A dynamic subset of network interactions underlies tuning to natural movements in marmoset sensorimotor cortex.

Autor: Moore DD; Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, 60637, USA., MacLean JN; Committee on Computational Neuroscience, University of Chicago, Chicago, IL, 60637, USA.; Department of Neurobiology, University of Chicago, Chicago, IL, 60637, USA.; University of Chicago Neuroscience Institute, Chicago, IL, 60637, USA., Walker JD; Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, 60637, USA., Hatsopoulos NG; Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, 60637, USA. nicho@uchicago.edu.; Committee on Computational Neuroscience, University of Chicago, Chicago, IL, 60637, USA. nicho@uchicago.edu.; University of Chicago Neuroscience Institute, Chicago, IL, 60637, USA. nicho@uchicago.edu.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2024 Dec 03; Vol. 15 (1), pp. 10517. Date of Electronic Publication: 2024 Dec 03.
DOI: 10.1038/s41467-024-54343-6
Abstrakt: Mechanisms of computation in sensorimotor cortex must be flexible and robust to support skilled motor behavior. Patterns of neuronal coactivity emerge as a result of computational processes. Pairwise spike-time statistical relationships, across the population, can be summarized as a functional network (FN) which retains single-unit properties. We record populations of single-unit neural activity in marmoset forelimb sensorimotor cortex during prey capture and spontaneous behavior and use an encoding model incorporating kinematic trajectories and network features to predict single-unit activity during forelimb movements. The contribution of network features depends on structured connectivity within strongly connected functional groups. We identify a context-specific functional group that is highly tuned to kinematics and reorganizes its connectivity between spontaneous and prey capture movements. In the remaining context-invariant group, interactions are comparatively stable across behaviors and units are less tuned to kinematics. This suggests different roles in producing natural forelimb movements and contextualizes single-unit tuning properties within population dynamics.
Competing Interests: Competing interests: N.H. serves as a consultant for Blackrock Microsystems, Inc. The remaining authors declare no competing interests.
(© 2024. The Author(s).)
Databáze: MEDLINE
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