ArticleProceedings of the National Academy of Sciences of the United States of America2011
Dynamic reconfiguration of human brain networks during learning.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 800 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
800 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of global signal topography in aging, neuropsychiatric disorders, and cognitive task performance.Brain imaging and behavior · 2026Pooled it
- OFC-induced network modularity improves positive symptoms and attentional alertness in schizophrenia: a combined rTMS-fMRI study.Nature communications · 2026Trial
- Transcranial magnetic stimulation regulates brain functional network dynamics in stroke patients: a randomised controlled trial.Journal of neuroengineering and rehabilitation · 2025Trial
- Machine learning for missing data imputation in Alzheimer's research: predicting medial temporal lobe dynamic flexibility.Cognitive neurodynamics · 2026Article
- Hierarchical neural variability reveals adaptive and maladaptive mechanisms of non-suicidal self-injury.Molecular psychiatry · 2026Article
- Diurnal dynamics of multilayer brain networks predict cognitive trajectories in aging.GeroScience · 2026Article
- Thalamic modulation of cortical linearity across arousal states.Science advances · 2026Article
- Bored out of my mind: Integrated and flexible brain networks define trait boredom.Cognitive, affective & behavioral neuroscience · 2026Article
- Trophic and Environmental Generalists Maintain Pollinator Network Functional Continuity by Switching Modules Through Time.Ecology and evolution · 2026Article
- Multiscale network reorganization during the multidimensional recollection of naturalistic events.Brain structure & function · 2026Article
- Quantifying Information Stored in Synaptic Connections Rather Than in Firing Activities of Neural Networks.Neural computation · 2026Article
- Network-oriented neurorehabilitation after stroke: a paradigmatic approach.Journal of neuroengineering and rehabilitation · 2026Review
- Frequency-specific cortical subnetworks support fast human swallowing.Communications biology · 2026Article
- Robust probabilistic measurement of structural-functional module consistency in infant brain development.Brain structure & function · 2026Article
- Charting higher-order models of brain function beyond pairwise interactions.Nature communications · 2026Article
- Dopamine-related alterations in functional brain network dynamic reconfiguration in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease.Nature communications · 2026Article
- Context-dependent reconfiguration of functional connectivity in posterior (VWFA-1) and anterior (VWFA-2) visual word form area under attentional and linguistic demands.Behavioral and brain functions : BBF · 2026Article
- Structural Connectome Alterations in Alternating Hemiplegia of Childhood.Brain topography · 2026Article
- Coordinative structures as scale-free networks: Cascade and percolation dynamics in motor learning with empirical validation.PLoS computational biology · 2026Article
740 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These two attributes--flexibility and selection--must operate over multiple temporal scales as performance of a skill changes from being slow and challenging to being fast and automatic. Such selective adaptability is naturally provided by modular structure, which plays a critical role in evolution, development, and optimal network function. Using functional connectivity measurements of brain activity acquired from initial training through mastery of a simple motor skill, we investigate the role of modularity in human learning by identifying dynamic changes of modular organization spanning multiple temporal scales. Our results indicate that flexibility, which we measure by the allegiance of nodes to modules, in one experimental session predicts the relative amount of learning in a future session. We also develop a general statistical framework for the identification of modular architectures in evolving systems, which is broadly applicable to disciplines where network adaptability is crucial to the understanding of system performance.
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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.