IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0021669.html
   My bibliography  Save this article

Motor Skill Learning, Retention, and Control Deficits in Parkinson's Disease

Author

Listed:
  • Lisa Katharina Pendt
  • Iris Reuter
  • Hermann Müller

Abstract

Parkinson's disease, which affects the basal ganglia, is known to lead to various impairments of motor control. Since the basal ganglia have also been shown to be involved in learning processes, motor learning has frequently been investigated in this group of patients. However, results are still inconsistent, mainly due to skill levels and time scales of testing. To bridge across the time scale problem, the present study examined de novo skill learning over a long series of practice sessions that comprised early and late learning stages as well as retention. 19 non-demented, medicated, mild to moderate patients with Parkinson's disease and 19 healthy age and gender matched participants practiced a novel throwing task over five days in a virtual environment where timing of release was a critical element. Six patients and seven control participants came to an additional long-term retention testing after seven to nine months. Changes in task performance were analyzed by a method that differentiates between three components of motor learning prominent in different stages of learning: Tolerance, Noise and Covariation. In addition, kinematic analysis related the influence of skill levels as affected by the specific motor control deficits in Parkinson patients to the process of learning. As a result, patients showed similar learning in early and late stages compared to the control subjects. Differences occurred in short-term retention tests; patients' performance constantly decreased after breaks arising from poorer release timing. However, patients were able to overcome the initial timing problems within the course of each practice session and could further improve their throwing performance. Thus, results demonstrate the intact ability to learn a novel motor skill in non-demented, medicated patients with Parkinson's disease and indicate confounding effects of motor control deficits on retention performance.

Suggested Citation

  • Lisa Katharina Pendt & Iris Reuter & Hermann Müller, 2011. "Motor Skill Learning, Retention, and Control Deficits in Parkinson's Disease," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-10, July.
  • Handle: RePEc:plo:pone00:0021669
    DOI: 10.1371/journal.pone.0021669
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0021669
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0021669&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0021669?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. Anitha Pasupathy & Earl K. Miller, 2005. "Different time courses of learning-related activity in the prefrontal cortex and striatum," Nature, Nature, vol. 433(7028), pages 873-876, February.
    Full references (including those not matched with items on IDEAS)

    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. Richard Freund & Marta Favara & Catherine Porter & Jere Behrman, 2024. "Social Protection and Foundational Cognitive Skills during Adolescence: Evidence from a Large Public Works Program," The World Bank Economic Review, World Bank, vol. 38(2), pages 296-318.
    2. Makoto Ito & Kenji Doya, 2015. "Parallel Representation of Value-Based and Finite State-Based Strategies in the Ventral and Dorsal Striatum," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-25, November.
    3. Francesco Ceccarelli & Lorenzo Ferrucci & Fabrizio Londei & Surabhi Ramawat & Emiliano Brunamonti & Aldo Genovesio, 2023. "Static and dynamic coding in distinct cell types during associative learning in the prefrontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. Johannes Algermissen & Jennifer C. Swart & René Scheeringa & Roshan Cools & Hanneke E. M. den Ouden, 2024. "Prefrontal signals precede striatal signals for biased credit assignment in motivational learning biases," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    5. Naveen Sendhilnathan & Anna Ipata & Michael E. Goldberg, 2021. "Mid-lateral cerebellar complex spikes encode multiple independent reward-related signals during reinforcement learning," Nature Communications, Nature, vol. 12(1), pages 1-10, December.

    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:pone00:0021669. 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.