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Cited by 341

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Sleep and circadian rhythms in mood disorders

Open access
Armitage, R.·2007·Acta Psychiatrica Scandinavica

Abstract

Objective: Self‐reported sleep disturbances are present in over 80% of patients with depression. However, sleep electroencephalography (EEG) findings, based on overnight polysomnography have not always differentiated depressed patients from healthy individuals. Method: The present paper will review the findings on sleep EEG studies in depression highlighting how recent technological and methodological advances have impacted on study outcomes. Results: The majority of studies, including our own work, do indicate that sleep homeostasis and sleep EEG rhythms are abnormal in depression, but the sleep disturbances were strongly moderated by gender and age. Melancholic features of depression correlated significantly with low slow‐wave activity in depressed men, but not in depressed women. Women with depression showed low temporal coherence of sleep EEG rhythms but the presence or absence of melancholic features did not influence correlations. Conclusion: Diagnostic classification schemas and clinical features of depression may influence sleep EEG findings, but gender may be a more important consideration.

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Crossref · 10.1111/j.1600-0447.2007.00968.x

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Metadata

Authors
Armitage, R.
Venue
Acta Psychiatrica Scandinavica
Publisher
Wiley
Published
2007-01-15
Volume
115
Issue
s433
Pages
104-115
ISSN
  • 0001-690X (ISSN-L)
  • 1600-0447
OpenAlex
W2018707355
Cited by
341
References
8
FWCI
20.44
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Sleep and circadian rhythms in mood disorders. https://app.cochat.ai/papers/10.1111/j.1600-0447.2007.00968.x
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Armitage, R. (2007). Sleep and circadian rhythms in mood disorders. Acta Psychiatrica Scandinavica. https://doi.org/10.1111/j.1600-0447.2007.00968.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.