Ultrasound Systems and Transducers. Rockville, MD: Food and Drug Administration, FDA-2017-D-5372; Center for Devices and Radiological Health.
13
FergusonJ. M. (2001). SSRI antidepressant medications: adverse effects and tolerability. Prim. Care Comp. J. Clin. Psychiatry3:22. 10.4088/PCC.v03n0105
14
FomenkoA.ChenK.-H. S.NankooJ.-F.SaravanamuttuJ.WangY.El-BabaM.et al. (2020). Systematic examination of low-intensity ultrasound parameters on human motor cortex excitability and behavior. Elife9:e54497. 10.7554/eLife.54497
15
FouragnanE. F.ChauB. K.FolloniD.KollingN.VerhagenL.Klein-FlüggeM.et al. (2019). The macaque anterior cingulate cortex translates counterfactual choice value into actual behavioral change. Nat. Neurosci. 22, 797–808. 10.1038/s41593-019-0375-6
16
FryF. J.BargerJ. E. (1978). Acoustical properties of the human skull. J. Acoust. Soc. Am. 63, 1576–1590. 10.1121/1.381852
17
GavrilovL. (2016). Focused ultrasound stimulation of the peripheral nervous system: physical basis and practical applications. Int. J. Mod. Phys. Adv. Theory Appl. 1, 45–118.
18
GavrilovL. R.GersuniG. V.IlyinskiO. B.TsirulnikovE. M.ShchekanovE. E. (1977). A study of reception with the use of focused ultrasound. I. Effects on the skin and deep receptor structures in man. Brain Res. 135, 265–277. 10.1016/0006-8993(77)91030-7
19
GhanouniP.PaulyK. B.EliasW. J.HendersonJ.SheehanJ.MonteithS.et al. (2015). Transcranial MRI-guided focused ultrasound: a review of the technologic and neurologic applications. Am. J. Roentgenol. 205, 150–159. 10.2214/AJR.14.13632
20
GouldA.GonzalesV. A. A.DmelloC. C.SagantyR.LukasR. V.ZhangD. Y.et al. (2023). Advances in blood-brain barrier disruption to facilitate drug delivery for infiltrative gliomas. Adv. Oncol. 3, 77–86. 10.1016/j.yao.2023.01.017
21
HararyM.EssayedW. I.ValdesP. A.McDannoldN.CosgroveG. R. (2018). Volumetric analysis of magnetic resonance-guided focused ultrasound thalamotomy lesions. Neurosurg. Focus44:E6. 10.3171/2017.11.FOCUS17587
22
IdbaihA.CanneyM.BelinL.DesseauxC.VignotA.BouchouxG.et al. (2019). Safety and feasibility of repeated and transient blood-brain barrier disruption by pulsed ultrasound in patients with recurrent glioblastoma. Clin. Cancer Res. 25, 3793–3801. 10.1158/1078-0432.CCR-18-3643
23
IngramA.SalingM. M.SchweitzerI. (2008). Cognitive side effects of brief pulse electroconvulsive therapy: a review. J. ECT24, 3–9. 10.1097/YCT.0b013e31815ef24a
24
JaffeD. H.RiveB.DeneeT. R. (2019). The humanistic and economic burden of treatment-resistant depression in europe: a cross-sectional study. BMC Psychiatry19:247. 10.1186/s12888-019-2222-4
25
KarceskiS. C. (2007). Seizure medications and their side effects. Neurology69, E27–E29. 10.1212/01.wnl.0000296051.34044.07
26
KhalighinejadN.BongioanniA.VerhagenL.FolloniD.AttaliD.AubryJ.-F.et al. (2020). A basal forebrain-cingulate circuit in macaques decides it is time to act. Neuron105, 370–384. 10.1016/j.neuron.2019.10.030
27
KubanekJ. (2018). Neuromodulation with transcranial focused ultrasound. Neurosurg. Focus44:E14. 10.3171/2017.11.FOCUS17621
28
