Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus

Huang, Yi and Wen, Peng ORCID: https://orcid.org/0000-0003-0939-9145 and Song, Bo and Li, Yan ORCID: https://orcid.org/0000-0002-4694-4926 (2022) Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus. Ultrasonics, 124:106724. pp. 1-11. ISSN 0041-624X


Abstract

Objective: Ultrasonic neuromodulation as a safe and non-invasive brain stimulation method that delivers a low-intensity, focused ultrasound to nervous system tissue in a targeted area of the brain. The objective of this study is to numerically investigate the ultrasound wave propagation and the energy distribution within the brain tissues using customized single element focused ultrasound transducers (SEFT), targeting the hippocampus. Methods: A high resolution detailed human head model with seven tissue types was constructed from magnetic resonance imaging (MRI). A full-wave finite-difference time-domain simulation platform, Sim4life, was then used to simulate a 3D non-linear ultrasound wave equation to the specific region of interest, the hippocampus. Three customized SEFT were used to test the effect of transducer positions, and another customized transducer was used to compare the sensitivity effect on heterogeneous and homogeneous brain models. Finally, the sensitivity and performance of low intensity focusing ultrasound stimulation were evaluated. Results: An optimized application of SEFT was customized to deliver 100 W/m2 intensity of energy deposition at the hippocampus region. About 85.65% of the generated volume beam was delivered to the targeted hippocampus region and the beam overlap parameter was affected by different transducer positions. Deflection angle changes of SEFT at the range of ± 5% did not have a significant effect on energy delivery and position displacement. Only 0.5% of peak pressure change was observed between heterogeneous and homogeneous brain models. The sensitivity analysis also showed that the sound speed is the most influential acoustic parameter. Significance: This study demonstrated that ultrasound neuromodulation targeting the depth brain tissue of the hippocampus could be a potential and promising alternative method to some non-acoustic brain stimulation modalities. In the numerical study of ultrasound brain stimulations, ultrasound parameters and the brain model need to be properly determined to simulate the ultrasonic neuromodulations.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Mathematics, Physics and Computing (1 Jan 2022 -)
Date Deposited: 04 Apr 2022 23:02
Last Modified: 04 Apr 2022 23:02
Uncontrolled Keywords: Deep Brain Stimulation; Neuromodulation; Single-element Focused Ultrasound (SEFT); Ultrasound Numerical Simulation
Fields of Research (2020): 32 BIOMEDICAL AND CLINICAL SCIENCES > 3209 Neurosciences > 320904 Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)
42 HEALTH SCIENCES > 4299 Other health sciences > 429999 Other health sciences not elsewhere classified
40 ENGINEERING > 4003 Biomedical engineering > 400303 Biomechanical engineering
Identification Number or DOI: https://doi.org/10.1016/j.ultras.2022.106724
URI: http://eprints.usq.edu.au/id/eprint/47491

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