The present application's long- term objective is to extend fundamental knowledge about the neural control of individuated movements, those in which one body part moves relatively independently of the motion or posture of other body parts. Individuated movements i) are the first lost and last recovered when lesions affect the motor cortex or corticospinal tract; ii) play an increasingly important role in the motor repertoire of higher mammals, especially primates, in particular man; and iii) are used in many modes of cognitive expression, such as speaking (mouth) or playing a musical instrument (fingers). The proposed studies of individuated finger movements specifically aim to test two hypotheses. First,that generation of each individuated finger movement involves the activity of neurons distributed throughout the motor cortex (M1) hand area. Second, that some, but all, non primary cortical motor areas (NPMA) participate in visually-cued finger movement with each participating AMA making a different contribution, distinct from that of M1. To test these hypotheses, rhesus monkeys will be trained to perform visually-cued individuated movements of each finger of the right hand and of the wrist. As a trained monkey performs these movements, single neuron activity will be recorded in Ml and in concurrently with EMG activity from a number of muscles involved in the production of finger - movements. Spike -triggered averaging (SpTA) of EMG activity will be used to infer the strength of connections from each neuron to each muscle. These data on) each neurons's activity during finger movements and on its inferred connections to muscles will be incorporated in a model of the neural control of finger movements. Single neuron activity in different -As will be compared to distinguish the roles of these areas. Finally, Ml and NPMAI each will be reversibly inactivated by intracortical injection of the GABA agonist, muscimol, to determine: i) whether inactivation of different regions of the MI hand area impairs movements of different fingers, and ii) whether inactivation of different has different effects on visually-cued finger movements.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS027686-09
Application #
2393099
Study Section
Neurology A Study Section (NEUA)
Program Officer
Broman, Sarah H
Project Start
1989-09-29
Project End
1999-01-31
Budget Start
1997-04-01
Budget End
1999-01-31
Support Year
9
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of Rochester
Department
Neurology
Type
Schools of Dentistry
DUNS #
208469486
City
Rochester
State
NY
Country
United States
Zip Code
14627
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Acharya, Soumyadipta; Tenore, Francesco; Aggarwal, Vikram et al. (2008) Decoding individuated finger movements using volume-constrained neuronal ensembles in the M1 hand area. IEEE Trans Neural Syst Rehabil Eng 16:15-23
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Aggarwal, Vikram; Singhal, Girish; He, Jiping et al. (2008) Towards closed-loop decoding of dexterous hand movements using a virtual integration environment. Conf Proc IEEE Eng Med Biol Soc 2008:1703-6
Aggarwal, Vikram; Acharya, Soumyadipta; Tenore, Francesco et al. (2008) Asynchronous decoding of dexterous finger movements using M1 neurons. IEEE Trans Neural Syst Rehabil Eng 16:3-14

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