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Updated: Feb 13, 2026
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A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats
Published on: May 22, 2019
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Predictive power of abnormal electroencephalogram for post-cerebral infarction depression
Yan-Ping Zheng1, Fu-Xi Wang2, De-Qiang Zhao3
1Health Science Center, Shenzhen University, Shenzhen, Guangdong Province, China.
Neural Regeneration Research
|March 21, 2018
Summary
Electroencephalography (EEG) may predict post-cerebral infarction depression. Ischemic stroke patients with depression show low-amplitude alpha and slow theta activity on EEG, unlike those without depression.
Area of Science:
- Neuroscience
- Clinical Neurology
- Psychiatry
Background:
- Electroencephalography (EEG) measures brain activity and detects early functional changes in cerebral ischemia.
- The predictive value of EEG for post-cerebral infarction depression remains unclear.
Purpose of the Study:
- To investigate the relationship between EEG patterns and the development of depression after ischemic stroke.
- To determine if specific EEG findings can predict post-cerebral infarction depression.
Main Methods:
- Electroencephalography (EEG) and Hamilton Depression Rating Scale assessments were performed on 321 ischemic stroke patients.
- Statistical analysis was used to correlate EEG data with depression severity.
Main Results:
- Ischemic stroke patients with depression exhibited low-amplitude alpha activity and slow theta activity on EEG.
- Patients without depression showed fast beta activity and slow delta activity.
Conclusions:
- Low-amplitude alpha activity and slow theta activity are independent predictors of post-cerebral infarction depression.
- EEG may serve as a valuable tool for identifying individuals at risk for depression after stroke.
Keywords:
Hamilton Depression Rating Scalebrain organic mental disorderscerebrovascular diseasedepressionelectroencephalographyischemic strokenerve regenerationneural regenerationpost-cerebral-infarction depressionstrokeMore Related Videos
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