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Cited by 182Motor Control and AdaptationMemory and Neural MechanismsNeural dynamics and brain function

Cerebellar contribution to preparatory activity in motor neocortex

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Chabrol, Francois P., Blot, Antonin, Mrsic-Flogel, Thomas D.·2019·Neuron
DOI 10.1016/j.neuron.2019.05.022PMC PMC6693889

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Abstract

In motor neocortex, preparatory activity predictive of specific movements is maintained by a positive feedback loop with the thalamus. Motor thalamus receives excitatory input from the cerebellum, which learns to generate predictive signals for motor control. The contribution of this pathway to neocortical preparatory signals remains poorly understood. Here, we show that, in a virtual reality conditioning task, cerebellar output neurons in the dentate nucleus exhibit preparatory activity similar to that in anterolateral motor cortex prior to reward acquisition. Silencing activity in dentate nucleus by photoactivating inhibitory Purkinje cells in the cerebellar cortex caused robust, short-latency suppression of preparatory activity in anterolateral motor cortex. Our results suggest that preparatory activity is controlled by a learned decrease of Purkinje cell firing in advance of reward under supervision of climbing fiber inputs signaling reward delivery. Thus, cerebellar computations exert a powerful influence on preparatory activity in motor neocortex.

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  • The expected aspect of the presence or absence of sensory feedback is the key factor for a cerebellar anticipatory response.

    “This suggests that the “expected” aspect of the presence or absence of sensory feedback is the key factor for a cerebellar anticipatory response (Chabrol et al., 2019).”

    From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Chabrol et al., 2019

    The Results section on cue-to-reward timing (page unavailable) links cerebellar preparatory activity to learned environmental cues that predict reward, and the Discussion describes prediction of upcoming reward. Our copy does not establish that the expected presence or absence of sensory feedback is the key factor in that response. (LLM, conf=0.79)

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Authors
Chabrol, F. P., Blot, A., & Mrsic-Flogel, T. D.
Affiliations
University of Basel (CH)
ORCID
Blot, Antonin
Venue
Neuron
Publisher
Elsevier BV
Published
2019-08
Volume
103
Issue
3
Pages
506-519.e4
ISSN
0896-6273 (ISSN-L)
DOI
10.1016/j.neuron.2019.05.022
PMC
PMC6693889
OpenAlex
W2950287221
Cited by
182
References
6
Citations by year
2026: 12 · 2025: 20 · 2024: 27 · 2023: 23 · 2022: 24 · 2021: 32 · 2020: 29 · 2019: 14 · 2018: 1
FWCI
14.39
Type
journal article
Language
en
Open access
Licence
Locations
  • Neuron (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • Biozentrum (090843/F/09/Z)
  • Gatsby Foundation
  • Wellcome
  • ERC (616509)
  • SNSF (169802)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
cerebellum, preparatory activity, dentate nucleus, Purkinje cells, climbing fibers, motor thalamus, reward prediction
MeSH terms
Virtual Reality, Animals, Cerebellar Cortex, Cerebellar Nuclei, Conditioning, Operant, Cues, Female, Male, Mice, Inbred C57BL, Motor Cortex, Movement, Nerve Net, Purkinje Cells, Reaction Time, Reward, Thalamus, Time Factors, Maze Learning, Feedback, Physiological

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