KubanekJ.BrownJ.YeP.PaulyK. B.MooreT.NewsomeW. (2020). Remote, brain region-specific control of choice behavior with ultrasonic waves. Sci. Adv. 6:eaaz4193. 10.1126/sciadv.aaz4193
29
KubanekJ.ShiJ.MarshJ.ChenD.DengC.CuiJ. (2016). Ultrasound modulates ion channel currents. Sci. Rep. 6:24170. 10.1038/srep24170
30
KubanekJ.ShuklaP.DasA.BaccusS. A.GoodmanM. B. (2018). Ultrasound elicits behavioral responses through mechanical effects on neurons and ion channels in a simple nervous system. J. Neurosci. 38, 3081–3091. 10.1523/JNEUROSCI.1458-17.2018
31
KuhnJ.GaebelW.KlosterkoetterJ.WoopenC. (2009). Deep brain stimulation as a new therapeutic approach in therapy-resistant mental disorders: ethical aspects of investigational treatment. Eur. Arch. Psychiatry Clin. Neurosci. 259, 135–141. 10.1007/s00406-009-0055-8
32
LarsonP. S. (2014). Deep brain stimulation for movement disorders. Neurotherapeutics11, 465–474. 10.1007/s13311-014-0274-1
33
Lea-BanksH.HynynenK. (2021). Sub-millimetre precision of drug delivery in the brain from ultrasound-triggered nanodroplets. J. Control. Release338, 731–741. 10.1016/j.jconrel.2021.09.014
34
Lea-BanksH.MengY.WuS.-K.BelhadjhamidaR.HamaniC.HynynenK. (2021). Ultrasound-sensitive nanodroplets achieve targeted neuromodulation. J. Control. Release332, 30–39. 10.1016/j.jconrel.2021.02.010
35
Lea-BanksH.O'ReillyM. A.HamaniC.HynynenK. (2020). Localized anesthesia of a specific brain region using ultrasound-responsive barbiturate nanodroplets. Theranostics10:2849. 10.7150/thno.41566
36
LeeW.CroceP.MargolinR. W.CammalleriA.YoonK.YooS.-S. (2018). Transcranial focused ultrasound stimulation of motor cortical areas in freely-moving awake rats. BMC Neurosci. 19, 1–14. 10.1186/s12868-018-0459-3
37
LeeW.KimH.-C.JungY.ChungY. A.SongI.-U.LeeJ.-H.et al. (2016). Transcranial focused ultrasound stimulation of human primary visual cortex. Sci. Rep. 6:34026. 10.1038/srep34026
38
LegonW.SatoT. F.OpitzA.MuellerJ.BarbourA.WilliamsA.et al. (2014). Transcranial focused ultrasound modulates the activity of primary somatosensory cortex in humans. Nat. Neurosci. 17, 322–329. 10.1038/nn.3620
39
LisanbyS. H. (2007). Electroconvulsive therapy for depression. N. Engl. J. Med. 357, 1939–1945. 10.1056/NEJMct075234
40
LouisE. D.RiosE.HenchcliffeC. (2010). How are we doing with the treatment of essential tremor (ET)? persistence of patients with et on medication: data from 528 patients in three settings. Eur. J. Neurol. 17, 882–884. 10.1111/j.1468-1331.2009.02926.x
41
MeimaniN.AbaniN.GelovaniJ.AvanakiM. R. (2017). A numerical analysis of a semi-dry coupling configuration in photoacoustic computed tomography for infant brain imaging. Photoacoustics7, 27–35. 10.1016/j.pacs.2017.06.001
42
NanouE.CatterallW. A. (2018). Calcium channels, synaptic plasticity, and neuropsychiatric disease. Neuron98, 466–481. 10.1016/j.neuron.2018.03.017
43
NaorO.KrupaS.ShohamS. (2016). Ultrasonic neuromodulation. J. Neural Eng. 13:031003. 10.1088/1741-2560/13/3/031003
44
NicoloP.PtakR.GuggisbergA. G. (2015). Variability of behavioural responses to transcranial magnetic stimulation: origins and predictors. Neuropsychologia74, 137–144. 10.1016/j.neuropsychologia.2015.01.033
