ArticleNature communications2022
Cerebellar connectivity maps embody individual adaptive behavior in mice.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Subthreshold violations of trajectory predictions are sensitive to TMS of cerebellum Crus I/II.Neuroimage. Reports · 2026Article
- Interdependence patterns of multifrequency oscillations predict visuomotor behavior.Network neuroscience (Cambridge, Mass.) · 2025Article
- Cerebellar Functions Beyond Movement and Learning.Annual review of neuroscience · 2024Review
- Excitation and Inhibition Delays within a Feedforward Inhibitory Pathway Modulate Cerebellar Purkinje Cell Output in Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- What Can We Learn from Synaptic Connectivity Maps about Cerebellar Internal Models?Cerebellum (London, England) · 2023Review
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cerebellar cortex encodes sensorimotor adaptation during skilled locomotor behaviors, however the precise relationship between synaptic connectivity and behavior is unclear. We studied synaptic connectivity between granule cells (GCs) and Purkinje cells (PCs) in murine acute cerebellar slices using photostimulation of caged glutamate combined with patch-clamp in developing or after mice adapted to different locomotor contexts. By translating individual maps into graph network entities, we found that synaptic maps in juvenile animals undergo critical period characterized by dissolution of their structure followed by the re-establishment of a patchy functional organization in adults. Although, in adapted mice, subdivisions in anatomical microzones do not fully account for the observed spatial map organization in relation to behavior, we can discriminate locomotor contexts with high accuracy. We also demonstrate that the variability observed in connectivity maps directly accounts for motor behavior traits at the individual level. Our findings suggest that, beyond general motor contexts, GC-PC networks also encode internal models underlying individual-specific motor adaptation.
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Registered trials
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