Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index.
Aged
Aged, 80 and over
Aphasia
/ diagnosis
Cross-Sectional Studies
Electroencephalography Phase Synchronization
Feasibility Studies
Female
Frontal Lobe
/ physiopathology
Healthy Volunteers
Humans
Male
Middle Aged
Nerve Net
/ physiopathology
Rest
/ physiology
Severity of Illness Index
Stroke
/ complications
Temporal Lobe
/ physiopathology
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
14 06 2021
14 06 2021
Historique:
received:
20
02
2021
accepted:
02
06
2021
entrez:
15
6
2021
pubmed:
16
6
2021
medline:
3
11
2021
Statut:
epublish
Résumé
Electroencephalographic synchrony can help assess brain network status; however, its usefulness has not yet been fully proven. We developed a clinically feasible method that combines the phase synchrony index (PSI) with resting-state 19-channel electroencephalography (EEG) to evaluate post-stroke motor impairment. In this study, we investigated whether our method could be applied to aphasia, a common post-stroke cognitive impairment. This study included 31 patients with subacute aphasia and 24 healthy controls. We assessed the expressive function of patients and calculated the PSIs of three motor language-related regions: frontofrontal, left frontotemporal, and right frontotemporal. Then, we evaluated post-stroke network alterations by comparing PSIs of the patients and controls and by analyzing the correlations between PSIs and aphasia scores. The frontofrontal PSI (beta band) was lower in patients than in controls and positively correlated with aphasia scores, whereas the right frontotemporal PSI (delta band) was higher in patients than in controls and negatively correlated with aphasia scores. Evaluation of artifacts suggests that this association is attributed to true synchrony rather than spurious synchrony. These findings suggest that post-stroke aphasia is associated with alternations of two different networks and point to the usefulness of EEG PSI in understanding the pathophysiology of aphasia.
Identifiants
pubmed: 34127750
doi: 10.1038/s41598-021-91978-7
pii: 10.1038/s41598-021-91978-7
pmc: PMC8203681
doi:
Types de publication
Journal Article
Observational Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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