期刊
PSYCHIATRY RESEARCH
卷 270, 期 -, 页码 418-425出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.psychres.2018.10.004
关键词
Actigraphy; Non-linear analysis; Psychosis; Schizophrenia; Affective disorders; Diagnosis
类别
资金
- St. Olavs University Hospital
- NTNU - Norwegian University of Science and Technology
- Liaison Committee for education, research and innovation in Central Norway
- Fonna Regional Health Authority
- Western Norway Regional Health Authority
- MoodNet at Haukeland University Hospital, Bergen, Norway
The purpose of this study was to compare 24-h motor activity patterns between and within three groups of acutely admitted inpatients with schizophrenia and psychotic disorders (n = 28), bipolar mania (n = 18) and motor-retarded unipolar depression (n = 25) and one group of non-hospitalized healthy individuals (n = 28). Motor activity was measured by wrist actigraphy, and analytical approaches using linear and non-linear variability and irregularity measures were undertaken. In between-group comparisons, the schizophrenia group showed more irregular activity patterns than depression cases and healthy individuals. The schizophrenia and mania cases were clinically similar with respect to high prevalence of psychotic symptoms. Although they could not be separated by a formal statistical test, the schizophrenia cases showed more normal amplitudes in morning to evening mean activity and activity variability. Schizophrenia constituted an independent entity in terms of motor activation that could be distinguished from the other diagnostic groups of psychotic and non-psychotic affective disorders. Despite limitations such as small subgroups, short recordings and confounding effects of medication/hospitalization, these results suggest that detailed temporal analysis of motor activity patterns can identify similarities and differences between prevalent functional psychiatric disorders. For this purpose, irregularity measures seem particularly useful to characterize psychotic symptoms and should be explored in larger samples with longer-term recordings, while searching for underlying mechanisms of motor activity disturbances.
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