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Alpha wave asymmetry is associated with only one component of melancholia, and in different directions across brain
Christopher F Sharpley1, Vicki Bitsika2, Shabah M Shadli2
1Brain-Behaviour Research Group, University of New England, Armidale, New South Wales, 2350, Australia; School of Science & Technology, University of New England, Queen Elizabeth Drive, Armidale, New South Wales, 2351, Australia.
Abstract:
Alpha wave asymmetry inconsistently correlates with Major Depressive Disorder (MDD). One possible reason for this inconsistency is the heterogeneity of MDD, leading to study of depressive 'subtypes', one of which is Melancholia. To investigate the correlation between Melancholia and alpha-wave asymmetry, 100 community participants (44 males, 56 females; aged at least 18 yr) completed the Zung self-rated Depression Scale, and underwent 3 min of eyes closed EEG recording from 24 scalp sites. There was no significant correlation between EEG data and Melancholia total score for the entire sample, but there was for those participants who had clinically significant depression (n = 33). When examined at the level of individual Melancholia scale items, significant EEG data correlations were found for some of the items but not for others. Factor analysis revealed a two-factor structure for the Melancholia scale, only one of which exhibited significant correlations with EEG AA data. Further exploration of those data identified two subcomponents of that Melancholia factor, one which was inversely correlated with frontal alpha asymmetry, and another which was directly correlated with parietal-occipital alpha wave asymmetry. These findings suggest that Melancholia may itself be heterogeneous, similarly to MDD, and rely upon different aspects of cognitive function.
Insights
Investigating alpha wave asymmetry in Major Depressive Disorder (MDD) subtypes like Melancholia reveals complex correlations. Findings suggest Melancholia
Area of Science:
- Neuroscience
- Psychiatry
- Clinical Psychology
Background:
- Alpha wave asymmetry shows inconsistent correlations with Major Depressive Disorder (MDD).
- MDD heterogeneity may explain inconsistent findings, prompting investigation into subtypes like Melancholia.
- Understanding electrophysiological markers in depressive subtypes is crucial for targeted treatments.
Purpose of the Study:
- To explore the relationship between alpha wave asymmetry and the depressive subtype, Melancholia.
- To determine if Melancholia exhibits distinct patterns of alpha asymmetry compared to MDD generally.
- To investigate the potential heterogeneity within Melancholia itself using EEG data.
Main Methods:
- 100 community participants completed the Zung self-rated Depression Scale.
- Electroencephalography (EEG) recorded alpha wave activity from 24 scalp sites during eyes-closed rest.
- Factor analysis was used to examine the structure of the Melancholia scale and its correlation with EEG asymmetry.
Main Results:
- No overall correlation between EEG data and Melancholia total score in the full sample.
- Significant correlations emerged between EEG data and Melancholia scores in participants with clinically significant depression (n=33).
- Factor analysis identified two subcomponents of Melancholia, each correlating differently with frontal and parietal-occipital alpha asymmetry.
Conclusions:
- Alpha wave asymmetry may be inconsistently correlated with Melancholia due to its own heterogeneity.
- Specific aspects of Melancholia correlate with distinct patterns of frontal and parietal-occipital alpha asymmetry.
- These findings suggest Melancholia may involve different cognitive functions, impacting its electrophysiological correlates.
