Learning arbitrary visuomotor associations: temporal dynamic of brain activity
Abstract
Primates can give behavioral responses on the basis of arbitrary, context-dependent rules. When sensory instructions and behavioral responses are associated by arbitrary rules, these rules need to be learned. This study investigates the temporal dynamics of functional segregation at the basis of visuomotor associative learning in humans, isolating specific learning-related changes in neurovascular activity across the whole brain. We have used fMRI to measure human brain activity during performance of two tasks requiring the association of visual patterns with motor responses. Both tasks were learned by trial and error, either before (visuomotor control) or during (visuomotor learning) the scanning session. Epochs of tasks performance ( approximately 30 s) were alternated with a baseline period over the whole scanning session ( approximately 50 min). We have assessed both linear and nonlinear modulations in the differential signal between tasks, independently from overall task differences. The performance indices of the visuomotor learning task smoothly converged onto the values of a steady-state control condition, according to nonlinear timecourses. Specific visuomotor learning-related activity has been found over a distributed cortical network, centred on a temporo-prefrontal circuit. These cortical time-modulated activities were supported early in learning by the hippocampal/parahippocampal complex, and late in learning by the basal ganglia system. These findings suggest th…
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Depending on the task, neuroimaging studies have reported a general decrease in cortical activity, increases in cortical activity, or a more complex redistribution where activity increases in some areas and decreases in others during practice.
“Depending on the task, some studies have reported a general decrease in cortical activity [52–55], a few have reported increases [56–59], and some have reported a more complex redistribution where activity increases in some areas and decreases in others [60–62].”
From Cortical and basal ganglia contributions to habit learning and automaticity (2010) · cites this paper as [54]
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- Authors
- Toni, I., Ramnani, N., Josephs, O., Ashburner, J., & Passingham, R. E.
- Affiliations
- Forschungszentrum Jülich (DE)
- National Hospital for Neurology and Neurosurgery (GB)
- University of Oxford (GB)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2001-11
- Volume
- 14
- Issue
- 5
- Pages
- 1048-1057
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2080027002
- Cited by
- 210
- References
- 47
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 2 · 2023: 3 · 2022: 7 · 2021: 3 · 2020: 4 · 2019: 6 · 2018: 5 · 2017: 10 · 2016: 6 · 2015: 8 · 2014: 7 · 2013: 9 · 2012: 7
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- visuomotor learning, temporal dynamics of brain activity, functional segregation, trial-and-error learning, basal ganglia, inferior temporal cortex, ventral prefrontal cortex
- MeSH terms
- Adult, Association Learning, Basal Ganglia, Brain, Brain Mapping, Cerebral Cortex, Dominance, Cerebral, Female, Hippocampus, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Neural Pathways, Pattern Recognition, Visual, Psychomotor Performance, Imaging, Three-Dimensional
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