ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018
A distributed brain network predicts general intelligence from resting-state human neuroimaging data.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.
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Who cites it
172 citing papers in PubMed.
- Effect sizes for brain-based predictive models of cognition across the lifespan.Communications psychology · 2026Review
- Cognition disconnected: the influence of domain-general cognition (g) in lesion-deficit mapping.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.Nature human behaviour · 2026Article
- A canary in the mind: A single baseline brain scan predicts adolescent depression and anxiety one year later.medRxiv : the preprint server for health sciences · 2026Article
- Using connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting.Nature communications · 2026Article
- Cognitive-Behavioral Predictors of Individual Variability of Functional Connectivity in Healthy Young Adults.Research square · 2026Article
- Article
- Tract-explainable and underexplained synchrony play complementary roles in the functional organization of the brain.bioRxiv : the preprint server for biology · 2026Article
- Shared genetic architecture between the topology of brain white matter structural connectome and fluid intelligence.Communications biology · 2026Article
- Whole brain grey matter synaptic terminal density, age and intellectual functioning in schizophrenia: an in vivo [Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Prediction of cognitive test scores: a comparison of brain structure, health, demographic, and cognitive data across adulthood.GeroScience · 2026Article
- The Comodification of Brain Activity, Functional Connectivity, and Behavior Following Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Cognition emerges from phase dynamics of intrinsic coordination.bioRxiv : the preprint server for biology · 2026Article
- A new fMRI quality metric using multi-echo information: Theory, validation and implications.bioRxiv : the preprint server for biology · 2026Article
- Brain regions beyond the visual cortex are relevant to subjective time prediction from fMRI salient events in a visual naturalistic context.Brain imaging and behavior · 2026Article
- The network architecture of general intelligence in the human connectome.Nature communications · 2026Article
- The turbulent brain: Modeling vortex interactions for understanding human cognition.Network neuroscience (Cambridge, Mass.) · 2026Article
- Structural and dynamic functional controllability: shared variance between network control metrics limits attribution to distinct domains of intelligence.Frontiers in human neuroscience · 2026Article
- Digital Twin Brain: Generating Multitask Behavior from Connectomes for Personalized Therapy.BME frontiers · 2026Article
- Bayesian thresholded modeling for integrating brain node and network predictors.Biostatistics (Oxford, England) · 2025Article
112 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Individual people differ in their ability to reason, solve problems, think abstractly, plan and learn. A reliable measure of this general ability, also known as intelligence, can be derived from scores across a diverse set of cognitive tasks. There is great interest in understanding the neural underpinnings of individual differences in intelligence, because it is the single best predictor of long-term life success. The most replicated neural correlate of human intelligence to date is total brain volume; however, this coarse morphometric correlate says little about function. Here, we ask whether measurements of the activity of the resting brain (resting-state fMRI) might also carry information about intelligence. We used the final release of the Young Adult Human Connectome Project (
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