What question did this study set out to answer?

This research aims to explore the relationship between sleep EEG patterns and depression, particularly identifying potential biomarkers.

Depression and Sleep

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Randomized trial examines sleep changes in depression, suggesting biomarkers for treatment response.

This research aims to explore the relationship between sleep EEG patterns and depression, particularly identifying potential biomarkers.
Objective sleep is assessed using sleep EEG recordings, focusing on REM and non-REM sleep alterations.
Family studies correlate enhanced REM density with depressive endophenotypes.
Examines the role of cordance in predicting treatment response and its relation to the hypothalamo-pituitary-adrenocortical system.
Impaired sleep is linked to depression through altered REM and non-REM sleep patterns.
Antidepressants suppress REM sleep, influencing sleep continuity and EEG measures.
Prefrontal theta cordance is identified as a relevant biomarker for predicting treatment response (p<0.05).

Steiger et al. (2019) studied this question.

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