Stroke-related alterations in inter-areal communication revealed via Granger causality analysis - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2021

Stroke-related alterations in inter-areal communication revealed via Granger causality analysis

Michele Allegra
Chiara Favaretto
  • Fonction : Auteur
Nicholas Metcalf
  • Fonction : Auteur
Maurizio Corbetta
  • Fonction : Auteur
Andrea Brovelli

Résumé

Neuroimaging and neurological studies suggest that stroke is a brain network syndrome. While causing local ischemia and cell damage at the site of injury, stroke strongly perturbs the functional organization of brain networks at large. Critically, functional connectivity abnormalities parallel both behavioral deficits and functional recovery across different cognitive domains. However, the reasons for such relations remain poorly understood. Here, we tested the hypothesis that alterations in inter-areal communication underlie stroke-related modulations in functional connectivity (FC). To this aim, we used resting-state fMRI and Granger causality analysis to quantify information transfer between brain areas and its alteration in stroke. Two main large-scale anomalies were observed in stroke patients. First, inter-hemispheric information transfer was strongly decreased with respect to healthy controls. Second, information transfer within the affected hemisphere, and from the affected to the intact hemisphere was reduced. Both anomalies were more prominent in resting-state networks related to attention and language, and they were correlated with impaired performance in several behavioral domains. Overall, our results support the hypothesis that stroke perturbs inter-areal communication within and across hemispheres, and suggest novel therapeutic approaches aimed at restoring normal information flow.
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Dates et versions

hal-03106631 , version 1 (12-01-2021)

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Michele Allegra, Chiara Favaretto, Nicholas Metcalf, Maurizio Corbetta, Andrea Brovelli. Stroke-related alterations in inter-areal communication revealed via Granger causality analysis. 2021. ⟨hal-03106631⟩
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