ReviewNeuroSci2026
EEG Signatures of Melancholia: An Update.
Review in NeuroSci, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Melancholia remains a severe and complex form of depression. One possible avenue to a better understanding of melancholia and potentially improved methods of treating it, is via examination of the profiles of brain electrical activity of patients suffering from melancholia. However, apart from work using fMRI, relatively little is known about the electrophysiological basis of melancholia despite the potential for this to inform targeted effective treatments such as Transcranial Magnetic Stimulation. To better understand the state of research regarding EEG variables and melancholia, a systematic review was undertaken. Results indicated that there was a large degree of complexity in the association between melancholia and various EEG parameters, and that many specific aspects of brain electrical activity remain under-studied. Suggestions are made for future research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.