Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders
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 exam...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1445962/full |
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| author | Ai-ling Liu Ai-ling Liu Ming-hao Du Ming-hao Du Yu-lei Liu Yu-lei Liu Cheng-jing Fei Cheng-jing Fei Yu-qian Xue Yu-qian Xue Rong Yin |
| author_facet | Ai-ling Liu Ai-ling Liu Ming-hao Du Ming-hao Du Yu-lei Liu Yu-lei Liu Cheng-jing Fei Cheng-jing Fei Yu-qian Xue Yu-qian Xue Rong Yin |
| author_sort | Ai-ling Liu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-eddb7a92404047e7ae369f906d80d0d8 |
| institution | OA Journals |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-eddb7a92404047e7ae369f906d80d0d82025-08-20T02:12:37ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-04-011610.3389/fneur.2025.14459621445962Research progress of quantitative electroencephalography in post-ischemic stroke mental disordersAi-ling Liu0Ai-ling Liu1Ming-hao Du2Ming-hao Du3Yu-lei Liu4Yu-lei Liu5Cheng-jing Fei6Cheng-jing Fei7Yu-qian Xue8Yu-qian Xue9Rong Yin10First School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, ChinaNeurology Department, Gansu Provincial Central Hospital, Lanzhou, ChinaFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, ChinaNeurology Department, Gansu Provincial Central Hospital, Lanzhou, ChinaFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, ChinaNeurology Department, Gansu Provincial Central Hospital, Lanzhou, ChinaFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, ChinaNeurology Department, Gansu Provincial Central Hospital, Lanzhou, ChinaFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, ChinaNeurology Department, Gansu Provincial Central Hospital, Lanzhou, ChinaNeurology Department, Gansu Provincial Central Hospital, Lanzhou, ChinaQuantitative 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.https://www.frontiersin.org/articles/10.3389/fneur.2025.1445962/fullquantitative electroencephalographyischemic strokemental disorderprognostic indicatorstime effects |
| spellingShingle | Ai-ling Liu Ai-ling Liu Ming-hao Du Ming-hao Du Yu-lei Liu Yu-lei Liu Cheng-jing Fei Cheng-jing Fei Yu-qian Xue Yu-qian Xue Rong Yin Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders Frontiers in Neurology quantitative electroencephalography ischemic stroke mental disorder prognostic indicators time effects |
| title | Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders |
| title_full | Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders |
| title_fullStr | Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders |
| title_full_unstemmed | Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders |
| title_short | Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders |
| title_sort | research progress of quantitative electroencephalography in post ischemic stroke mental disorders |
| topic | quantitative electroencephalography ischemic stroke mental disorder prognostic indicators time effects |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1445962/full |
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