45
OhS.-J.LeeJ. M.KimH.-B.LeeJ.HanS.BaeJ. Y.et al. (2019). Ultrasonic neuromodulation via astrocytic TRPA1. Curr. Biol. 29, 3386–3401. 10.1016/j.cub.2019.08.021
46
PlaksinM.KimmelE.ShohamS. (2016). Cell-type-selective effects of intramembrane cavitation as a unifying theoretical framework for ultrasonic neuromodulation. eNeuro 3:ENEURO-0136. 10.1523/ENEURO.0136-15.2016
47
PriceJ. L.DrevetsW. C. (2012). Neural circuits underlying the pathophysiology of mood disorders. Trends Cogn. Sci. 16, 61–71. 10.1016/j.tics.2011.12.011
48
PrietoM. L.FirouziK.Khuri-YakubB. T.MadukeM. (2018). Activation of piezo1 but not nav1. 2 channels by ultrasound at 43 mhz. Ultrasound Med. Biol. 44, 1217–1232. 10.1016/j.ultrasmedbio.2017.12.020
49
RapoportN. (2016). “Drug-loaded perfluorocarbon nanodroplets for ultrasound-mediated drug delivery,” in Therapeutic Ultrasound, eds. J.-M. Escoffre and A. Bouakaz (New York, NY: Springer), 221–241.
50
RapoportN.NamK.-H.GuptaR.GaoZ.MohanP.PayneA.et al. (2011). Ultrasound-mediated tumor imaging and nanotherapy using drug loaded, block copolymer stabilized perfluorocarbon nanoemulsions. J. Control. Release153, 4–15. 10.1016/j.jconrel.2011.01.022
51
RiisT.FeldmanD.LosserA.MickeyB.KubanekJ. (2023a). Device for multifocal delivery of ultrasound into deep brain regions in humans. IEEE Transact. Biomed. Eng. 71, 660–668. 10.1109/TBME.2023.3313987
52
RiisT.FeldmanD.MickeyB.KubanekJ. (2024a). Controlled noninvasive modulation of deep brain regions in humans. Commun. Eng. 3:13. 10.1038/s44172-023-00146-4
53
RiisT.KubanekJ. (2021). Effective ultrasonic stimulation in human peripheral nervous system. IEEE Transact. Biomed. Eng. 69, 15–22. 10.1101/2021.04.22.440931
54
RiisT.MorettiP.LosserA.KassavetisP.KubanekJ. (2024b). Noninvasive modulation of essential tremor with focused ultrasonic waves. J. Neural Eng. 21, 1–9. 10.1088/1741-2552/ad27ef
55
RiisT. S.FeldmanD. A.VoneshL. C.BrownJ. R.SolzbacherD.KubanekJ.et al. (2023b). Durable effects of deep brain ultrasonic neuromodulation on major depression: a case report. J. Med. Case Rep. 17:449. 10.1186/s13256-023-04194-4
56
RiisT. S.WebbT. D.KubanekJ. (2021). Acoustic properties across the human skull. Ultrasonics119:106591. 10.1016/j.ultras.2021.106591
57
SmollN. R.SchallerK.GautschiO. P. (2013). Long-term survival of patients with glioblastoma multiforme (GBM). J. Clin. Neurosci. 20, 670–675. 10.1016/j.jocn.2012.05.040
58
TufailY.MatyushovA.BaldwinN.TauchmannM. L.GeorgesJ.YoshihiroA.et al. (2010). Transcranial pulsed ultrasound stimulates intact brain circuits. Neuron66, 681–694. 10.1016/j.neuron.2010.05.008
59
TylerW. J.LaniS. W.HwangG. M. (2018). Ultrasonic modulation of neural circuit activity. Curr. Opin. Neurobiol. 50, 222–231. 10.1016/j.conb.2018.04.011
60
VargasM. V.MeyerR.AvanesA. A.RusM.OlsonD. E. (2021). Psychedelics and other psychoplastogens for treating mental illness. Front. Psychiatry12:727117. 10.3389/fpsyt.2021.727117
61
