Partial least squares multimodal analysis of brain network correlates of language deficits in aphasia.

ABSTRACT: Lesion-symptom mapping techniques are essential to determine brain regions critical for language functions. However, high collinearity in neuroimaging and behavioural data remains a challenge for distinguishing neural substrates supporting multiple language domains (shared variance) and those subserving specific language functions (unique variance). Here, we employed a novel approach to multimodal lesion-symptom mapping using multivariate partial least squares regression to delineate the latent structure of lesion-behavioural mapping in aphasia and decompose the shared and unique neural determinants of language impairments. A total of 86 participants with chronic (>12-month post-stroke) aphasia after left hemisphere strokes were examined. Language impairment was assessed with the Western A

SUBMITTER: Kristinsson S 

PROVIDER: S-EPMC12264888 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature