Power suppression in EEG after the onset of SAH is a significant marker of early brain injury in rat models.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
27 Jan 2024
Historique:
received: 27 05 2023
accepted: 19 01 2024
medline: 28 1 2024
pubmed: 28 1 2024
entrez: 27 1 2024
Statut: epublish

Résumé

We analyzed the correlation between the duration of electroencephalogram (EEG) recovery and histological outcome in rats in the acute stage of subarachnoid hemorrhage (SAH) to find a new predictor of the subsequent outcome. SAH was induced in eight rats by cisternal blood injection, and the duration of cortical depolarization was measured. EEG power spectrums were given by time frequency analysis, and histology was evaluated. The appropriate frequency band and recovery percentage of EEG (defined as EEG recovery time) to predict the neuronal damage were determined from 25 patterns (5 bands × 5 recovery rates) of receiver operating characteristic (ROC) curves. Probit regression curves were depicted to evaluate the relationships between neuronal injury and duration of depolarization and EEG recovery. The optimal values of the EEG band and the EEG recovery time to predict neuronal damage were 10-15 Hz and 40%, respectively (area under the curve [AUC]: 0.97). There was a close relationship between the percentage of damaged neurons and the duration of depolarization or EEG recovery time. These results suggest that EEG recovery time, under the above frequency band and recovery rate, may be a novel marker to predict the outcome after SAH.

Identifiants

pubmed: 38280926
doi: 10.1038/s41598-024-52527-0
pii: 10.1038/s41598-024-52527-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2277

Informations de copyright

© 2024. The Author(s).

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Auteurs

Yuji Takasugi (Y)

Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Department of Neurosurgery, Okayama City Hospital, Okayama, Japan.

Tomohito Hishikawa (T)

Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Tomohisa Shimizu (T)

Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Satoshi Murai (S)

Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Jun Haruma (J)

Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Masafumi Hiramatsu (M)

Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Koji Tokunaga (K)

Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Department of Neurosurgery, Okayama City Hospital, Okayama, Japan.

Yoshimasa Takeda (Y)

Department of Anesthesiology, Faculty of Medicine, Toho University, 6-11-1 Omori-nishi, Ota-ku, Tokyo, 143-8541, Japan. yoshimasatakeda@gmail.com.

Kenji Sugiu (K)

Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Hiroshi Morimatsu (H)

Department of Anesthesiology and Resuscitology, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Isao Date (I)

Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

Classifications MeSH