Literature DB >> 30312969

Motor activity patterns in acute schizophrenia and other psychotic disorders can be differentiated from bipolar mania and unipolar depression.

Karoline Krane-Gartiser1, Tone E G Henriksen2, Gunnar Morken3, Arne E Vaaler3, Ole Bernt Fasmer4.   

Abstract

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.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Actigraphy; Affective disorders; Diagnosis; Non-linear analysis; Psychosis; Schizophrenia

Mesh:

Year:  2018        PMID: 30312969     DOI: 10.1016/j.psychres.2018.10.004

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  4 in total

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Authors:  Priyanka Panchal; Gabriela de Queiroz Campos; Danielle A Goldman; Randy P Auerbach; Kathleen R Merikangas; Holly A Swartz; Anjali Sankar; Hilary P Blumberg
Journal:  Front Psychiatry       Date:  2022-05-23       Impact factor: 5.435

3.  Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory.

Authors:  Ole Bernt Fasmer; Erlend Eindride Fasmer; Kristin Mjeldheim; Wenche Førland; Vigdis Elin Giæver Syrstad; Petter Jakobsen; Jan Øystein Berle; Tone E G Henriksen; Zahra Sepasdar; Erik R Hauge; Ketil J Oedegaard
Journal:  PLoS One       Date:  2020-11-09       Impact factor: 3.240

4.  Actigraphic recording of motor activity in depressed inpatients: a novel computational approach to prediction of clinical course and hospital discharge.

Authors:  Ignacio Peis; Javier-David López-Moríñigo; M Mercedes Pérez-Rodríguez; Maria-Luisa Barrigón; Marta Ruiz-Gómez; Antonio Artés-Rodríguez; Enrique Baca-García
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379

  4 in total

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