Cited by 603Functional Brain Connectivity StudiesMotor Control and AdaptationAdvanced Neuroimaging Techniques and Applications

Learning-induced autonomy of sensorimotor systems

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Bassett, Danielle S, Yang, Muzhi, Wymbs, Nicholas F, Grafton, Scott T·2015·Nature Neuroscience

Abstract

Distributed networks of brain areas interact with one another in a time-varying fashion to enable complex cognitive and sensorimotor functions. Here we used new network-analysis algorithms to test the recruitment and integration of large-scale functional neural circuitry during learning. Using functional magnetic resonance imaging data acquired from healthy human participants, we investigated changes in the architecture of functional connectivity patterns that promote learning from initial training through mastery of a simple motor skill. Our results show that learning induces an autonomy of sensorimotor systems and that the release of cognitive control hubs in frontal and cingulate cortices predicts individual differences in the rate of learning on other days of practice. Our general statistical approach is applicable across other cognitive domains and provides a key to understanding time-resolved interactions between distributed neural circuits that enable task performance.

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  • Connectivity analyses and more complex measures of dynamic reconfiguration of networks in face of different task demands are not competitive with activation studies but provide very complementary insights that directly address the underlying mechanisms of cognitive processes.

    “Indeed, connectivity analyses, and more complex measures of the dynamic reconfiguration of networks in face of different task demands, are not competitive with activation studies but provide very complementary insights that directly address the underlying mechanisms of cognitive processes (61).”
  • Momentary neural coalitions underlie complex cognitive functions, learning, and consciousness.

    “the emergence of momentary neural coalitions forms the basis for complex cognitive functions (Bassett et al., 2015; Cole et al., 2014), learning (Bassett et al., 2011) and consciousness (Barttfeld et al., 2015; Godwin et al., 2015)”

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Research works printed but not linked: 2

  1. [12]Sporns O Networks of the Brain (MIT Press, 2010).
  2. [53]Rosenbaum DA Human Motor Control (Elsevier, 2010).

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Authors
Bassett, D. S., Yang, M., Wymbs, N. F., & Grafton, S. T.
Affiliations
  • University of Pennsylvania (US)
  • University of California, Santa Barbara (US)
Venue
Nature Neuroscience
Published
2015-04-06
Volume
18
Issue
5
Pages
744-751
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2043783389
Cited by
603
References
86
Citations by year
2026: 33 · 2025: 54 · 2024: 56 · 2023: 46 · 2022: 43 · 2021: 62 · 2020: 61 · 2019: 57 · 2018: 67 · 2017: 59 · 2016: 50 · 2015: 14 · 2014: 1
FWCI
38.11
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (5r01dc009209-15)
  • National Institute on Deafness and Other Communication Disorders (R01-DC009209, 2R01-DC009209-11)
  • National Institute of Neurological Disorders and Stroke (NS 44393, P01NS044393)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
sensorimotor learning, motor skill learning, functional connectivity, neural circuits, cognitive control, frontal cortex, cingulate cortex, distributed brain networks
MeSH terms
Adult, Brain Mapping, Cues, Female, Frontal Lobe, Gyrus Cinguli, Humans, Learning, Magnetic Resonance Imaging, Male, Motor Skills, Nerve Net, Neural Networks, Computer, Young Adult, Functional Neuroimaging, Sensorimotor Cortex

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