Rxivist logo

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

By Robert D. Flint, Matthew C. Tate, Kejun Li, Jessica W Templer, Joshua M. Rosenow, Chethan Pandarinath, Marc W. Slutzky

Posted 19 Feb 2020
bioRxiv DOI: 10.1101/2020.02.18.952945

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.

Download data

  • Downloaded 190 times
  • Download rankings, all-time:
    • Site-wide: 71,367 out of 89,671
    • In neuroscience: 12,731 out of 15,953
  • Year to date:
    • Site-wide: 17,868 out of 89,671
  • Since beginning of last month:
    • Site-wide: 50,991 out of 89,671

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News