ArticleHuman brain mapping2021
Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.
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Who cites it
54 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis.Molecular psychiatry · 2023Pooled it
- Relating Cognition to both Brain Structure and Function: A Systematic Review of Methods.Brain connectivity · 2023Pooled it
- Multimodal MRI prediction of cognitive functioning across the lifespan: separating between-person differences from within-person changes.GeroScience · 2026Article
- Neuroanatomy reflects individual variability in impulsivity in youth.Molecular psychiatry · 2026Article
- Exploring the link between body physiology and cognition: the role of the brain and aging.npj aging · 2026Article
- Widespread use of invalid statistical tests in biomedical machine learning.bioRxiv : the preprint server for biology · 2026Article
- Article
- The network architecture of general intelligence in the human connectome.Nature communications · 2026Article
- Multidimensional structural-functional coupling uncovers network dysregulation and predicts binge-eating severity in bulimia nervosa.BMC medicine · 2025Article
- White Matter Bundle Reconstruction From Single-Shell Diffusion Magnetic Resonance Imaging: Test-Retest Reliability and Predictive Capability Across Orientation Distribution Function Reconstruction Methods.Human brain mapping · 2025Article
- Multimodal neuroimaging data boosts the prediction of multifaceted cognition.Research square · 2025Article
- Uncovering functional connectivity patterns predictive of cognition in youth using interpretable predictive modeling.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Neural Topologies of Reinforcement Sensitivity Theory: A Latent Variable Approach to Magnetic Resonance Imaging Data.Biological psychiatry global open science · 2025Article
- Mapping the coupling between tract reachability and cortical geometry of the human brain.Nature communications · 2025Article
- Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation.Scientific reports · 2025Article
- Development of areal-level individualized homologous functional parcellations in youth.Communications biology · 2025Article
- Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach.Human brain mapping · 2025Article
- Structural Cerebellar and Lateral Frontoparietal Networks are altered in CUD: An SBM Analysis.Addiction biology · 2025Article
- Weak and unstable prediction of personality from the structural connectome.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Temporal variability of brain-behavior relationships in fine-scale dynamics of edge time series.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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5 authors.
Funding
Abstract
White matter pathways between neurons facilitate neuronal coactivation patterns in the brain. Insight into how these structural and functional connections underlie complex cognitive functions provides an important foundation with which to delineate disease-related changes in cognitive functioning. Here, we integrate neuroimaging, connectomics, and machine learning approaches to explore how functional and structural brain connectivity relate to cognition. Specifically, we evaluate the extent to which functional and structural connectivity predict individual crystallised and fluid cognitive abilities in 415 unrelated healthy young adults (202 females) from the Human Connectome Project. We report three main findings. First, we demonstrate functional connectivity is more predictive of cognitive scores than structural connectivity, and, furthermore, integrating the two modalities does not increase explained variance. Second, we show the quality of cognitive prediction from connectome measures is influenced by the choice of grey matter parcellation, and, possibly, how that parcellation is derived. Third, we find that distinct functional and structural connections predict crystallised and fluid abilities. Taken together, our results suggest that functional and structural connectivity have unique relationships with crystallised and fluid cognition and, furthermore, studying both modalities provides a more comprehensive insight into the neural correlates of cognition.
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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.