Electrophysiological changes in poststroke subjects with depressed mood: A quantitative EEG study.

Area of Science:

• Neuroscience
• Clinical Psychology
• Biomedical Engineering

Background:

• Stroke survivors frequently experience depressed mood, impacting recovery.
• Understanding the neurophysiological underpinnings of post-stroke depression is crucial.

Purpose of the Study:

• To investigate electrophysiological changes in post-stroke subjects with depressed mood.
• To identify quantitative electroencephalogram (EEG) markers associated with post-stroke depression.

Main Methods:

• Resting-state EEG data from 16 electrodes were analyzed in 35 depressed post-stroke, 24 non-depressed post-stroke, and 35 healthy control subjects.
• Spectral power analysis quantified EEG activity across different frequency bands.
• Statistical analyses included variance, Spearman correlation, multiple analysis of variance, binary logistic regression, and receiver operating characteristic curves.

Main Results:

• Lesion side and time since stroke did not influence depressed mood; only functional status correlated with emotional symptoms.
• Increased delta, theta, and beta2 power were observed in depressed post-stroke subjects, particularly in temporal regions.
• Theta and beta2 power in the right temporal area demonstrated high sensitivity and discriminatory ability for detecting depressed mood.

Conclusions:

• Depressed mood post-stroke is associated with the patient's functional status.
• Quantitative EEG parameters, specifically theta and beta2 power in the right temporal region, may serve as valuable tools for early screening of depression in stroke survivors.