ArticleNeuroImage2018
Predicting future learning from baseline network architecture.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
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
34 citing papers in PubMed.
- Decreased thalamo-cortico connectivity during an implicit sequence motor learning task and 7 days escitalopram intake.Scientific reports · 2021Trial
- Complementary topology of maintenance and manipulation brain networks in working memory.Scientific reports · 2018Trial
- Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults.PloS one · 2016Trial
- Neuromodulation-induced normalization of cortical metastable dynamics signatures in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Article
- Prediction of Individual Melodic Contour Processing in Sensory Association Cortices From Resting State Functional Connectivity.Human brain mapping · 2025Article
- Resting-State Functional Networks Correlate with Motor Performance in a Complex Visuomotor Task: An EEG Microstate Pilot Study on Healthy Individuals.Brain topography · 2024Article
- Sensorimotor Network Segregation Predicts Long-Term Learning of Writing Skills in Parkinson's Disease.Brain sciences · 2024Article
- Dynamic rewiring of electrophysiological brain networks during learning.Network neuroscience (Cambridge, Mass.) · 2023Article
- Individual differences in frontoparietal plasticity in humans.NPJ science of learning · 2022Article
- The functional and structural neural correlates of dynamic balance impairment and recovery in persons with acquired brain injury.Scientific reports · 2022Article
- Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke.Human brain mapping · 2021Article
- Examining modifications of execution strategies during a continuous task.Scientific reports · 2021Article
- Brain Network Segregation and Glucose Energy Utilization: Relevance for Age-Related Differences in Cognitive Function.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Predictive modeling of neurobehavioral state and trait variation across development.Developmental cognitive neuroscience · 2020Review
- Older adults benefit from more widespread brain network integration during working memory.NeuroImage · 2020Article
- Article
- Acute ischaemic stroke alters the brain's preference for distinct dynamic connectivity states.Brain : a journal of neurology · 2020Article
- Network architectures supporting learnability.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Functional brain network reconfiguration during learning in a dynamic environment.Nature communications · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Human behavior and cognition result from a complex pattern of interactions between brain regions. The flexible reconfiguration of these patterns enables behavioral adaptation, such as the acquisition of a new motor skill. Yet, the degree to which these reconfigurations depend on the brain's baseline sensorimotor integration is far from understood. Here, we asked whether spontaneous fluctuations in sensorimotor networks at baseline were predictive of individual differences in future learning. We analyzed functional MRI data from 19 participants prior to six weeks of training on a new motor skill. We found that visual-motor connectivity was inversely related to learning rate: sensorimotor autonomy at baseline corresponded to faster learning in the future. Using three additional scans, we found that visual-motor connectivity at baseline is a relatively stable individual trait. These results suggest that individual differences in motor skill learning can be predicted from sensorimotor autonomy at baseline prior to task execution.
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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.