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© 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Objective: Evaluation of brain white matter fibers connectivity damage in stroke and traumatic brain injury (TBI) subjects by direct electrophysiological imaging (DELPHI) which analyzes TMS (transcranial magnetic stimulation) evoked potentials. Methods: Study included 123 participants out of which: 53 subjects with white matter related pathologies of (39 stroke, 14 TBI) and 70 healthy age-related controls. All subjects underwent DELPHI brain network evaluations of TMS-EEG evoked potentials, and DTI scans for quantification of white matter microstructure fractional anisotropy. Results: DELPHI output measures show a significant difference between healthy and stroke\TBI groups, a multidimensional approach was able to classify healthy from unhealthy with a balanced accuracy of 0.81±0.02 and AUC of 0.88±0.01 . Moreover, a multivariant regression model of DELPHI output measures achieved prediction of white matter microstructure changes measured by fractional anisotropy (FA) with highest correlations observed for fibers proximal to stimulation area such as frontal corpus callosum (r=0.7±0.02) ,anterior internal capsule (r=0.7±0.02) and fronto-occipital fasciculus (r=0.65±0.03). Conclusions: These results indicate that features of TMS evoked response are correlated to white matter microstructure changes observed in pathological conditions such as stroke and TBI, and that a multi-dimensional approach combining these features in supervised learning methods serve as a strong indicator for abnormalities and changes in white matter integrity.

Details

Title
Evaluation of White Matter Integrity Utilizing the DELPHI (TMS-EEG) System
Author
Levy-Lamdan, Ofri; Zifman, Noa; Sasson, Efrat; Efrati, Shai; Hack, Dallas C; Tanne, David; Dolev, Iftach; Fogel, Hilla
Section
Original Research ARTICLE
Publication year
2020
Publication date
Dec 21, 2020
Publisher
Frontiers Research Foundation
ISSN
16624548
e-ISSN
1662453X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2471579321
Copyright
© 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.