ArticleCerebral cortex (New York, N.Y. : 1991)2016
Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability.
Article in Cerebral cortex (New York, N.Y. : 1991), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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
49 citing papers in PubMed.
- Article
- Individualized parcellation reveals functional boundaries in human prefrontal cortex.bioRxiv : the preprint server for biology · 2026Article
- Spatial connectivity for local cortical homogeneity.Research square · 2026Article
- Article
- Spacetime concordance in the primate cortex.bioRxiv : the preprint server for biology · 2025Article
- Comparing reliability-based measures of functional connectivity between movie and rest: An ROI-based approach.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- SAN: Mitigating spatial covariance heterogeneity in cortical thickness data collected from multiple scanners or sites.Human brain mapping · 2024Article
- SAN: mitigating spatial covariance heterogeneity in cortical thickness data collected from multiple scanners or sites.bioRxiv : the preprint server for biology · 2024Article
- How do tasks impact the reliability of fMRI functional connectivity?Human brain mapping · 2024Article
- Measures of resting-state brain network segregation and integration vary in relation to data quantity: implications for within and between subject comparisons of functional brain network organization.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Functional connectivity across the human subcortical auditory system using an autoregressive matrix-Gaussian copula graphical model approach with partial correlations.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of Autism.Advances in neurobiology · 2024Review
- Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity.NeuroImage · 2023Article
- Functional connectome fingerprinting across the lifespan.Network neuroscience (Cambridge, Mass.) · 2023Article
- Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping.IEEE transactions on medical imaging · 2022Article
- Dissociable multi-scale patterns of development in personalized brain networks.Nature communications · 2022Article
- Brain connectivity fingerprinting and behavioural prediction rest on distinct functional systems of the human connectome.Communications biology · 2022Article
- Effect sizes and test-retest reliability of the fMRI-based neurologic pain signature.NeuroImage · 2022Article
- Performances of whole-brain dynamic and static functional connectivity fingerprinting in machine learning-based classification of major depressive disorder.Frontiers in psychiatry · 2022Article
- Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Resting state fMRI (R-fMRI) is a powerful in-vivo tool for examining the functional architecture of the human brain. Recent studies have demonstrated the ability to characterize transitions between functionally distinct cortical areas through the mapping of gradients in intrinsic functional connectivity (iFC) profiles. To date, this novel approach has primarily been applied to iFC profiles averaged across groups of individuals, or in one case, a single individual scanned multiple times. Here, we used a publically available R-fMRI dataset, in which 30 healthy participants were scanned 10 times (10 min per session), to investigate differences in full-brain transition profiles (i.e., gradient maps, edge maps) across individuals, and their reliability. 10-min R-fMRI scans were sufficient to achieve high accuracies in efforts to "fingerprint" individuals based upon full-brain transition profiles. Regarding test-retest reliability, the image-wise intraclass correlation coefficient (ICC) was moderate, and vertex-level ICC varied depending on region; larger durations of data yielded higher reliability scores universally. Initial application of gradient-based methodologies to a recently published dataset obtained from twins suggested inter-individual variation in areal profiles might have genetic and familial origins. Overall, these results illustrate the utility of gradient-based iFC approaches for studying inter-individual variation in brain function.
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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.