4.4 Article

Daily Actigraphy Profiles Distinguish Depressive and Interepisode States in Bipolar Disorder

Journal

CLINICAL PSYCHOLOGICAL SCIENCE
Volume 4, Issue 4, Pages 641-650

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/2167702615604613

Keywords

bipolar disorder; depression; activity; actigraphy; circadian rhythms

Funding

  1. National Institute of Mental Health Ruth L. Kirschstein National Research Service Award [F32-MH76339]
  2. National Institute of Mental Health Research Scientist Development Award [K01-MH100433]
  3. National Institute of Mental Health [R34-MH080958]
  4. National Institute of Child Health and Human Development [R01-HD076994, R24-HD041025]
  5. Center for Advanced Study in the Behavioral Sciences at Stanford University
  6. National Institute for Research Resources
  7. National Center for Advancing Translational Sciences [UL-TR000127]

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Disruptions in activity are core features of mood states in bipolar disorder (BD). In this study, we sought to identify activity patterns that discriminate between mood states in BD. Locomotor activity was collected by using actigraphy for 6 weeks in participants with interepisode BD Type I (n = 37) or participants with no lifetime mood disorders (n = 39). The 24-hr activity pattern of each participant-day was characterized and within-person differences in activity patterns were examined across mood states. Results showed that among participants with BD, depressive days are distinguished from other mood states by an overall lower activity level and a pattern of later activity onset, a midday elevation of activity, and low evening activity. No distinct within-person activity patterns were found for hypomanic/manic days. Given that activity can be monitored noninvasively for extended time periods, activity pattern identification may be leveraged to detect mood states in BD, thereby providing more immediate delivery of care.

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