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Published September 4, 2022 | Submitted
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A model-free Data-Driven paradigm for in situ patient-specific prediction of human brain response to ultrasound stimulation


We present a class of model-free Data-Driven solvers that effectively enable the utilization of in situ and in vivo imaging data directly in full-scale calculations of the mechanical response of the human brain to ultrasound stimulation, entirely bypassing the need for analytical modeling or regression of the data. We demonstrate the approach, including its ability to make detailed spatially-resolved patient-specific predictions of wave patterns, using public-domain MRI images, MRE data and commercially available solid-mechanics software.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This project was supported by U.S. National Institutes of Health Grant No. 1RF1MH117080. Data availability. The data that support the findings of this study are available within this article and references therein. The simulation protocols are also available from the corresponding author upon request. The authors have declared no competing interest.

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Submitted - 2022.09.01.506248v3.full.pdf


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August 20, 2023
October 18, 2023