Work

Daily Actigraphy Profiles Distinguish Depressive and Interepisode States in Bipolar Disorder

Year: 2016

Type: article

Abstract: Disruptions in activity are core features of mood states in bipolar disorder (BD). This study sought to identify activity patterns that discriminate between mood states in BD. Locomotor activity was collected using actigraphy for six weeks in participants with inter-episode BD type I (n=37) or participants with no lifetime mood disorders (n=39). The 24-hour activity pattern of each participant-day was characterized and within-person differences in activity patterns were examined across mood states. Results show 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. Since activity can be monitored non-invasively for extended time periods, activity pattern identification may be leveraged to detect mood states in BD, thereby providing more immediate delivery of care.

Source: Clinical Psychological Science

DOI: 10.1177/2167702615604613

Authors: Anda Gershon, Nilam Ram, Sheri L. Johnson, Allison G. Harvey, Jamie M. Zeitzer

Institutions: Stanford Medicine, Stanford University, Pennsylvania State University, University of California, Berkeley, VA Palo Alto Health Care System

Language: English

Topic: Bipolar Disorder and Treatment

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Mental Health, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development