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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

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Relationship Between Abnormalities in Resting-State Quantitative Electroencephalogram Patterns and Poststroke

Xinyuan Li¹, Lang Yue¹, Jing Liu¹

¹Departments of Neurology and.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society

|May 31, 2020

Summary

This summary is machine-generated.

Quantitative EEG spectral power analysis can differentiate poststroke depression (PSD) from non-depressed patients. Alpha and theta band power abnormalities, particularly in alpha1, are linked to PSD and depression severity.

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Area of Science:

Neuroscience
Clinical Neurology
Psychiatry

Background:

Quantitative electroencephalography (qEEG) spectral power analysis is increasingly used for depression assessment.
Previous studies on poststroke depression (PSD) using qEEG have yielded inconsistent findings.
Differentiating PSD from poststroke non-depressed (PSND) individuals using qEEG requires further investigation.

Purpose of the Study:

To investigate if quantitative EEG spectral power abnormalities can differentiate patients with PSD from PSND subjects.
To explore the association between depression severity and EEG spectral power in poststroke patients.

Main Methods:

Resting-state EEG data were collected from 34 participants (11 PSD, 23 PSND).
Spectral power analysis was performed across six frequency bands (alpha1, alpha2, beta1, beta2, delta, theta) at 16 electrodes.
Pearson correlation and receiver operating characteristic (ROC) curve analyses were used to assess associations and diagnostic accuracy.

Main Results:

PSD patients exhibited significantly higher alpha1 power (left temporal) and alpha2 power (left frontal pole) compared to PSND subjects.
Increased theta power was observed in central, temporal, and occipital regions in PSD patients.
A significant positive association was found between the Hamilton Depression Rating Scale (HDRS) total score and absolute alpha1 power in frontal, temporal, and parietal regions.

Conclusions:

Absolute powers in alpha and theta frequency bands effectively distinguish between PSD patients and PSND subjects.
Absolute alpha1 power is a reliable indicator, positively correlating with the severity of depression in poststroke individuals.