Title :
Development of Closed-Loop Neural Interface Technology in a Rat Model: Combining Motor Cortex Operant Conditioning With Visual Cortex Microstimulation
Author :
Marzullo, Timothy Charles ; Lehmkuhle, Mark J. ; Gage, Gregory J. ; Kipke, Daryl R.
Author_Institution :
Neurosci. Program, Univ. of Michigan in Ann Arbor, Ann Arbor, MI, USA
fDate :
4/1/2010 12:00:00 AM
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.
Keywords :
biomedical electrodes; brain models; closed loop systems; medical control systems; neural nets; neurophysiology; visual evoked potentials; closed-loop neural interface technology; intra-cortical microstimulation; microelectrode arrays; motor cortex operant conditioning; motor neurophysiological feedback control system; neural ensemble decoding; rat model; sensory neurophysiological feedback control system; simultaneous electrical microstimulation feedback; visual cortex microstimulation; Closed-loop control; microstimulation; motor cortex; operant conditioning; rat; visual cortex; Algorithms; Animals; Conditioning, Operant; Data Interpretation, Statistical; Deep Brain Stimulation; Electric Stimulation; Electrophysiology; Male; Microelectrodes; Motor Cortex; Rats; Rats, Long-Evans; Somatosensory Cortex; User-Computer Interface; Visual Cortex;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2010.2041363