VerhagenL.GalleaC.FolloniD.ConstansC.JensenD. E.AhnineH.et al. (2019). Offline impact of transcranial focused ultrasound on cortical activation in primates. Elife8:e40541. 10.7554/eLife.40541
62
WangJ. B.AryalM.ZhongQ.VyasD. B.AiranR. D. (2018). Noninvasive ultrasonic drug uncaging maps whole-brain functional networks. Neuron100, 728–738. 10.1016/j.neuron.2018.10.042
63
WebbT. D.LeungS. A.RosenbergJ.GhanouniP.DahlJ. J.PelcN. J.et al. (2018). Measurements of the relationship between ct hounsfield units and acoustic velocity and how it changes with photon energy and reconstruction method. IEEE Trans. Ultrason. Ferroelectr. Freq. Control65, 1111–1124. 10.1109/TUFFC.2018.2827899
64
WebbT. D.WilsonM. G.OdéenH.KubanekJ. (2022). Remus: system for remote deep brain interventions. Iscience25:105251. 10.1016/j.isci.2022.105251
65
WebbT. D.WilsonM. G.OdéenH.KubanekJ. (2023). Sustained modulation of primate deep brain circuits with focused ultrasonic waves. Brain Stimul. 16, 798–805. 10.1016/j.brs.2023.04.012
66
WhiteP. J.ClementG. T.HynynenK. (2006). Longitudinal and shear mode ultrasound propagation in human skull bone. Ultrasound Med. Biol. 32, 1085–1096. 10.1016/j.ultrasmedbio.2006.03.015
67
WidgeA. S.DoughertyD. D. (2015). Deep brain stimulation for treatment-refractory mood and obsessive-compulsive disorders. Curr. Behav. Neurosci. Rep. 2, 187–197. 10.1007/s40473-015-0049-y
68
WilsonM. G.ParikhA.DaraA.BeaverA. S.KubanekJ. (2024). Targeted drug release from stable and safe ultrasound-sensitive nanocarriers. Front. Mol. Biosci.11:1408767. 10.3389/fmolb.2024.1408767
69
YeP. P.BrownJ. R.PaulyK. B. (2016). Frequency dependence of ultrasound neurostimulation in the mouse brain. Ultrasound Med. Biol. 42, 1512–1530. 10.1016/j.ultrasmedbio.2016.02.012
70
YooS.MittelsteinD. R.HurtR.LacroixJ.ShapiroM. G. (2022). Focused ultrasound excites neurons via mechanosensitive calcium accumulation and ion channel amplification. Nat. Commun. 13:493. 10.1038/s41467-022-28040-1
71
ZhongQ.YoonB. C.AryalM.WangJ. B.IlovitshT.BaikoghliM.et al. (2019). Polymeric perfluorocarbon nanoemulsions are ultrasound-activated wireless drug infusion catheters. Biomaterials206, 73–86. 10.1016/j.biomaterials.2019.03.021
Summary
Keywords
transcranial focused ultrasound, drug release, neuromodulation, skull, correction, compensation, deterministic, intensity
Citation
Wilson MG, Riis TS and Kubanek J (2024) Controlled ultrasonic interventions through the human skull. Front. Hum. Neurosci. 18:1412921. doi: 10.3389/fnhum.2024.1412921
Received
08 April 2024
Accepted
03 June 2024
Published
24 June 2024
Volume
18 - 2024
Edited by
Vincent Clark, University of New Mexico, United States
Reviewed by
Kai Yu, Carnegie Mellon University, United States
Mengyue Chen, North Carolina State University, United States
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Copyright
© 2024 Wilson, Riis and Kubanek.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Matthew G. Wilson Matt.G.Wilson@utah.eduThomas S. Riis tom.riis@utah.edu
†These authors have contributed equally to this work and share first authorship
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