ArticleCerebral cortex (New York, N.Y. : 1991)2017
Structural Pathways Supporting Swift Acquisition of New Visuomotor Skills.
Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
14 citing papers in PubMed, 12 citations in OpenAlex.
- Neurophysiology of ACL Injury.Orthopedic reviews · 2025Article
- Associative white matter tracts selectively predict sensorimotor learning.Communications biology · 2024Article
- Resolving inter-regional communication capacity in the human connectome.Network neuroscience (Cambridge, Mass.) · 2023Article
- Long-term motor skill training with individually adjusted progressive difficulty enhances learning and promotes corticospinal plasticity.Scientific reports · 2020Article
- Mapping brain-behavior networks using functional and structural connectome fingerprinting in the HCP dataset.Brain and behavior · 2020Article
- Network architectures supporting learnability.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- The role of the fornix in human navigational learning.Cortex; a journal devoted to the study of the nervous system and behavior · 2020Article
- Rewiring the extremely preterm brain: Altered structural connectivity relates to language function.NeuroImage. Clinical · 2020Article
- Data-driven brain network models differentiate variability across language tasks.PLoS computational biology · 2018Article
- Predicting future learning from baseline network architecture.NeuroImage · 2018Article
- Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2018Article
- Visual perceptual training reconfigures post-task resting-state functional connectivity with a feature-representation region.PloS one · 2018Article
- A network engineering perspective on probing and perturbing cognition with neurofeedback.Annals of the New York Academy of Sciences · 2017Review
- A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.Trends in cognitive sciences · 2017Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Human skill learning requires fine-scale coordination of distributed networks of brain regions linked by white matter tracts to allow for effective information transmission. Yet how individual differences in these anatomical pathways may impact individual differences in learning remains far from understood. Here, we test the hypothesis that individual differences in structural organization of networks supporting task performance predict individual differences in the rate at which humans learn a visuomotor skill. Over the course of 6 weeks, 20 healthy adult subjects practiced a discrete sequence production task, learning a sequence of finger movements based on discrete visual cues. We collected structural imaging data, and using deterministic tractography generated structural networks for each participant to identify streamlines connecting cortical and subcortical brain regions. We observed that increased white matter connectivity linking early visual regions was associated with a faster learning rate. Moreover, the strength of multiedge paths between motor and visual modules was also correlated with learning rate, supporting the potential role of extended sets of polysynaptic connections in successful skill acquisition. Our results demonstrate that estimates of anatomical connectivity from white matter microstructure can be used to predict future individual differences in the capacity to learn a new motor-visual skill, and that these predictions are supported both by direct connectivity in visual cortex and indirect connectivity between visual cortex and motor cortex.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.