The goal of this project is to test how to deliver intracortical microstimulation (ICMS) effectively to convey feedback or instructional information for potential use in neural prostheses. Significant research has focused on developing brain machine interfaces (BMIs) as a rehabilitative means for restoring function to individuals with a neurological disorder or injury. One aspect that has been missing in these BMI results is the incorporation of sensory feedback. Proprioceptive feedback proves to be an important component of natural hand and arm movements. Without subconscious proprioceptive feedback informing the brain about position and movements, motor control relies entirely on visual feedback to ensure tasks are executed correctly. For neuroprosthetic devices, feedback delivered to the nervous system eventually will be needed to improve performance and reduce reliance on visual feedback for manipulating the device. This afferent feedback will provide a means of ?closing the loop? to allow the user to make adjustments and provide a sense of embodiment. The present project will utilize a BMI environment in which an avatar hand is controlled voluntarily using neural signals. ICMS will be delivered to convey either feedback information about the movements and positioning of the avatar hand or instructive information about the target configuration for the hand. The choice of where to provide ICMS is based on existing views of how neural information flows during hand movements. To deliver sensory feedback about the movements of the avatar hand, ICMS will be delivered in the primary somatosensory cortex (S1), which has direct projections to the primary motor cortex (M1) and where we know ICMS can be perceived. To deliver instructional information about the target hand configuration, ICMS will be delivered in the ventral premotor cortex (PMv), which also has direct projections to M1 and receives visual information about target objects. In addition, the studies proposed here will test the general hypothesis that ICMS delivered in a specific context produces plastic changes in cortico-cortical connectivity.

Public Health Relevance

The proposed studies will develop a means for providing sensory feedback through cortical stimulation, improving performance of a brain-computer interface. The results of these studies will develop a method of enhancing performance of neural prostheses in individuals with neurological disorders or injuries.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
3F32NS093709-01A1S1
Application #
9420202
Study Section
Program Officer
Chen, Daofen
Project Start
2016-07-01
Project End
2018-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
1
Fiscal Year
2017
Total Cost
$553
Indirect Cost
Name
University of Rochester
Department
Neurosciences
Type
Schools of Dentistry
DUNS #
041294109
City
Rochester
State
NY
Country
United States
Zip Code
14627
Mazurek, Kevin A; Rouse, Adam G; Schieber, Marc H (2018) Mirror Neuron Populations Represent Sequences of Behavioral Epochs During Both Execution and Observation. J Neurosci 38:4441-4455
Mazurek, Kevin A; Schieber, Marc H (2017) Injecting Instructions into Premotor Cortex. Neuron 96:1282-1289.e4