Stroke-related alterations in inter-areal communication

Autor: Michele Allegra, Nicholas V. Metcalf, Maurizio Corbetta, Chiara Favaretto, Andrea Brovelli
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Stroke patient
RSNs
resting-state networks

Cognitive Neuroscience
Computer applications to medicine. Medical informatics
R858-859.7
Ischemia
FC
functional connectivity

03 medical and health sciences
Granger causality
Resting state fMRI
Stroke
0302 clinical medicine
medicine
IC
instantaneous (Granger) causality

Humans
Radiology
Nuclear Medicine and imaging

cardiovascular diseases
RC346-429
LH/RH
left/right hemisphere

030304 developmental biology
0303 health sciences
Brain Mapping
Granger causality analysis
business.industry
Functional connectivity
GC
Granger causality

Communication
UFC
undirected functional connectivity

Brain
Cognition
Regular Article
medicine.disease
Functional recovery
Magnetic Resonance Imaging
Neurology
fMRI
functional magnetic resonance imaging

DC
directed (Granger) causality

Neurology. Diseases of the nervous system
Neurology (clinical)
Functional organization
business
Neuroscience
030217 neurology & neurosurgery
Zdroj: NeuroImage : Clinical
NeuroImage: Clinical, Vol 32, Iss, Pp 102812-(2021)
ISSN: 2213-1582
Popis: Highlights • We used covariance-based Granger Causality on resting-state fMRI of stroke patients. • Stroke determines an overall decrease of homotopic Granger causality (GC) • Stroke determines a decrease of GC from and within the lesioned hemisphere. • Stroke causes imbalances in GC between the lesioned and the healthy hemisphere. • GC anomalies correlate with impaired performance in several behavioral domains.
Beyond causing local ischemia and cell damage at the site of injury, stroke strongly affects long-range anatomical connections, perturbing the functional organization of brain networks. Several studies reported functional connectivity abnormalities parallelling both behavioral deficits and functional recovery across different cognitive domains. FC alterations suggest that long-range communication in the brain is altered after stroke. However, standard FC analyses cannot reveal the directionality and time scale of inter-areal information transfer. We used resting-state fMRI and covariance-based Granger causality analysis to quantify network-level information transfer and its alteration in stroke. Two main large-scale anomalies were observed in stroke patients. First, inter-hemispheric information transfer was significantly decreased with respect to healthy controls. Second, stroke caused inter-hemispheric asymmetries, as information transfer within the affected hemisphere and from the affected to the intact hemisphere was significantly reduced. Both anomalies were more prominent in resting-state networks related to attention and language, and they correlated with impaired performance in several behavioral domains. Overall, our findings support the hypothesis that stroke provokes asymmetries between the affected and spared hemisphere, with different functional consequences depending on which hemisphere is lesioned.
Databáze: OpenAIRE