Identification of a specific functional network altered in poststroke cognitive impairment

Bournonville, Clement; Henon, Hilde; Dondaine, Thibaut; Delmaire, Christine; Bombois, Stephanie; Mendyk, Anne-Marie; Cordonnier, Charlotte; Moulin, Solene; Leclerc, Xavier; Bordet, Regis; Lopes, Renaud

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1212/WNL.0000000000005553

PMID :

29678937

Permalink :

http://hdl.handle.net/20.500.12210/16317

Title :

Identification of a specific functional network altered in poststroke cognitive impairment

Author(s) :

Bournonville, Clement [Auteur]
Henon, Hilde [Auteur]

Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U1171
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Dondaine, Thibaut [Auteur]

Delmaire, Christine [Auteur]

Troubles cognitifs dégénératifs et vasculaires - U1171
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Bombois, Stephanie [Auteur]

Journal title :

Neurology

Abbreviated title :

Neurology

Publication date :

2018-04-20

ISSN :

1526-632X

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

To study the association between poststroke cognitive impairment and defining a specific resting functional marker. The resting-state functional connectivity 6 months after an ischemic stroke in 56 patients was investigated. ...
Show more >To study the association between poststroke cognitive impairment and defining a specific resting functional marker. The resting-state functional connectivity 6 months after an ischemic stroke in 56 patients was investigated. Twenty-nine of the patients who had an impairment of one or several cognitive domains were compared to 27 without any cognitive deficit. We studied the whole-brain connectivity using 2 complementary approaches: graph theory to study the functional network organization and network-based statistics to explore connectivity between brain regions. We assessed the potential cortical atrophy using voxel-based morphometry analysis. The overall topological organization of the functional network was not altered in cognitively impaired stroke patients, who had the same mean node degree, average clustering coefficient, and global efficiency as cognitively healthy stroke patients. Network-based statistics analysis showed that poststroke cognitive impairment was associated with dysfunction of a whole-brain network composed of 167 regions and 178 connections, and functional disconnections between superior, middle, and inferior frontal gyri and the superior and inferior temporal gyri. These regions had connections that were specifically and positively correlated with cognitive domain scores. No intergroup differences in overall gray matter thickness and ischemic infarct topography were observed. To assess the effect of prestroke white matter hyperintensities on connectivity, we included the initial Fazekas scale in the regression model for a second network-based analysis. The resulting network was associated with the same key alterations but had fewer connections. The observed functional network alterations suggest that the appearance of a cognitive impairment following stroke may be associated with a particular functional alteration, shared specifically between cognitive domains.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CHU Lille
CNRS
Inserm
Université de Lille

Collections :

Lille Neurosciences & Cognition (LilNCog) - U 1172

Research team(s) :

Troubles cognitifs dégénératifs et vasculaires

Submission date :

2019-11-27T13:36:56Z

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