ArticlePLoS computational biology2022
Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA).
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Brain connectomics markers for response prediction to transcranial magnetic stimulation in cocaine use disorder.Scientific reports · 2025Trial
- Multimodal approach to identify neuropsychophysiological subgroups in myalgic encephalomyelitis/chronic fatigue syndrome and their relevance for rehabilitation: protocol for a mechanistic cross-sectional and longitudinal study.Brain, behavior, & immunity - health · 2026Article
- Narrative coherence shapes functional connectivity in default mode and frontoparietal networks.Neuroimage. Reports · 2026Article
- Cerebellar and Subcortical Connectivity Associated with Arthrogenic Muscle Inhibition After Acute ACL Rupture in Males: A Clinical and fMRI Study.Sports medicine - open · 2026Article
- Neuroinflammation-associated thalamocortical functional connectivity and cognition in older adults.Journal of neuroinflammation · 2026Article
- Article
- Suicide attempt history, childhood trauma, and functional brain network alterations in major depressive disorder: a resting-state functional connectivity-based multivariate pattern analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Gestational PBDE concentrations and functional connectivity in adolescents: The HOME Study.International journal of hygiene and environmental health · 2026Article
- Functional connectivity of youth in family-like residential care in Japan: Impact of reactive attachment disorder and disinhibited social engagement disorder symptoms.Neuroimage. Reports · 2026Article
- Neural Mechanisms of Reciprocity Availability and Expectancy Violation During Social Interaction.Brain sciences · 2026Article
- Impaired neural pattern separation during implicit emotion regulation in PTSD: an MVPA fMRI study.Social cognitive and affective neuroscience · 2026Article
- Cerebellar tDCS Modulates Corticocortical Functional Networks in a Regionally Specific Manner.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Intrinsic Functional Connectivity Network in Children with Dyslexia: An Extension Study on Novel Cognitive-Motor Training.Brain sciences · 2025Article
- Resting-state functional connectivity alterations after mild COVID-19 infection.BMC infectious diseases · 2025Article
- Specific Association Patterns Between Brain Glutathione Levels, Myelination, and Functional Connectivity in Adults With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2025Article
- Brainwide Analysis of Functional Connectivity Patterns in Specific Phobia and Its Treatment.Biological psychiatry global open science · 2025Article
- Resting-state functional connectivity correlates of gait and turning performance in multiple sclerosis: a multivariate pattern analysis.Scientific reports · 2025Article
- Resting-State Functional MRI Analyses for Brain Activity Characterization: A Narrative Review of Features and Methods.The European journal of neuroscience · 2025Review
- Prenatal brain connectivity and postnatal language: how familial risk and prenatal speech exposure shape early language skills.Scientific reports · 2025Article
- Pre-CBT resting-state connectivity and white matter integrity in OCD remission: A multimodal MRI study.Neuroimage. Reports · 2025Article
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1 author.
Funding
Abstract
Current functional Magnetic Resonance Imaging technology is able to resolve billions of individual functional connections characterizing the human connectome. Classical statistical inferential procedures attempting to make valid inferences across this many measures from a reduced set of observations and from a limited number of subjects can be severely underpowered for any but the largest effect sizes. This manuscript discusses fc-MVPA (functional connectivity Multivariate Pattern Analysis), a novel method using multivariate pattern analysis techniques in the context of brain-wide connectome inferences. The theory behind fc-MVPA is presented, and several of its key concepts are illustrated through examples from a publicly available resting state dataset, including an analysis of gender differences across the entire functional connectome. Finally, Monte Carlo simulations are used to demonstrate the validity and sensitivity of this method. In addition to offering powerful whole-brain inferences, fc-MVPA also provides a meaningful characterization of the heterogeneity in functional connectivity across subjects.
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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.