Decoding complete reach and grasp actions from local primary motor cortex populations
| Autor: | John P. Donoghue, Gregory Shakhnarovich, John M. K. Mislow, Carlos E. Vargas-Irwin, Payman Yadollahpour, Michael J. Black |
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| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Male
Computer science Movement Models Neurological Kinematics Wrist Motion capture Article Hand strength medicine Animals Set (psychology) Motor skill Neurons Hand Strength General Neuroscience Motor Cortex Hand Macaca mulatta Biomechanical Phenomena medicine.anatomical_structure Motor Skills Arm Primary motor cortex Neuroscience Psychomotor Performance Motor cortex |
| Popis: | How the activity of populations of cortical neurons generates coordinated multi-joint actions of the arm, wrist and hand is poorly understood. This study combined multielectrode recording techniques with full arm motion capture in order to relate neural activity in primary motor cortex (MI) of macaques (macaca mulatta) to arm, wrist and hand postures during movement. We find that the firing rate of individual MI neurons is typically modulated by the kinematics of multiple joints and that small, local ensembles of MI neurons contain sufficient information to reconstruct 25 measured joint angles (representing an estimated 10 functionally independent degrees of freedom). Beyond showing that the spiking patterns of local MI ensembles represent a rich set of naturalistic movements involving the entire upper limb, the results also suggest that achieving high dimensional reach and grasp actions with neuroprosthetic devices may be possible using small intracortical arrays like those already being tested in human pilot clinical trials. |
| Databáze: | OpenAIRE |
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