Decoding gripping force based on local field potentials recorded from subthalamic nucleus in humans

  1. Huiling Tan  Is a corresponding author
  2. Alek Pogosyan
  3. Keyoumars Ashkan
  4. Alexander L Green
  5. Tipu Aziz
  6. Thomas Foltynie
  7. Patricia Limousin
  8. Ludvic Zrinzo
  9. Marwan Hariz
  10. Peter Brown
  1. University of Oxford, United Kingdom
  2. Kings College London, United Kingdom
  3. UCL Institute of Neurology, United Kingdom

Abstract

The basal ganglia are known to be involved in the planning, execution and control of gripping force and movement vigour. Here we aim to define the nature of the basal ganglia control signal for force and to decode gripping force based on local field potential (LFP) activities recorded from the subthalamic nucleus (STN) in patients with deep brain stimulation (DBS) electrodes. We found that STN LFP activities in the gamma (55-90 Hz) and beta (13-30 Hz) bands were most informative about gripping force, and that a first order dynamic linear model with these STN LFP features as inputs can be used to decode the temporal profile of gripping force. Our results enhance the understanding of how the basal ganglia control gripping force, and also suggest that deep brain LFPs could potentially be used to decode movement parameters related to force and movement vigour for the development of advanced human-machine interfaces.

Article and author information

Author details

  1. Huiling Tan

    Nuffield Department of Clinical Neuroscience; 2. Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom
    For correspondence
    huiling.tan@ndcn.ox.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8038-3029
  2. Alek Pogosyan

    Nuffield Department of Clinical Neuroscience; 2. Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Keyoumars Ashkan

    Department of Neurosurgery, Kings College Hospital, Kings College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Alexander L Green

    Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  5. Tipu Aziz

    Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  6. Thomas Foltynie

    Sobell Department of Motor Neuroscience & Movement Disorders, UCL Institute of Neurology, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  7. Patricia Limousin

    Sobell Department of Motor Neuroscience & Movement Disorders, UCL Institute of Neurology, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  8. Ludvic Zrinzo

    Sobell Department of Motor Neuroscience & Movement Disorders, UCL Institute of Neurology, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  9. Marwan Hariz

    Sobell Department of Motor Neuroscience & Movement Disorders, UCL Institute of Neurology, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  10. Peter Brown

    Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5201-3044

Funding

European Commission (FP7-ICT-610391)

  • Huiling Tan
  • Alek Pogosyan
  • Peter Brown

Medical Research Council (Unit Grant)

  • Huiling Tan
  • Alek Pogosyan
  • Peter Brown

National Institute for Health Research

  • Peter Brown

Oxford biomedical research centre

  • Peter Brown

Rosetrees Trust

  • Peter Brown

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: Informed consent and consent to publish was obtained from patients before they took part in the study, which was approved by Oxfordshire Research Ethics Committee.

Copyright

© 2016, Tan et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Huiling Tan
  2. Alek Pogosyan
  3. Keyoumars Ashkan
  4. Alexander L Green
  5. Tipu Aziz
  6. Thomas Foltynie
  7. Patricia Limousin
  8. Ludvic Zrinzo
  9. Marwan Hariz
  10. Peter Brown
(2016)
Decoding gripping force based on local field potentials recorded from subthalamic nucleus in humans
eLife 5:e19089.
https://doi.org/10.7554/eLife.19089

Share this article

https://doi.org/10.7554/eLife.19089

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