Hand position fields of neurons in the premotor cortex of macaques during natural reaching
While hippocampus represents spatial information through place cells for body navigation, whether motor areas employ a similar framework to guide hand reaching remains unknown. Here, we investigate tuning properties in dorsal premotor cortex (PMd) during naturalistic reach-and-grasp tasks in four monkeys. We find that 22% (132/601) of PMd neurons increase firing rates when the monkey's hand occupies specific positions in space, forming the position fields. These cells represent the hand position highly efficiently, achieving ~80% accuracy for decoding hand trajectories with only 50 most dedicated position tuned cells ( ~ 10% of all recorded neurons). The hand position is co-represented with hand moving direction, speed, and reward location in the same population of PMd neurons, forming a mixed-selective framework to integrate positional and kinematic information. Our findings suggest field-like positional coding may be a mechanism shared across brain regions for spatial representation in goal-directed movements, including body navigation and forelimb reaching.
Authors
- Shanshan Cao (ORCID: https://orcid.org/0000-0002-0312-5517)
- Tianzi Jiang (ORCID: https://orcid.org/0000-0001-9531-291X)
- Zhiping Zhao (ORCID: https://orcid.org/0000-0002-5915-216X)
- Jianwen Gu (ORCID: https://orcid.org/0000-0002-1868-1276)
- Xinyong Han
- Shan Yu (ORCID: https://orcid.org/0000-0002-9008-6658)
Institutions
- Jilin University (CN)
- Chinese Academy of Sciences (CN)
- Chinese PLA General Hospital (CN)
- Center for Excellence in Brain Science and Intelligence Technology (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Institute of Automation (CN)
- First Hospital of Jilin University (CN)
- Chaozhou Central Hospital (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-04-12
- DOI
- https://doi.org/10.1038/s41467-025-58786-3
- Citations
- 3
- Primary Topic
- Memory and Neural Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- Institute of Automation, Chinese Academy of Sciences