Determination of stimulation focality in heterogeneous head models during transcranial magnetic stimulation (TMS) Lee, Erik
dc.contributor.department Electrical and Computer Engineering 2018-02-17T00:11:24.000 2020-07-07T05:10:59Z 2020-07-07T05:10:59Z 2015-04-14
dc.description.abstract <p>Transcranial Magnetic Stimulation (TMS) is an increasingly popular tool used by both the academic and medical community to understand and treat the brain. TMS has the potential to help people with a wide range of diseases such as Parkinson’s, Alzheimer’s, and PTSD, while currently being used to treat people with chronic, drug-resistant depression. Through computer simulations, we are able to see the electric field that TMS induces in anatomically realistic human head models but there is no quantifying method to analyze this electric field in a way that relates to a specific patient undergoing TMS therapy. We propose a way to quantify the focality of the induced electric field in a heterogeneous head model during TMS by relating the surface area of the brain being stimulated to the total volume of the brain being stimulated. This figure would be obtained by conducting finite element analysis (FEA) simulations of TMS therapy on a patient specific head model. Using this figure of merit to assist in TMS therapy will allow clinicians and researchers to more accurately stimulate the desired region of a patient’s brain and be more equipped to do comparative studies on the effects of TMS across different patients.</p>
dc.identifier archive/
dc.identifier.articleid 1101
dc.identifier.contextkey 7558421
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath undergradresearch_symposium/2015/presentations/13
dc.source.bitstream archive/|||Fri Jan 14 19:38:17 UTC 2022
dc.subject.disciplines Biomedical
dc.title Determination of stimulation focality in heterogeneous head models during transcranial magnetic stimulation (TMS)
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff Electrical Engineering
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