Predicting Language Function Post-Stroke: A Model-Based Structural Connectivity Approach.

Franziska E Hildesheim Anja Ophey Anna ZumbansenThomas FunckTibor SchusterKeith W JamisonAmy KuceyeskiAlexander Thiel

Published in: Neurorehabilitation and neural repair (2024)

Connectivity disruption of the language network adds predictive value beyond lesion volume, initial language function, and non-verbal cognitive ability. Obtaining information on connectivity disruption based on routine clinical MR images constitutes a significant advancement toward practical clinical application.

Keyphrases

resting state
functional connectivity
white matter
autism spectrum disorder
deep learning
working memory
magnetic resonance
clinical practice
multiple sclerosis
healthcare
magnetic resonance imaging
health information
network analysis