Progress in NeurobiologyNeurosciencePeer-reviewed journal article
Shared population-level dynamics in monkey premotor cortex during solo action, joint action and action observation
Giovanni PezzuloiD, Francesco DonnarummaiD, Simone Ferrari-TonioloiD, Paul CisekiD, Alexandra Battaglia‐MayeriD
Abstract
Studies of neural population dynamics of cell activity from monkey motor areas during reaching show that it mostly represents the generation and timing of motor behavior. We compared neural dynamics in dorsal premotor cortex (PMd) during the performance of a visuomotor task executed individually or cooperatively and during an observation task. In the visuomotor conditions, monkeys applied isometric forces on a joystick to guide a visual cursor in different directions, either alone or jointly with a conspecific. In the observation condition, they observed the cursors motion guided by the partner. We found that in PMd neural dynamics were widely shared across action execution and observation, with cursor motion directions more accurately discriminated than task types. This suggests that PMd encodes spatial aspects irrespective of specific behavioral demands. Furthermore, our results suggest that largest components of premotor population dynamics, which have previously been suggested to reflect a transformation from planning to movement execution, may rather reflect higher cognitive-motor processes, such as the covert representation of actions and goals shared across tasks that require movement and those that do not. HIGHLIGHTSO_LIIn PMd neural dynamics is shared across action execution and mere observation C_LIO_LITask directional features are more accurately discriminated than action types C_LIO_LISpatial aspects are encoded in PMd independently from specific behavioral demands C_LIO_LIPMd dynamics largely reflect higher cognitive-motor processes rather than strictly motor-related functions C_LI
- organism: non-human primate
- assay: electronic health records
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 14
- FWCI
- 1.71
- Field percentile
- top 15%
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