The canonical semantic network supports residual language function in chronic post-stroke aphasia
Joseph C. Griffis, Rodolphe Nenert, Jane B. Allendorfer, Jennifer, Vannest, Scott Holland, Aimee Dietz, Jerzy P. Szaflarski

TL;DR
This study demonstrates that bilateral language networks, especially right hemisphere regions, support language recovery after stroke, with activity patterns varying based on lesion size and extent of damage.
Contribution
It provides evidence that right hemisphere activation contributes to language recovery in chronic post-stroke aphasia, extending current models of language reorganization.
Findings
Canonical semantic network predicts 22-33% of language performance variance.
Right frontal regions show increased activity in patients with large lesions.
Right hemisphere activation correlates with better language abilities in extensive damage cases.
Abstract
Current theories of language recovery after stroke are limited by a reliance on small studies. Here, we aimed to test predictions of current theory and resolve inconsistencies regarding right hemispheric contributions to long-term recovery. We first defined the canonical semantic network in 43 healthy controls. Then, in a group of 43 patients with chronic post-stroke aphasia, we tested whether activity in this network predicted performance on measures of semantic comprehension, naming, and fluency while controlling for lesion volume effects. Canonical network activation accounted for 22-33% of the variance in language test scores. Whole-brain analyses corroborated these findings, and revealed a core set of regions showing positive relationships to all language measures. We next evaluated the relationship between activation magnitudes in left and right hemispheric portions of the…
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