Literature DB >> 10745054

Sleep electroencephalographic coherence abnormalities in individuals at high risk for depression: a pilot study.

M K Fulton1, R Armitage, A J Rush.   

Abstract

BACKGROUND: Sleep electroencephalographic (EEG) studies of individuals with major depressive disorder have identified several microarchitectural features associated with the illness. These abnormalities are also found in clinically remitted individuals, raising the question of whether they are vulnerability markers of depression. This study evaluated the sleep EEG in high-risk individuals to see if abnormalities are present in the sleep EEG prior to the onset of illness.
METHODS: A total of 26 subjects (13 males and 13 females) were recruited for study on the basis of 1) having a parent or grandparent treated for major depressive or bipolar affective disorder and 2) having no history of personal psychiatric illness. Polysomnographic data were collected and compared with gender- and age-matched healthy control subjects with no personal or family history of psychiatric illness. The primary outcome measures were interhemispheric and intrahemispheric coherence.
RESULTS: Period analysis of the sleep EEG showed that beta-delta coherence was lower bilaterally in male high-risk subjects. Right-hemispheric theta-delta coherence was also lower in male high-risk subjects, with female high-risk subjects evidencing lower beta coherence.
CONCLUSIONS: Sleep-EEG abnormalities associated with major depressive disorder are present in never mentally ill individuals at high risk for the illness. These markers may be useful in the prediction of illness and in family genetic studies of mood disorders.

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Year:  2000        PMID: 10745054     DOI: 10.1016/s0006-3223(99)00163-8

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


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8.  Interhemispheric functional connectivity and its relationships with clinical characteristics in major depressive disorder: a resting state fMRI study.

Authors:  Li Wang; Ke Li; Qing-E Zhang; Ya-Wei Zeng; Zhen Jin; Wen-Ji Dai; Yun-Ai Su; Gang Wang; Yun-Long Tan; Xin Yu; Tian-Mei Si
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  9 in total

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