The effects of lesion and treatment-related recovery on functional network modularity in post-stroke dysgraphia.

ABSTRACT: A better understanding of the neural network properties that support cognitive recovery after a brain lesion is important for our understanding of human neuroplasticity and may have valuable clinical implications. In fifteen individuals with chronic, acquired written language deficits subsequent to left-hemisphere stroke, we used task-based functional connectivity to evaluate the relationship between the graph-theoretic measures (modularity, participation coefficient and within-module degree z-score) and written language production accuracy before and after behavioral treatment. A reference modular structure and local and global hubs identified from healthy controls formed the basis of the analyses. Overall, the investigation revealed that less modular networks with greater global and lowe

SUBMITTER: Tao Y 

PROVIDER: S-EPMC6538967 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature