| Title | Cortical representation of ipsilateral arm movements in monkey and man. | | Author(s) | Ganguly K, Secundo L, Ranade G, Orsborn A, Chang EF, Dimitrov DF, Wallis JD, Barbaro NM, Knight RT, Carmena JM | | Institution | Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California 94720, USA. | | Source | J Neurosci 2009 Oct 14; 29(41):12948-56. | | MeSH | Action Potentials
Adolescent
Adult
Analysis of Variance
Animals
Arm
Brain Mapping
Electroencephalography
Electromyography
Evoked Potentials, Motor
Functional Laterality
Humans
Macaca mulatta
Male
Models, Neurological
Motor Cortex
Movement
Predictive Value of Tests
Task Performance and Analysis
User-Computer Interface
Young Adult
| | Abstract | A fundamental organizational principle of the primate motor system is cortical control of contralateral limb movements. Motor areas also appear to play a role in the control of ipsilateral limb movements. Several studies in monkeys have shown that individual neurons in primary motor cortex (M1) may represent, on average, the direction of movements of the ipsilateral arm. Given the increasing body of evidence demonstrating that neural ensembles can reliably represent information with a high temporal resolution, here we characterize the distributed neural representation of ipsilateral upper limb kinematics in both monkey and man. In two macaque monkeys trained to perform center-out reaching movements, we found that the ensemble spiking activity in M1 could continuously represent ipsilateral limb position. Interestingly, this representation was more correlated with joint angles than hand position. Using bilateral electromyography recordings, we excluded the possibility that postural or mirror movements could exclusively account for these findings. In addition, linear methods could decode limb position from cortical field potentials in both monkeys. We also found that M1 spiking activity could control a biomimetic brain-machine interface reflecting ipsilateral kinematics. Finally, we recorded cortical field potentials from three human subjects and also consistently found evidence of a neural representation for ipsilateral movement parameters. Together, our results demonstrate the presence of a high-fidelity neural representation for ipsilateral movement and illustrates that it can be successfully incorporated into a brain-machine interface. | | Language | eng | | Pub Type(s) | Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
| | PubMed ID | 19828809 |
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