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Information flow between motor cortex and striatum reverses during skill learning

delete2024-05-01
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OA
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S
Stefan Lemke *
M
Marco Celotto
R
Roberto Maffulli
K
Karunesh Ganguly
S
Stefano Panzeri *
DOI:10.1016/j.cub.2024.03.023delete
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Abstract

Abstract

En 中文
The coordination of neural activity across brain areas during a specific behavior is often interpreted as neural communication involved in controlling the behavior. However, whether information relevant to the behavior is actually transferred between areas is often untested. Here, we used information -theoretic tools to quantify how motor cortex and striatum encode and exchange behaviorally relevant information about specific reach -to -grasp movement features during skill learning in rats. We found a temporal shift in the encoding of behaviorally relevant information during skill learning, as well as a reversal in the primary direction of behaviorally relevant information flow, from cortex -to -striatum during naive movements to striatum -to -cortex during skilled movements. Standard analytical methods that quantify the evolution of overall neural activity during learning-such as changes in neural signal amplitude or the overall exchange of information between areas-failed to capture these behaviorally relevant information dynamics. Using these standard methods, we instead found a consistent coactivation of overall neural signals during movement production and a bidirectional increase in overall information propagation between areas during learning. Our results show that skill learning is achieved through a transformation in how behaviorally relevant information is routed across cortical and subcortical brain areas and that isolating the components of neural activity relevant to and informative about behavior is critical to uncover directional interactions within a coactive and coordinated network.
Keywords:
CORTICOSTRIATAL PLASTICITY
CORTICAL ACTIVITY
MOVEMENT
DYNAMICS
PERFORMANCE
STABILITY
NETWORKS
CIRCUITS
ORIGIN
EEG
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Current Biology cover
Current Biology
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University of California System
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