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Updated: May 9, 2025

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders
Ai-Ling Liu1,2, Ming-Hao Du1,2, Yu-Lei Liu1,2
1First School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, China.
Quantitative electroencephalography (qEEG) effectively monitors mental health changes after ischemic stroke. This review highlights key qEEG indicators across different recovery stages, aiding in diagnosis and treatment evaluation.
Area of Science:
- Neuroscience
- Clinical Neurology
- Psychiatry
Background:
- Quantitative electroencephalography (qEEG) is a sensitive tool for monitoring stroke patients.
- qEEG shows potential for diagnosing post-stroke psychiatric disorders and assessing treatment efficacy.
- Mental abnormalities are common following ischemic stroke.
Purpose of the Study:
- To systematically review and analyze research on qEEG indicators for monitoring mental abnormalities in ischemic stroke patients.
- To identify key qEEG monitoring indicators across different post-stroke time periods.
- To evaluate the utility of qEEG in assessing psychiatric conditions and treatment outcomes in stroke survivors.
Main Methods:
- Systematic review of published literature on qEEG in ischemic stroke.
- Analysis of qEEG indicators, including Power spectrum analysis, across different time frames (early, subacute, chronic).
- Examination of studies focusing on mental abnormalities and treatment evaluation.
Main Results:
- qEEG monitoring indicators for mental abnormalities vary significantly across different post-stroke stages.
- Power spectrum analysis is identified as a current research hotspot in this field.
- Specific qEEG patterns correlate with mental health status and treatment response.
Conclusions:
- qEEG is a valuable tool for monitoring mental health in ischemic stroke patients.
- Identifying specific qEEG indicators can improve the diagnosis and management of post-stroke psychiatric disorders.
- Further research, particularly on Power spectrum analysis, is warranted to optimize qEEG's clinical application.
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