Alpha peak activity in resting-state EEG is associated with depressive score

Area of Science:

• Neuroscience
• Psychiatry
• Biomedical Engineering

Background:

• Depression is a prevalent psychiatric disorder marked by persistent sadness and anhedonia.
• Resting-state electroencephalography (EEG) alpha peak activity is a potential neural marker for psychiatric conditions.

Purpose of the Study:

• To explore the relationship between alpha peak activity in resting-state EEG and depression severity.
• To investigate alpha peak amplitude and frequency as potential biomarkers for depression.

Main Methods:

• Recorded resting-state EEG from 155 depression patients using a 128-channel system.
• Utilized source reconstruction (sLORETA) and parcellation into 68 brain regions.
• Measured alpha peak amplitude (neural synchrony) and frequency (brain metabolism).

Main Results:

• A negative correlation was found between alpha peak amplitude and depression scores across widespread brain regions.
• A positive correlation was observed between alpha peak frequency and depression scores.
• Alpha peak amplitude and frequency exhibit distinct associations with depression severity.

Conclusions:

• Alpha peak amplitude and frequency are significantly associated with self-reported depression scores.
• Resting-state EEG alpha peak activity may serve as a valuable neural factor for evaluating depression severity, complementing diagnostic approaches.