ArticleNeuroImage2023
Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain.
Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation.Human brain mapping · 2026Article
- Functional fractionation of large-scale brain networks in the human subcortex.bioRxiv : the preprint server for biology · 2025Article
- Subcortical Hubs of Brain Networks Sustaining Human Consciousness.Human brain mapping · 2025Article
- Multiscale modes of functional brain connectivity.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Delineating network integration and segregation in the pathophysiology of functional neurological disorder.Brain communications · 2025Article
- Abnormal Dynamic Reconstruction of Overlapping Communities in Schizophrenia Patients.Brain sciences · 2024Article
- Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness.Science translational medicine · 2024Article
- Exploring complex and integrated information during sleep.Neuroscience of consciousness · 2024Article
- Abnormal Spatial and Temporal Overlap of Time-Varying Brain Functional Networks in Patients with Schizophrenia.Brain sciences · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
The human brain is a complex network that exhibits dynamic fluctuations in activity across space and time. Depending on the analysis method, canonical brain networks identified from resting-state fMRI (rs-fMRI) are typically constrained to be either orthogonal or statistically independent in their spatial and/or temporal domains. We avoid imposing these potentially unnatural constraints through the combination of a temporal synchronization process ("BrainSync") and a three-way tensor decomposition method ("NASCAR") to jointly analyze rs-fMRI data from multiple subjects. The resulting set of interacting networks comprises minimally constrained spatiotemporal distributions, each representing one component of functionally coherent activity across the brain. We show that these networks can be clustered into six distinct functional categories and naturally form a representative functional network atlas for a healthy population. This functional network atlas could help explore group and individual differences in neurocognitive function, as we demonstrate in the context of ADHD and IQ prediction.
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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.