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Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders

作者:Liu, Ai-ling[1,2];Du, Ming-hao[1,2];Liu, Yu-lei[1,2];Fei, Cheng-jing[1,2];Xue, Yu-qian[1,2];Yin, Rong[2]

第一作者:刘爱玲;Liu, Ai-ling

通信作者:Yin, R[1]

机构:[1]Gansu Univ Chinese Med, Sch Clin Med 1, Lanzhou, Peoples R China;[2]Gansu Prov Cent Hosp, Neurol Dept, Lanzhou, Peoples R China

第一机构:甘肃中医药大学

通信机构:[1]corresponding author), Gansu Prov Cent Hosp, Neurol Dept, Lanzhou, Peoples R China.

年份:2025

卷号:16

外文期刊名:FRONTIERS IN NEUROLOGY

收录:;Scopus(收录号:2-s2.0-105004185309);WOS:【SCI-EXPANDED(收录号:WOS:001478255100001)】;

基金:I am indebted to my advisor and colleagues for their support. Special thanks to Wardah Rahmatul Islamiyah and other reviewers for their valuable feedback, which has greatly improved this work.

语种:英文

外文关键词:quantitative electroencephalography; ischemic stroke; mental disorder; prognostic indicators; time effects

摘要:Quantitative electroencephalography (qEEG) has significantly advanced in the field of neuroscience as a highly sensitive tool for routine monitoring following a stroke. It holds promise in diagnosing post-stroke psychiatric disorders and evaluating treatment outcomes. This review systematically examined published papers and thoroughly analyzed research findings on using qEEG indicators to monitor mental abnormalities in patients with ischemic stroke. The review covers key time periods, including the early stage (within 72 h), subacute stage (72 h to 1 month), and chronic stage (over 1 month) post-onset. The current evidence suggests that correlation indicators from electroencephalography (EEG) monitoring vary across different time periods, with Power spectrum analysis is a current research hotspot. This review summarizes and analyzes specialized studies on utilizing these qEEG indicators for monitoring and evaluating mental disorders in ischemic stroke, identifying key monitoring indicators highlighted in current research.

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