ArticleScientific reports2019
Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
- Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions.Behavioral and brain functions : BBF · 2024Trial
- A robust and reproducible connectome fingerprint of ketamine is highly associated with the connectomic signature of antidepressants.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Trial
- Identification of abnormal neural language networks by reading "brainprints" in patients with brain tumors.Neuroimage. Reports · 2026Article
- Chronicity moderates the impact of severity on central executive-default mode network functional interactions in depression.Scientific reports · 2026Article
- Commonality and Variability in Functional Networks in Children Under 5 Years Old.bioRxiv : the preprint server for biology · 2026Article
- Acute effects of nitrous oxide on visual processing: a connectome study in healthy adults.Research square · 2026Article
- Trauma, coherence, and vigilance across scales: a fractal regulatory framework for public mental health and preparedness.Frontiers in public health · 2026Article
- Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.bioRxiv : the preprint server for biology · 2025Article
- Metric structural human connectomes: Localization and multifractality of eigenmodes.Network neuroscience (Cambridge, Mass.) · 2025Article
- Neural circuit basis of pathological anxiety.Nature reviews. Neuroscience · 2025Review
- Deep learning-based embedding of functional connectivity profiles for precision functional mapping.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Sex Differences in Hierarchical and Modular Organization of Functional Brain Networks: Insights from Hierarchical Entropy and Modularity Analysis.Entropy (Basel, Switzerland) · 2024Article
- Flexible Bayesian Product Mixture Models for Vector Autoregressions.Journal of machine learning research : JMLR · 2024Article
- Clustering the cortical laminae: in vivo parcellation.Brain structure & function · 2024Article
- Cortical timescales and the modular organization of structural and functional brain networks.Human brain mapping · 2024Article
- Impact of brain parcellation on prediction performance in models of cognition and demographics.Human brain mapping · 2024Article
- Findings of PTSD-specific deficits in default mode network strength following a mild experimental stressor.NPP - digital psychiatry and neuroscience · 2024Article
- Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware.Frontiers in neuroscience · 2024Article
- Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium.Biological psychiatry global open science · 2024Article
- A personalized cortical atlas for functional regions of interest.Journal of neurophysiology · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Optimal integration and segregation of neuronal connections are necessary for efficient large-scale network communication between distributed cortical regions while allowing for modular specialization. This dynamic in the cortex is enabled at the network mesoscale by the organization of nodes into communities. Previous in vivo efforts to map the mesoscale architecture in humans had several limitations. Here we characterize a consensus multiscale community organization of the functional cortical network. We derive this consensus from the clustering of subject-level networks. We applied this analysis to magnetic resonance imaging data from 1003 healthy individuals part of the Human Connectome Project. The hierarchical atlas and code will be made publicly available for future investigators.
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