Frontiers in Neuroscience (Mar 2023)

Neuronal representation of bimanual arm motor imagery in the motor cortex of a tetraplegia human, a pilot study

  • Dongrong Lai,
  • Dongrong Lai,
  • Dongrong Lai,
  • Zijun Wan,
  • Zijun Wan,
  • Zijun Wan,
  • Jiafan Lin,
  • Jiafan Lin,
  • Jiafan Lin,
  • Li Pan,
  • Li Pan,
  • Li Pan,
  • Feixiao Ren,
  • Feixiao Ren,
  • Junming Zhu,
  • Junming Zhu,
  • Jianmin Zhang,
  • Jianmin Zhang,
  • Yueming Wang,
  • Yueming Wang,
  • Yueming Wang,
  • Yaoyao Hao,
  • Yaoyao Hao,
  • Yaoyao Hao,
  • Kedi Xu,
  • Kedi Xu,
  • Kedi Xu,
  • Kedi Xu

DOI
https://doi.org/10.3389/fnins.2023.1133928
Journal volume & issue
Vol. 17

Abstract

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IntroductionHow the human brain coordinates bimanual movements is not well-established.MethodsHere, we recorded neural signals from a paralyzed individual’s left motor cortex during both unimanual and bimanual motor imagery tasks and quantified the representational interaction between arms by analyzing the tuning parameters of each neuron.ResultsWe found a similar proportion of neurons preferring each arm during unimanual movements, however, when switching to bimanual movements, the proportion of contralateral preference increased to 71.8%, indicating contralateral lateralization. We also observed a decorrelation process for each arm’s representation across the unimanual and bimanual tasks. We further confined that these changes in bilateral relationships are mainly caused by the alteration of tuning parameters, such as the increased bilateral preferred direction (PD) shifts and the significant suppression in bilateral modulation depths (MDs), especially the ipsilateral side.DiscussionThese results contribute to the knowledge of bimanual coordination and thus the design of cutting-edge bimanual brain-computer interfaces.

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