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Cognition in Sensorimotor Control: Interfacing With the Posterior Parietal Cortex.

Srinivas Chivukula1, Matiar Jafari1, Tyson Aflalo1

  • 1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.

Frontiers in Neuroscience
|March 16, 2019
PubMed
Summary

Brain-computer interfaces can help paralysis patients regain movement. Targeting the posterior parietal cortex (PPC) may offer enhanced cognitive control for neuroprosthetics, improving function.

Keywords:
PPCcoordinate transformationsdecision makingmotorneuroprostheticsperipersonal spaceposterior parietal cortex

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Medicine

Background:

  • Paralysis affects millions globally due to disrupted neural pathways.
  • Preserved cortical architecture in patients allows for movement planning despite execution inability.
  • Current brain-machine interfaces (BMIs) primarily use motor cortex (M1) signals.

Purpose of the Study:

  • To explore the potential of the posterior parietal cortex (PPC) for enhanced neuroprosthetic control.
  • To review cognitive functions encoded in the PPC and their relevance to motor neuroprosthetics.
  • To introduce the concept of cognitive neural prosthetics (CNPs).

Main Methods:

  • Review of existing literature on cognitive functions within the PPC.
  • Analysis of neural representations of these cognitive functions.
  • Discussion of the relevance of PPC signals for motor neuroprosthetics.

Main Results:

  • The PPC encodes higher-order cognitive processes beyond motor execution, including planning and learning.
  • These cognitive functions are crucial for sensorimotor control and may offer superior control signals.
  • PPC signals hold promise for developing advanced neuroprosthetic devices.

Conclusions:

  • The PPC is a promising target for developing cognitive neural prosthetics (CNPs).
  • Leveraging PPC signals could lead to more intuitive and effective neuroprosthetic control.
  • Further research into PPC functions is essential for advancing neuroprosthetic technology.