Electroencephalogram Gamma Band Power Correlates with Anhedonia in a Community Sample

Major depression (MD) is a condition characterised by persistent sadness and apathy, sometimes accompanied by changes in sleep, appetite, and energy levels. It is highly heterogeneous, and depressive subtypes exhibit differing symptom profiles and patterns of brain activity. <b>Background/Objectives</b>: Currently, there are no physiological diagnostic means to detect depression or depressive subtypes. An emerging biomarker may be the electroencephalogram (EEG) band, gamma, due to the role of this frequency in reward processing and cognition. The aim of this work was to complete an exploratory study to investigate the interaction between gamma band power, depression, and four depressive subtypes. <b>Methods</b>: A correlative study between resting-state gamma band power and individual scores on the Zung Self-rating Depression Scale (SDS) was completed using exact standardised low-resolution electromagnetic tomography (eLORETA) using EEG data from a community sample of 100 participants, including not depressed and depressed participants, and four depressive subtypes (anhedonia-, cognitive- and somatic-depression and depressed mood). <b>Results</b>: There was no significant positive correlation between gamma band power and overall depression score. However, there was a significant positive correlation between anhedonia and gamma band power, predominantly in the left anterior cingulate cortex, which may be consistent with dysfunctional reward processing, a characteristic of anhedonia. Additional areas of significance included the posterior cingulate cortex and left middle and superior frontal cortex. <b>Conclusions</b>: These results provide preliminary support for neurophysiological indicators of depressive subtypes and may help inform diagnosis and treatment guidance for depression and depressive subtypes in the future.

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Publication Details

Journal
Journal of Personalized Medicine
Published
2025-11-03
DOI
https://doi.org/10.3390/jpm15110536
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00

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article

Electroencephalogram Gamma Band Power Correlates with Anhedonia in a Community Sample

Kirstan A. Vessey, Christopher Francis Sharpley, Ian D. Evans, Sarah L. Coleman et al.
Journal of Personalized Medicine
Emotion and Mood Recognition
article

Electroencephalogram Gamma Band Power Correlates with Anhedonia in a Community Sample

Kirstan A. Vessey, Christopher Francis Sharpley, Ian D. Evans, Sarah L. Coleman, Vicki Bitsika, G. Lorenzo Odierna
article en

Abstract

Major depression (MD) is a condition characterised by persistent sadness and apathy, sometimes accompanied by changes in sleep, appetite, and energy levels. It is highly heterogeneous, and depressive subtypes exhibit differing symptom profiles and patterns of brain activity. <b>Background/Objectives</b>: Currently, there are no physiological diagnostic means to detect depression or depressive subtypes. An emerging biomarker may be the electroencephalogram (EEG) band, gamma, due to the role of this frequency in reward processing and cognition. The aim of this work was to complete an exploratory study to investigate the interaction between gamma band power, depression, and four depressive subtypes. <b>Methods</b>: A correlative study between resting-state gamma band power and individual scores on the Zung Self-rating Depression Scale (SDS) was completed using exact standardised low-resolution electromagnetic tomography (eLORETA) using EEG data from a community sample of 100 participants, including not depressed and depressed participants, and four depressive subtypes (anhedonia-, cognitive- and somatic-depression and depressed mood). <b>Results</b>: There was no significant positive correlation between gamma band power and overall depression score. However, there was a significant positive correlation between anhedonia and gamma band power, predominantly in the left anterior cingulate cortex, which may be consistent with dysfunctional reward processing, a characteristic of anhedonia. Additional areas of significance included the posterior cingulate cortex and left middle and superior frontal cortex. <b>Conclusions</b>: These results provide preliminary support for neurophysiological indicators of depressive subtypes and may help inform diagnosis and treatment guidance for depression and depressive subtypes in the future.

Journal of Personalized MedicineVol. 15(11)
University of New England (AU)
University of New England
Openalex Percentile: Top 66%
Emotion and Mood Recognition
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