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The investigation of brain functional network dynamics offers a promising approach to understanding network reorganization poststroke. This study aims to explore the dynamic network configurations associated with motor recovery in stroke patients and assess their predictive potential using multilayer network analysis. Resting-state functional magnetic resonance imaging data were collected from patients with subacute stroke within 2 weeks of onset and from matched healthy controls (HCs).

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Article Synopsis
  • Loss of language function, known as aphasia, often occurs after a stroke, and recovery predictions can be uncertain without reliable biomarkers.
  • This study investigated the role of the cerebellum in language processing by using resting-state fMRI to compare cerebellar activity and connectivity in stroke patients with aphasia against healthy controls.
  • Findings revealed that stroke patients had reduced cerebellar activity and functional connectivity with language-related brain areas, suggesting the right cerebellum could be a potential target for therapies to improve language recovery.
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