Journal
JOURNAL OF NEUROSCIENCE
Volume 37, Issue 7, Pages 1733-1746Publisher
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.1537-16.2016
Keywords
dorsal premotor cortex; generalized linear model; reach to grasp; single cell encoding; ventral premotor cortex
Categories
Funding
- National Institutes of Health (National Institute of Neurological Disorders and Stroke) [RO1 NS045853]
- National Institutes of Health (National Institute of Dental and Craniofacial Research) [RO1 DE023816]
Ask authors/readers for more resources
Classically, it has been hypothesized that reach-to-grasp movements arise from two discrete parietofrontal cortical networks. As part of these networks, the dorsal premotor cortex (PMd) has been implicated in the control of reaching movements of the arm, whereas the ventral premotor cortex (PMv) has been associated with the control of grasping movements of the hand. Recent studies have shown that such a strict delineation of function along anatomical boundaries is unlikely, partly because reaching to different locations can alter distal hand kinematics and grasping different objects can affect kinematics of the proximal arm. Here, we used chronically implanted multi-electrode arrays to record unit-spiking activity in both PMd and PMv simultaneously while rhesus macaques engaged in a reach-to-grasp task. Generalized linear models were used to predict the spiking activity of cells in both areas as a function of different kinematic parameters, as well as spike history. To account for the influence of reaching on hand kinematics and vice versa, we applied demixed principal components analysis to define kinematics synergies that maximized variance across either different object locations or grip types. We found that single cells in both PMd and PMv encode the kinematics of both reaching and grasping synergies, suggesting that this classical division of reach and grasp in PMd and PMv, respectively, does not accurately reflect the encoding preferences of cells in those areas.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available