AI Article Synopsis

  • Researchers are exploring closed-loop neural interface technology to enhance deep brain stimulation, prosthetics, and epilepsy treatments using neural decoding and electrical stimulation feedback.
  • In a rat study, three subjects were trained to control motor activity in response to visual cortex stimulation for food rewards, using feedback to gauge their performance.
  • The outcome underscores the potential of this model for advancing closed-loop neural device technology by providing direct feedback on brain activity during tasks.

Article Abstract

Closed-loop neural interface technology that combines neural ensemble decoding with simultaneous electrical microstimulation feedback is hypothesized to improve deep brain stimulation techniques, neuromotor prosthetic applications, and epilepsy treatment. Here we describe our iterative results in a rat model of a sensory and motor neurophysiological feedback control system. Three rats were chronically implanted with microelectrode arrays in both the motor and visual cortices. The rats were subsequently trained over a period of weeks to modulate their motor cortex ensemble unit activity upon delivery of intra-cortical microstimulation (ICMS) of the visual cortex in order to receive a food reward. Rats were given continuous feedback via visual cortex ICMS during the response periods that was representative of the motor cortex ensemble dynamics. Analysis revealed that the feedback provided the animals with indicators of the behavioral trials. At the hardware level, this preparation provides a tractable test model for improving the technology of closed-loop neural devices.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2941890PMC
http://dx.doi.org/10.1109/TNSRE.2010.2041363DOI Listing

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