A Tractography Analysis for Electroconvulsive Therapy

Stefanie Riel, Mohammad Bashiri, Werner Hemmert, Siwei Bai

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Computational human head models have been used in electrophysiological studies, and they have been able to provide useful information that is unable or difficult to acquire from experimental or imaging studies. However, most of these models are purely volume conductor models that overlooked the electric excitability of axons in the white matter of the brain. This study combined a finite element (FE) model of electroconvulsive therapy (ECT) with a whole-brain tractography analysis as well as the cable theory of neuronal excitation. We have reconstructed a whole-brain tractogram with 500 neural fibres from the diffusion-weighted magnetic resonance scans, and extracted the information on electrical potential from the FE ECT model of the same head. We then calculated the first and second spatial derivatives of the electrical potential, which describes the activating function for homogenous axons and investigated sensitive regions of white matter activation.

OriginalspracheEnglisch
Titel40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten6133-6136
Seitenumfang4
ISBN (elektronisch)9781538636466
DOIs
PublikationsstatusVeröffentlicht - 26 Okt. 2018
Veranstaltung40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, USA/Vereinigte Staaten
Dauer: 18 Juli 201821 Juli 2018

Publikationsreihe

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Band2018-July
ISSN (Print)1557-170X

Konferenz

Konferenz40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Land/GebietUSA/Vereinigte Staaten
OrtHonolulu
Zeitraum18/07/1821/07/18

Fingerprint

Untersuchen Sie die Forschungsthemen von „A Tractography Analysis for Electroconvulsive Therapy“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren