Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model

Abstract Precise monitoring of the brain after a stroke is essential for clinical decision making. Due to the non-invasive nature and high temporal resolution of electroencephalography (EEG), it is widely used to evaluate real-time cortical activity. In this study, we investigated the stroke-related...

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Autores principales:	Hyun-Joon Yoo, Jinsil Ham, Nguyen Thanh Duc, Boreom Lee
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/22ddeda2382744598002caaad3118ff6
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spelling	oai:doaj.org-article:22ddeda2382744598002caaad3118ff62021-12-02T10:48:02ZQuantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model10.1038/s41598-021-81912-22045-2322https://doaj.org/article/22ddeda2382744598002caaad3118ff62021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81912-2https://doaj.org/toc/2045-2322Abstract Precise monitoring of the brain after a stroke is essential for clinical decision making. Due to the non-invasive nature and high temporal resolution of electroencephalography (EEG), it is widely used to evaluate real-time cortical activity. In this study, we investigated the stroke-related EEG biomarkers and developed a predictive model for quantifying the structural brain damage in a focal cerebral ischaemic rat model. We enrolled 31 male Sprague–Dawley rats and randomly assigned them to mild stroke, moderate stroke, severe stroke, and control groups. We induced photothrombotic stroke targeting the right auditory cortex. We then acquired EEG signal responses to sound stimuli (frequency linearly increasing from 8 to 12 kHz with 750 ms duration). Power spectral analysis revealed a significant correlation of the relative powers of alpha, theta, delta, delta/alpha ratio, and (delta + theta)/(alpha + beta) ratio with the stroke lesion volume. The auditory evoked potential analysis revealed a significant association of amplitude and latency with stroke lesion volume. Finally, we developed a multiple regression model combining EEG predictors for quantifying the ischaemic lesion (R2 = 0.938, p value < 0.001). These findings demonstrate the potential application of EEG as a valid modality for monitoring the brain after a stroke.Hyun-Joon YooJinsil HamNguyen Thanh DucBoreom LeeNature 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 Hyun-Joon Yoo Jinsil Ham Nguyen Thanh Duc Boreom Lee Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model
description	Abstract Precise monitoring of the brain after a stroke is essential for clinical decision making. Due to the non-invasive nature and high temporal resolution of electroencephalography (EEG), it is widely used to evaluate real-time cortical activity. In this study, we investigated the stroke-related EEG biomarkers and developed a predictive model for quantifying the structural brain damage in a focal cerebral ischaemic rat model. We enrolled 31 male Sprague–Dawley rats and randomly assigned them to mild stroke, moderate stroke, severe stroke, and control groups. We induced photothrombotic stroke targeting the right auditory cortex. We then acquired EEG signal responses to sound stimuli (frequency linearly increasing from 8 to 12 kHz with 750 ms duration). Power spectral analysis revealed a significant correlation of the relative powers of alpha, theta, delta, delta/alpha ratio, and (delta + theta)/(alpha + beta) ratio with the stroke lesion volume. The auditory evoked potential analysis revealed a significant association of amplitude and latency with stroke lesion volume. Finally, we developed a multiple regression model combining EEG predictors for quantifying the ischaemic lesion (R2 = 0.938, p value < 0.001). These findings demonstrate the potential application of EEG as a valid modality for monitoring the brain after a stroke.
format	article
author	Hyun-Joon Yoo Jinsil Ham Nguyen Thanh Duc Boreom Lee
author_facet	Hyun-Joon Yoo Jinsil Ham Nguyen Thanh Duc Boreom Lee
author_sort	Hyun-Joon Yoo
title	Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model
title_short	Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model
title_full	Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model
title_fullStr	Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model
title_full_unstemmed	Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model
title_sort	quantification of stroke lesion volume using epidural eeg in a cerebral ischaemic rat model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/22ddeda2382744598002caaad3118ff6
work_keys_str_mv	AT hyunjoonyoo quantificationofstrokelesionvolumeusingepiduraleeginacerebralischaemicratmodel AT jinsilham quantificationofstrokelesionvolumeusingepiduraleeginacerebralischaemicratmodel AT nguyenthanhduc quantificationofstrokelesionvolumeusingepiduraleeginacerebralischaemicratmodel AT boreomlee quantificationofstrokelesionvolumeusingepiduraleeginacerebralischaemicratmodel
_version_	1718396696087494656

Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model

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