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Distinct representations of finger movement and force in human motor and premotor cortices

View ORCID ProfileRobert D. Flint, Matthew C. Tate, Kejun Li, Jessica W. Templer, Joshua M. Rosenow, Chethan Pandarinath, Marc W. Slutzky
doi: https://doi.org/10.1101/2020.02.18.952945
Robert D. Flint
1Department of Neurology, Northwestern University, Chicago IL 60611, USA
2Shirley Ryan AbilityLab, Northwestern University, Chicago IL 60611, USA
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  • ORCID record for Robert D. Flint
  • For correspondence: r-flint@northwestern.edu
Matthew C. Tate
1Department of Neurology, Northwestern University, Chicago IL 60611, USA
3Department of Neurological Surgery, Northwestern University, Chicago IL 60611, USA
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Kejun Li
4Computation and Neural Systems Program, California Institute of Technology, Pasadena, California 91125, USA
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Jessica W. Templer
1Department of Neurology, Northwestern University, Chicago IL 60611, USA
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Joshua M. Rosenow
1Department of Neurology, Northwestern University, Chicago IL 60611, USA
3Department of Neurological Surgery, Northwestern University, Chicago IL 60611, USA
5Department of Physical Medicine & Rehabilitation, Northwestern University, Chicago IL 60611, USA
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Chethan Pandarinath
6Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta GA 30322, USA
7Department of Neurosurgery, Emory University, Atlanta GA 30322, USA
8Emory Neuromodulation and Technology Innovation Center (ENTICe), Emory University, Atlanta GA 30322, USA
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Marc W. Slutzky
1Department of Neurology, Northwestern University, Chicago IL 60611, USA
2Shirley Ryan AbilityLab, Northwestern University, Chicago IL 60611, USA
5Department of Physical Medicine & Rehabilitation, Northwestern University, Chicago IL 60611, USA
9Department of Physiology, Northwestern University, Chicago IL 60611, USA
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Abstract

The ability to grasp and manipulate objects requires controlling both finger movement kinematics and isometric force. Previous work suggests that these behavioral modes are controlled separately, but it is unknown whether the cerebral cortex represents them differently. Here, we investigated this question by recording high-density electrocorticography from the motor and premotor cortices of seven human subjects performing a sequential movement-force motor task. We decoded finger movement (0.7±0.3 fractional variance account for; FVAF) and force (0.7±0.2 FVAF) with high accuracy, yet found different spatial representations. We also found clear distinctions in electrocorticographic activity by using deep learning methods to uncover state-space representations, and by developing a new metric, the neural vector angle. Thus, state-space techniques can help to investigate broad cortical networks. Finally, we were able to classify the behavioral mode from neural signals with high accuracy (90±6%). Thus, finger movement and force have distinct representations in motor/premotor cortices. This will inform our understanding of the neural control of movement as well as the design of grasp brain-machine interfaces.

Footnotes

  • Conflict of interest: The authors declare no competing financial interests

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted February 19, 2020.
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Distinct representations of finger movement and force in human motor and premotor cortices
Robert D. Flint, Matthew C. Tate, Kejun Li, Jessica W. Templer, Joshua M. Rosenow, Chethan Pandarinath, Marc W. Slutzky
bioRxiv 2020.02.18.952945; doi: https://doi.org/10.1101/2020.02.18.952945
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Distinct representations of finger movement and force in human motor and premotor cortices
Robert D. Flint, Matthew C. Tate, Kejun Li, Jessica W. Templer, Joshua M. Rosenow, Chethan Pandarinath, Marc W. Slutzky
bioRxiv 2020.02.18.952945; doi: https://doi.org/10.1101/2020.02.18.952945

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