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Multi-Scale Motility Amplitude Associated with Suicidal Thoughts in Major Depression

Overview of attention for article published in PLOS ONE, June 2012
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Title
Multi-Scale Motility Amplitude Associated with Suicidal Thoughts in Major Depression
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038761
Pubmed ID
Authors

Premananda Indic, Greg Murray, Carlo Maggini, Mario Amore, Tiziana Meschi, Loris Borghi, Ross J. Baldessarini, Paola Salvatore

Abstract

Major depression occurs at high prevalence in the general population, often starts in juvenile years, recurs over a lifetime, and is strongly associated with disability and suicide. Searches for biological markers in depression may have been hindered by assuming that depression is a unitary and relatively homogeneous disorder, mainly of mood, rather than addressing particular, clinically crucial features or diagnostic subtypes. Many studies have implicated quantitative alterations of motility rhythms in depressed human subjects. Since a candidate feature of great public-health significance is the unusually high risk of suicidal behavior in depressive disorders, we studied correlations between a measure (vulnerability index [VI]) derived from multi-scale characteristics of daily-motility rhythms in depressed subjects (n = 36) monitored with noninvasive, wrist-worn, electronic actigraphs and their self-assessed level of suicidal thinking operationalized as a wish to die. Patient-subjects had a stable clinical diagnosis of bipolar-I, bipolar-II, or unipolar major depression (n = 12 of each type). VI was associated inversely with suicidal thinking (r = -0.61 with all subjects and r = -0.73 with bipolar disorder subjects; both p<0.0001) and distinguished patients with bipolar versus unipolar major depression with a sensitivity of 91.7% and a specificity of 79.2%. VI may be a useful biomarker of characteristic features of major depression, contribute to differentiating bipolar and unipolar depression, and help to detect risk of suicide. An objective biomarker of suicide-risk could be advantageous when patients are unwilling or unable to share suicidal thinking with clinicians.

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Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Bachelor 7 12%
Other 4 7%
Professor 4 7%
Student > Ph. D. Student 4 7%
Other 8 14%
Unknown 21 36%
Readers by discipline Count As %
Medicine and Dentistry 16 28%
Psychology 12 21%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Economics, Econometrics and Finance 1 2%
Other 5 9%
Unknown 22 38%