ArticleCerebral cortex (New York, N.Y. : 1991)2021
Individual Differences in Cognitive Performance Are Better Predicted by Global Rather Than Localized BOLD Activity Patterns Across the Cortex.
Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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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
22 citing papers in PubMed.
- Functional Connectome Predicts Cognition and Links White Matter Hyperintensity Burden to Cognitive Impairment Across the Vascular Cognitive Impairment Continuum.Brain sciences · 2026Article
- The neurobiological cravings signature (NCS) as a predictive neuromarker of clinical outcomes in alcohol use disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Estimating the fraction of variance of crystallized intelligence explained by cortical surface area in early adolescence.bioRxiv : the preprint server for biology · 2026Article
- Task and Resting-State Functional Magnetic Resonance Imaging Modeling of Brain-Behavior Relationships in Developmental Cohorts.Biological psychiatry · 2026Review
- Leveraging Distributed Brain Signal at Rest to Predict Internalizing Symptoms in Youth: Deriving a Polyneuro Risk Score From the ABCD Study Cohort.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Psychiatric neuroimaging at a crossroads: Insights from psychiatric genetics.Developmental cognitive neuroscience · 2024Review
- Neurobiology of attention-deficit hyperactivity disorder: historical challenges and emerging frontiers.Nature reviews. Neuroscience · 2024Review
- Quality over quantity: powering neuroimaging samples in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Sex differences in distributed error-related neural activation in problem-drinking young adults.Drug and alcohol dependence · 2024Article
- Article
- Multimodal Neuroimaging Summary Scores as Neurobiological Markers of Psychosis.Schizophrenia bulletin · 2024Article
- Estimating the total variance explained by whole-brain imaging for zero-inflated outcomes.Communications biology · 2024Article
- Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Evaluation of behavioral variance/covariance explained by the neuroimaging data through a pattern-based regression.Human brain mapping · 2024Article
- Leveraging the Adolescent Brain Cognitive Development Study to improve behavioral prediction from neuroimaging in smaller replication samples.bioRxiv : the preprint server for biology · 2023Article
- Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity.NeuroImage · 2023Article
- Connectome-based predictive modelling of cognitive reserve using task-based functional connectivity.The European journal of neuroscience · 2023Article
- Generalization of cortical MOSTest genome-wide associations within and across samples.NeuroImage · 2022Article
- Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Multivariate genome-wide association study on tissue-sensitive diffusion metrics highlights pathways that shape the human brain.Nature communications · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Despite its central role in revealing the neurobiological mechanisms of behavior, neuroimaging research faces the challenge of producing reliable biomarkers for cognitive processes and clinical outcomes. Statistically significant brain regions, identified by mass univariate statistical models commonly used in neuroimaging studies, explain minimal phenotypic variation, limiting the translational utility of neuroimaging phenotypes. This is potentially due to the observation that behavioral traits are influenced by variations in neuroimaging phenotypes that are globally distributed across the cortex and are therefore not captured by thresholded, statistical parametric maps commonly reported in neuroimaging studies. Here, we developed a novel multivariate prediction method, the Bayesian polyvertex score, that turns a unthresholded statistical parametric map into a summary score that aggregates the many but small effects across the cortex for behavioral prediction. By explicitly assuming a globally distributed effect size pattern and operating on the mass univariate summary statistics, it was able to achieve higher out-of-sample variance explained than mass univariate and popular multivariate methods while still preserving the interpretability of a generative model. Our findings suggest that similar to the polygenicity observed in the field of genetics, the neural basis of complex behaviors may rest in the global patterning of effect size variation of neuroimaging phenotypes, rather than in localized, candidate brain regions and networks.
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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.