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Title: Emergent Low-Frequency Activity in Cortico-Cerebellar Networks with Motor Skill Learning
Abstract The motor cortex controls skilled arm movement by recruiting a variety of targets in the nervous system, and it is important to understand the emergent activity in these regions as refinement of a motor skill occurs. One fundamental projection of the motor cortex (M1) is to the cerebellum. However, the emergent activity in the motor cortex and the cerebellum that appears as a dexterous motor skill is consolidated is incompletely understood. Here, we report on low-frequency oscillatory (LFO) activity that emerges in cortico-cerebellar networks with learning the reach-to-grasp motor skill. We chronically recorded the motor and the cerebellar cortices in rats, which revealed the emergence of coordinated movement-related activity in the local-field potentials as the reaching skill consolidated. Interestingly, we found this emergent activity only in the rats that gained expertise in the task. We found that the local and cross-area spiking activity was coordinated with LFOs in proficient rats. Finally, we also found that these neural dynamics were more prominently expressed during accurate behavior in the M1. This work furthers our understanding on emergent dynamics in the cortico-cerebellar loop that underlie learning and execution of precise skilled movement.  more » « less
Award ID(s):
2048231
NSF-PAR ID:
10399617
Author(s) / Creator(s):
; ; ; ; ; ;
Date Published:
Journal Name:
eneuro
Volume:
10
Issue:
2
ISSN:
2373-2822
Page Range / eLocation ID:
ENEURO.0011-23.2023
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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