ArticleNeuroImage2021
Probabilistic mapping of human functional brain networks identifies regions of high group consensus.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.
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
54 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Non-literal language processing is jointly supported by the language and theory of mind networks: Evidence from a novel meta-analytic fMRI approach.Cortex; a journal devoted to the study of the nervous system and behavior · 2023Pooled it
- Individualized Network Topography in Pre-adolescent Children and Adults Using Naturalistic Precision fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease.Nature communications · 2026Article
- Functional brain organization is stable within individuals across years.bioRxiv : the preprint server for biology · 2026Article
- Inhibitory control deficits and ventral attention network alterations linked to apathy in schizophrenia.Translational psychiatry · 2026Article
- Linking human brain functional connectivity to underlying neurotransmission.bioRxiv : the preprint server for biology · 2026Article
- Resolving mesoscale brainstem-prefrontal-striatal pathways underlying decisions upon salient events using submillimeter-resolution fMRI.Nature communications · 2026Article
- Commonality and Variability in Functional Networks in Children Under 5 Years Old.bioRxiv : the preprint server for biology · 2026Article
- Individualized Mapping of Functional Brain Networks in Older Adulthood.bioRxiv : the preprint server for biology · 2026Article
- BOLD complexity characterizes glioblastoma survival via voxel-wise and localized sample entropy.Journal of neuro-oncology · 2026Article
- Dense Phenotyping of Human Brain Network Organization Using Precision fMRI.Annual review of psychology · 2026Review
- Functional connectivity predictors and mechanisms of symptom change in functional neurological disorder.Brain communications · 2026Article
- Article
- From Therapeutic Heterogeneity to Precision Neuromodulation: Non-Invasive Brain Stimulation for Chronic Insomnia.Nature and science of sleep · 2026Review
- Review
- Progressive Changes Between Thalamic Nuclei and Cortical Networks Across Stimulus-Response Learning.Human brain mapping · 2025Article
- Aging and the Spectral Properties of Brain Hemodynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain.bioRxiv : the preprint server for biology · 2025Article
- Development of areal-level individualized homologous functional parcellations in youth.Communications biology · 2025Article
- A network correspondence toolbox for quantitative evaluation of novel neuroimaging results.Nature communications · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Many recent developments surrounding the functional network organization of the human brain have focused on data that have been averaged across groups of individuals. While such group-level approaches have shed considerable light on the brain's large-scale distributed systems, they conceal individual differences in network organization, which recent work has demonstrated to be common and widespread. This individual variability produces noise in group analyses, which may average together regions that are part of different functional systems across participants, limiting interpretability. However, cost and feasibility constraints may limit the possibility for individual-level mapping within studies. Here our goal was to leverage information about individual-level brain organization to probabilistically map common functional systems and identify locations of high inter-subject consensus for use in group analyses. We probabilistically mapped 14 functional networks in multiple datasets with relatively high amounts of data. All networks show "core" (high-probability) regions, but differ from one another in the extent of their higher-variability components. These patterns replicate well across four datasets with different participants and scanning parameters. We produced a set of high-probability regions of interest (ROIs) from these probabilistic maps; these and the probabilistic maps are made publicly available, together with a tool for querying the network membership probabilities associated with any given cortical location. These quantitative estimates and public tools may allow researchers to apply information about inter-subject consensus to their own fMRI studies, improving inferences about systems and their functional specializations.
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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.