Actigraphic Assessment of Motor Activity in Acutely Admitted Inpatients with Bipolar Disorder

• Published in: PloS one Vol. 9; no. 2; p. e89574
• Main Authors: Krane-Gartiser, Karoline, Henriksen, Tone Elise Gjotterud, Morken, Gunnar, Vaaler, Arne, Fasmer, Ole Bernt
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 20.02.2014; Public Library of Science (PLoS)
• Subjects: Actigraphy - methods; Activity patterns; Adult; Affective disorders; Analytical methods; Biology; Bipolar disorder; Bipolar Disorder - physiopathology; Case-Control Studies; Comparative analysis; Complexity; Computer Science; Data processing; Depressive Disorder - physiopathology; Female; Follow-Up Studies; Fourier analysis; Glutamatergic transmission; Hospital patients; Hospitalization - statistics & numerical data; Humans; Inpatients - statistics & numerical data; Intellectual disabilities; Male; Mania; Mathematics; Medical research; Medicine; Medicine, Experimental; Mental depression; Mental disorders; Middle Aged; Morning; Motor activity; Motor Activity - physiology; Nonlinear analysis; Patients; Phase transitions; Prognosis; Rodents; Schizophrenia; Schizophrenia - physiopathology; Studies; Variability; Variance analysis
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0089574

Mania is associated with increased activity, whereas psychomotor retardation is often found in bipolar depression. Actigraphy is a promising tool for monitoring phase shifts and changes following treatment in bipolar disorder. The aim of this study was to compare recordings of motor activity in mania, bipolar depression and healthy controls, using linear and nonlinear analytical methods. Recordings from 18 acutely hospitalized inpatients with mania were compared to 12 recordings from bipolar depression inpatients and 28 healthy controls. 24-hour actigraphy recordings and 64-minute periods of continuous motor activity in the morning and evening were analyzed. Mean activity and several measures of variability and complexity were calculated. Patients with depression had a lower mean activity level compared to controls, but higher variability shown by increased standard deviation (SD) and root mean square successive difference (RMSSD) over 24 hours and in the active morning period. The patients with mania had lower first lag autocorrelation compared to controls, and Fourier analysis showed higher variance in the high frequency part of the spectrum corresponding to the period from 2-8 minutes. Both patient groups had a higher RMSSD/SD ratio compared to controls. In patients with mania we found an increased complexity of time series in the active morning period, compared to patients with depression. The findings in the patients with mania are similar to previous findings in patients with schizophrenia and healthy individuals treated with a glutamatergic antagonist. We have found distinctly different activity patterns in hospitalized patients with bipolar disorder in episodes of mania and depression, assessed by actigraphy and analyzed with linear and nonlinear mathematical methods, as well as clear differences between the patients and healthy comparison subjects.