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. 2016 Jan;13(1):112-20.
doi: 10.4306/pi.2016.13.1.112. Epub 2015 Oct 13.

Distribution of Active and Resting Periods in the Motor Activity of Patients with Depression and Schizophrenia

Ole Bernt Fasmer  1 , Erik Hauge  2 , Jan Øystein Berle  3 , Steven Dilsaver  4 , Ketil J Oedegaard  1
Affiliations

Distribution of Active and Resting Periods in the Motor Activity of Patients with Depression and Schizophrenia

Ole Bernt Fasmer et al. Psychiatry Investig. 2016 Jan.

Abstract

Objective: Alterations of activity are prominent features of the major functional psychiatric disorders. Motor activity patterns are characterized by bursts of activity separated by periods with inactivity. The purpose of the present study has been to analyze such active and inactive periods in patients with depression and schizophrenia.

Methods: Actigraph registrations for 12 days from 24 patients with schizophrenia, 23 with depression and 29 healthy controls.

Results: Patients with schizophrenia and depression have distinctly different profiles with regard to the characterization and distribution of active and inactive periods. The mean duration of active periods is lowest in the depressed patients, and the duration of inactive periods is highest in the patients with schizophrenia. For active periods the cumulative probability distribution, using lengths from 1 to 35 min, follows a straight line on a log-log plot, suggestive of a power law function, and a similar relationship is found for inactive periods, using lengths from 1 to 20 min. For both active and inactive periods the scaling exponent is higher in the depressed compared to the schizophrenic patients.

Conclusion: The present findings add to previously published results, with other mathematical methods, suggesting there are important differences in control systems regulating motor behavior in these two major groups of psychiatric disorders.

Keywords: Actigraphy; Depression; Motor activity; Schizophrenia.

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Figures

Figure 1
Figure 1. A: Log-log plots of cumulative probability (P) vs. duration of active periods (≤250 min) for controls. B: Log-log plots of cumulative probability (P) vs. duration of active periods (≤250 min) for depressed patients. C: Log-log plots of cumulative probability (P) vs. duration of active periods (≤250 min) for schizophrenic patients.
Figure 2
Figure 2. A: Log-log plots of cumulative probability (P) vs. duration of active periods (≤35 min) for controls. The straight line represents the linear regression line, using the least squares method. B: Log-log plots of cumulative probability (P) vs. duration of active periods (≤35 min) for depressed patients. The straight line represents the linear regression line, using the least squares method. C: Log-log plots of cumulative probability (P) vs. duration of active periods (≤35 min) for schizophrenic patients. The straight line represents the linear regression line, using the least squares method.
Figure 3
Figure 3. A: Log-log plots of cumulative probability (P) vs. duration of inactive periods (≤250 min) for controls. B: Log-log plots of cumulative probability (P) vs. duration of inactive periods (≤250 min) for depressed patients. C: Log-log plots of cumulative probability (P) vs. duration of inactive periods (≤250 min) for schizophrenic patients.
Figure 4
Figure 4. A: Log-log plots of cumulative probability (P) vs. duration of inactive periods (≤20 min) for controls (A). The straight line represents the linear regression line, using the least squares method. B: Log-log plots of cumulative probability (P) vs. duration of inactive periods (≤20 min) for depressed patients. The straight line represents the linear regression line, using the least squares method. C: Log-log plots of cumulative probability (P) vs. duration of inactive periods (≤20 min) for schizophrenic patients. The straight line represents the linear regression line, using the least squares method.
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