IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0089574.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0089574
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089574&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0089574?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Premananda Indic & Paola Salvatore & Carlo Maggini & Stefano Ghidini & Gabriella Ferraro & Ross J Baldessarini & Greg Murray, 2011. "Scaling Behavior of Human Locomotor Activity Amplitude: Association with Bipolar Disorder," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-8, May.
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0089574. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.