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Neural excursions from manifold structure explain patterns of learning during human sensorimotor adaptation
Corson Areshenkoff1,2, Daniel J Gale1, Dominic Standage3
1Centre for Neuroscience Studies, Queen's University, Kingston, Canada.
Elife
|April 19, 2022
Summary
Individual differences in neural activity outside the brain's intrinsic manifold predict motor learning variability. This "off-manifold" activity in cognitive and sensorimotor networks reflects engagement during learning and relearning.
Area of Science:
- Neuroscience
- Cognitive Science
- Motor Control
Background:
- Human motor learning abilities show significant individual variability.
- Neural dynamics operate within a low-dimensional subspace (manifold), constraining learning.
- Understanding the neural basis of motor learning variability is crucial.
Purpose of the Study:
- To investigate if deviations from neural manifold structure explain individual differences in motor learning.
- To assess the relationship between neural excursion from the manifold and learning/relearning patterns.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to measure brain activity.
- Participants performed a sensorimotor adaptation task over two consecutive days.
- Neural activity was continuously monitored during the task.
Main Results:
- Greater neural excursion from the manifold in cognitive and sensorimotor networks correlated with learning differences.
- Off-manifold activity was associated with distinct patterns of learning and relearning across participants.
- Subject-level differences in neural excursion predicted variability in motor skill acquisition.
Conclusions:
- Off-manifold neural activity serves as an index for neural system engagement during motor learning.
- Variability in learning and relearning is linked to dynamic reconfiguration within cognitive and sensorimotor networks.
- Neural excursion from the intrinsic manifold is a key factor in individual motor learning differences.
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