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

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  • Karoline Krane-Gartiser
  • Tone Elise Gjotterud Henriksen
  • Gunnar Morken
  • Arne Vaaler
  • Ole Bernt Fasmer

Abstract

Introduction: 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. Materials and 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. Results: 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. Conclusion: 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.

Suggested Citation

  • Karoline Krane-Gartiser & Tone Elise Gjotterud Henriksen & Gunnar Morken & Arne Vaaler & Ole Bernt Fasmer, 2014. "Actigraphic Assessment of Motor Activity in Acutely Admitted Inpatients with Bipolar Disorder," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-9, February.
  • Handle: RePEc:plo:pone00:0089574
    DOI: 10.1371/journal.pone.0089574
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    References listed on IDEAS

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    1. Erik R Hauge & Jan Øystein Berle & Ketil J Oedegaard & Fred Holsten & Ole Bernt Fasmer, 2011. "Nonlinear Analysis of Motor Activity Shows Differences between Schizophrenia and Depression: A Study Using Fourier Analysis and Sample Entropy," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-10, January.
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    Cited by:

    1. Petter Jakobsen & Andrea Stautland & Michael Alexander Riegler & Ulysse Côté-Allard & Zahra Sepasdar & Tine Nordgreen & Jim Torresen & Ole Bernt Fasmer & Ketil Joachim Oedegaard, 2022. "Complexity and variability analyses of motor activity distinguish mood states in bipolar disorder," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-19, January.
    2. Andrew Leroux & Junrui Di & Ekaterina Smirnova & Elizabeth J Mcguffey & Quy Cao & Elham Bayatmokhtari & Lucia Tabacu & Vadim Zipunnikov & Jacek K Urbanek & Ciprian Crainiceanu, 2019. "Organizing and Analyzing the Activity Data in NHANES," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(2), pages 262-287, July.
    3. Petter Jakobsen & Enrique Garcia-Ceja & Michael Riegler & Lena Antonsen Stabell & Tine Nordgreen & Jim Torresen & Ole Bernt Fasmer & Ketil Joachim Oedegaard, 2020. "Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-16, August.
    4. Erlend Eindride Fasmer & Ole Bernt Fasmer & Jan Øystein Berle & Ketil J Oedegaard & Erik R Hauge, 2018. "Graph theory applied to the analysis of motor activity in patients with schizophrenia and depression," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-19, April.
    5. 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 &, 2020. "Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-18, November.

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