ReviewTrends in cognitive sciences2017
A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.
Review in Trends in cognitive sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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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.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed.
- Single-neuron network topology governs neural computation and learning in primate cortex.Nature communications · 2026Article
- Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys.Npj complexity · 2026Article
- Higher-order and distributed synergistic functional interactions encode information gain in goal-directed learning.Nature communications · 2025Article
- Transfer of motor learning is associated with patterns of activity in the default mode network.PLoS biology · 2025Article
- Scaffolding theory of maturation, cognition, motor performance, and motor skill acquisition: a revised and comprehensive framework for understanding motor-cognitive interactions across the lifespan.Frontiers in human neuroscience · 2025Article
- Test-retest reliability of MEG functional brain connectivity related to language production: Behavioral, functional, and structural underpinnings of reliable connectivity.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Supercomplexity: bridging the gap between aesthetics and cognition.Frontiers in neuroscience · 2025Article
- Dynamic adaptation to novelty in the brain is related to arousal and intelligence.bioRxiv : the preprint server for biology · 2024Article
- Neural interactions in the human frontal cortex dissociate reward and punishment learning.eLife · 2024Article
- Classify patients with Moyamoya disease according to their cognitive performance might be helpful in clinical and practical with support vector machine based on hypergraph.Human brain mapping · 2023Article
- Learning induces coordinated neuronal plasticity of metabolic demands and functional brain networks.Communications biology · 2022Article
- Social cognitive network neuroscience.Social cognitive and affective neuroscience · 2022Review
- From calcium imaging to graph topology.Network neuroscience (Cambridge, Mass.) · 2022Review
- Disrupted dynamic network reconfiguration of the brain functional networks of individuals with autism spectrum disorder.Brain communications · 2022Article
- Local and distributed cortical markers of effort expenditure during sustained goal pursuit.NeuroImage · 2021Article
- The impact of graph construction scheme and community detection algorithm on the repeatability of community and hub identification in structural brain networks.Human brain mapping · 2021Article
- Social network analysis for social neuroscientists.Social cognitive and affective neuroscience · 2021Article
- Dissociable plasticity of visual-motor system in functional specialization and flexibility in expert table tennis players.Brain structure & function · 2021Article
- Emerging neurodevelopmental perspectives on mathematical learning.Developmental review : DR · 2021Article
- Neural alignment predicts learning outcomes in students taking an introduction to computer science course.Nature communications · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Humans adapt their behavior to their external environment in a process often facilitated by learning. Efforts to describe learning empirically can be complemented by quantitative theories that map changes in neurophysiology to changes in behavior. In this review we highlight recent advances in network science that offer a sets of tools and a general perspective that may be particularly useful in understanding types of learning that are supported by distributed neural circuits. We describe recent applications of these tools to neuroimaging data that provide unique insights into adaptive neural processes, the attainment of knowledge, and the acquisition of new skills, forming a network neuroscience of human learning. While promising, the tools have yet to be linked to the well-formulated models of behavior that are commonly utilized in cognitive psychology. We argue that continued progress will require the explicit marriage of network approaches to neuroimaging data and quantitative models of behavior.
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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.