Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index

Abstract 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-...

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Autores principales:	Teiji Kawano, Noriaki Hattori, Yutaka Uno, Megumi Hatakenaka, Hajime Yagura, Hiroaki Fujimoto, Michiko Nagasako, Hideki Mochizuki, Keiichi Kitajo, Ichiro Miyai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/911b176af9f346f492851691b844c9f1
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spelling	oai:doaj.org-article:911b176af9f346f492851691b844c9f12021-12-02T17:24:10ZAssociation between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index10.1038/s41598-021-91978-72045-2322https://doaj.org/article/911b176af9f346f492851691b844c9f12021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91978-7https://doaj.org/toc/2045-2322Abstract 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.Teiji KawanoNoriaki HattoriYutaka UnoMegumi HatakenakaHajime YaguraHiroaki FujimotoMichiko NagasakoHideki MochizukiKeiichi KitajoIchiro MiyaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Teiji Kawano Noriaki Hattori Yutaka Uno Megumi Hatakenaka Hajime Yagura Hiroaki Fujimoto Michiko Nagasako Hideki Mochizuki Keiichi Kitajo Ichiro Miyai Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index
description	Abstract 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.
format	article
author	Teiji Kawano Noriaki Hattori Yutaka Uno Megumi Hatakenaka Hajime Yagura Hiroaki Fujimoto Michiko Nagasako Hideki Mochizuki Keiichi Kitajo Ichiro Miyai
author_facet	Teiji Kawano Noriaki Hattori Yutaka Uno Megumi Hatakenaka Hajime Yagura Hiroaki Fujimoto Michiko Nagasako Hideki Mochizuki Keiichi Kitajo Ichiro Miyai
author_sort	Teiji Kawano
title	Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index
title_short	Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index
title_full	Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index
title_fullStr	Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index
title_full_unstemmed	Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index
title_sort	association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/911b176af9f346f492851691b844c9f1
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Association between aphasia severity and brain network alterations after stroke assessed using the electroencephalographic phase synchrony index

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