Machine learning and individual variability in electric field characteristics predict tDCS treatment response

Machine learning and individual variability in electric field characteristics predict tDCS treatment response

Background: Transcranial direct current stimulation (tDCS) is widely investigated as a therapeutic tool to enhance cognitive function in older adults with and without neurodegenerative disease. Prior research demonstrates that electric current delivery to the brain can vary significantly across indi...

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Bibliographic Details
Main Authors: Alejandro Albizu, Ruogu Fang, Aprinda Indahlastari, Andrew O’Shea, Skylar E. Stolte, Kyle B. See, Emanuel M. Boutzoukas, Jessica N. Kraft, Nicole R. Nissim, Adam J. Woods
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Brain Stimulation
Subjects:
Transcranial direct current stimulation
tDCS
Cognitive aging
Finite element modeling
Machine learning
Treatment response
Online Access:http://www.sciencedirect.com/science/article/pii/S1935861X20302680

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http://www.sciencedirect.com/science/article/pii/S1935861X20302680

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