Investigating the structure-function relationship of the corticomotor system early after stroke using machine learning

Investigating the structure-function relationship of the corticomotor system early after stroke using machine learning

Background: Motor outcomes after stroke can be predicted using structural and functional biomarkers of the descending corticomotor pathway, typically measured using magnetic resonance imaging and transcranial magnetic stimulation, respectively. However, the precise structural determinants of intact...

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Bibliographic Details
Main Authors: Benjamin Chong, Alan Wang, Victor Borges, Winston D. Byblow, P. Alan Barber, Cathy Stinear
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:NeuroImage: Clinical
Subjects:
Stroke
Biomarkers
Humans
Magnetic resonance imaging
Transcranial magnetic stimulation
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S221315822100379X

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http://www.sciencedirect.com/science/article/pii/S221315822100379X

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