ArticleNeuroImage2019
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
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Who cites it
53 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis.NeuroImage · 2019Pooled it
- A language network in the individualized functional connectomes of 1199 human brains doing arbitrary tasks.Nature communications · 2026Article
- A view-engage-predict framework for enhancing brain-behavior mapping with naturalistic movie-watching fMRI.Communications biology · 2026Article
- Effect sizes in human functional neuroimaging.Research square · 2026Article
- The Hidden Landscape of Missed Effects in Human Functional Neuroimaging.bioRxiv : the preprint server for biology · 2026Article
- Spontaneous brain regional dynamics contribute to generalizable brain-behaviour associations.Nature human behaviour · 2026Article
- Prefrontal Hierarchical Control of Corticomuscular Coherence in Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Connectome-Based Predictive Models of General and Specific Executive Functions.Human brain mapping · 2025Article
- Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes.Developmental cognitive neuroscience · 2025Article
- Multi-voxel pattern analysis for developmental cognitive neuroscientists.Developmental cognitive neuroscience · 2025Review
- Regional, but not brain-wide, graph theoretic measures are robustly and reproducibly linked to general cognitive ability.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Using precision approaches to improve brain-behavior prediction.Trends in cognitive sciences · 2025Review
- MJNMF-GAT: Multi-Task Joint Non-Negative Matrix Factorization Graph Attention Network for Understanding Adolescent Neurodevelopment.IEEE access : practical innovations, open solutions · 2025Article
- BrainEffeX: A Web App for Exploring fMRI Effect Sizes.Aperture neuro · 2025Article
- Challenges in measuring individual differences of brain function.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control.bioRxiv : the preprint server for biology · 2024Article
- Connectome-based fingerprinting: reproducibility, precision, and behavioral prediction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Moving beyond processing- and analysis-related variation in resting-state functional brain imaging.Nature human behaviour · 2024Article
- Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
6 authors.
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Abstract
Brain functional connectivity features can predict cognition and behavior at the level of the individual. Most studies measure univariate signals, correlating timecourses from the average of constituent voxels in each node. While straightforward, this approach overlooks the spatial patterns of voxel-wise signals within individual nodes. Given that multivariate spatial activity patterns across voxels can improve fMRI measures of mental representations, here we asked whether using voxel-wise timecourses can better characterize region-by-region interactions relative to univariate approaches. Using two fMRI datasets, the Human Connectome Project sample and a local test-retest sample, we measured multivariate functional connectivity with multivariate distance correlation and univariate connectivity with Pearson's correlation. We compared multivariate and univariate connectivity estimates, demonstrating that relative to univariate estimates, multivariate estimates exhibited higher reliability at both the edge-level and connectome-level, stronger prediction of individual differences, and greater sensitivity to brain states within individuals. Our findings suggest that multivariate estimates reliably provide more powerful information about an individual's functional brain organization and its relation to cognitive skills.
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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.