Numerical and experimental evaluation of low-intensity transcranial focused ultrasound wave propagation using human skulls for brain neuromodulation.

dc.contributor.author

Chen, Mengyue

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Peng, Chang

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Wu, Huaiyu

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Huang, Chih-Chung

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Kim, Taewon

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Traylor, Zachary

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Muller, Marie

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Muller, Marie

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Chhatbar, Pratik Y

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Nam, Chang S

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Feng, Wuwei

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Jiang, Xiaoning

dc.date.accessioned

2026-02-01T15:32:31Z

dc.date.available

2026-02-01T15:32:31Z

dc.date.issued

2023-01

dc.description.abstract

Background

Low-intensity transcranial focused ultrasound (tFUS) has gained considerable attention as a promising noninvasive neuromodulatory technique for human brains. However, the complex morphology of the skull hinders scholars from precisely predicting the acoustic energy transmitted and the region of the brain impacted during the sonication. This is due to the fact that different ultrasound frequencies and skull morphology variations greatly affect wave propagation through the skull.

Purpose

Although the acoustic properties of human skull have been studied for tFUS applications, such as tumor ablation using a multielement phased array, there is no consensus about how to choose a single-element focused ultrasound (FUS) transducer with a suitable frequency for neuromodulation. There are interests in exploring the magnitude and dimension of tFUS beam through human parietal bone for modulating specific brain lobes. Herein, we aim to investigate the wave propagation of tFUS on human skulls to understand and address the concerns above.

Methods

Both experimental measurements and numerical modeling were conducted to investigate the transmission efficiency and beam pattern of tFUS on five human skulls (C3 and C4 regions) using single-element FUS transducers with six different frequencies (150-1500 kHz). The degassed skull was placed in a water tank, and a calibrated hydrophone was utilized to measure acoustic pressure past it. The cranial computed tomography scan data of each skull were obtained to derive a high-resolution acoustic model (grid point spacing: 0.25 mm) in simulations. Meanwhile, we modified the power-law exponent of acoustic attenuation coefficient to validate numerical modeling and enabled it to be served as a prediction tool, based on the experimental measurements.

Results

The transmission efficiency and -6 dB beamwidth were evaluated and compared for various frequencies. An exponential decrease in transmission efficiency and a logarithmic decrease of -6 dB beamwidth with an increase in ultrasound frequency were observed. It is found that a >750 kHz ultrasound leads to a relatively lower tFUS transmission efficiency (<5%), whereas a <350 kHz ultrasound contributes to a relatively broader beamwidth (>5 mm). Based on these observations, we further analyzed the dependence of tFUS wave propagation on FUS transducer aperture size.

Conclusions

We successfully studied tFUS wave propagation through human skulls at different frequencies experimentally and numerically. The findings have important implications to predict tFUS wave propagation for ultrasound neuromodulation in clinical applications, and guide researchers to develop advanced ultrasound transducers as neural interfaces.
dc.identifier.issn

0094-2405

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2473-4209

dc.identifier.uri

https://hdl.handle.net/10161/34013

dc.language

eng

dc.publisher

Wiley

dc.relation.ispartof

Medical physics

dc.relation.isversionof

10.1002/mp.16090

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Head

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Skull

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Brain

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Humans

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Ultrasonography

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Transducers

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Ultrasonic Waves

dc.title

Numerical and experimental evaluation of low-intensity transcranial focused ultrasound wave propagation using human skulls for brain neuromodulation.

dc.type

Journal article

duke.contributor.orcid

Chhatbar, Pratik Y|0000-0001-6436-8427

duke.contributor.orcid

Feng, Wuwei|0000-0001-6230-4905

pubs.begin-page

38

pubs.end-page

49

pubs.issue

1

pubs.organisational-group

Duke

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Pratt School of Engineering

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School of Medicine

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Clinical Science Departments

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Biomedical Engineering

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University Institutes and Centers

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Duke Institute for Brain Sciences

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Neurology

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Neurology, Stroke and Vascular Neurology

pubs.publication-status

Published

pubs.volume

50

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