ArticleScientific reports2017
Dynamics of functional connectivity at high spatial resolution reveal long-range interactions and fine-scale organization.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large-scale resting-state functional brain networks in aging.Psychophysiology · 2023Pooled it
- Dynamic functional connectivity is related to cognitive performance of prodromal Lewy body dementia.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Learning evoked centrality dynamics in the schizophrenia brain: entropy, heterogeneity, and inflexibility of brain networks.Journal of psychiatry & neuroscience : JPN · 2025Article
- Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders.Brain : a journal of neurology · 2025Review
- Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping.IEEE transactions on medical imaging · 2022Article
- Revisiting brain rewiring and plasticity in children born without corpus callosum.Developmental science · 2021Article
- Brain parcellation driven by dynamic functional connectivity better capture intrinsic network dynamics.Human brain mapping · 2021Article
- Greater Dynamic and Lower Static Functional Brain Connectivity Prospectively Predict Placebo Response in Pediatric Generalized Anxiety Disorder.Journal of child and adolescent psychopharmacology · 2020Article
- Modelling subject variability in the spatial and temporal characteristics of functional modes.NeuroImage · 2020Article
- Low-Dimensional Spatiotemporal Dynamics Underlie Cortex-wide Neural Activity.Current biology : CB · 2020Article
- Modulation of epileptic networks by transient interictal epileptic activity: A dynamic approach to simultaneous EEG-fMRI.NeuroImage. Clinical · 2020Article
- Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks.Brain topography · 2019Review
- The spatial chronnectome reveals a dynamic interplay between functional segregation and integration.Human brain mapping · 2019Article
- Spatial dynamics within and between brain functional domains: A hierarchical approach to study time-varying brain function.Human brain mapping · 2019Article
- A Comparison of Static and Dynamic Functional Connectivities for Identifying Subjects and Biological Sex Using Intrinsic Individual Brain Connectivity.Scientific reports · 2019Article
- Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis.Frontiers in neuroscience · 2019Review
- Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects.Frontiers in neuroscience · 2019Article
- Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition.Frontiers in computational neuroscience · 2019Article
- Regions of Interest as nodes of dynamic functional brain networks.Network neuroscience (Cambridge, Mass.) · 2018Article
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2 authors.
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Abstract
Dynamic functional connectivity (dFC) derived from resting-state functional magnetic resonance imaging sheds light onto moment-to-moment reconfigurations of large-scale functional brain networks. Due to computational limits, connectivity is typically computed using pre-defined atlases, a non-trivial choice that might influence results. Here, we leverage new computational methods to retrieve dFC at the voxel level in terms of dominant patterns of fluctuations, and demonstrate that this new representation is informative to derive meaningful brain parcellations, capturing both long-range interactions and fine-scale local organization. Specifically, voxelwise dFC dominant patterns were captured through eigenvector centrality followed by clustering across time/subjects to yield most representative dominant patterns (RDPs). Voxel-wise labeling according to positive/negative contributions to RDPs, led to 37 unique labels identifying strikingly symmetric dFC long-range patterns. These included 449 contiguous regions, defining a fine-scale parcellation consistent with known cortical/subcortical subdivisions. Our contribution provides an alternative to obtain a whole-brain parcellation that is for the first time driven by voxel-level dFC and bridges the gap between voxel-based approaches and graph theoretical analysis.
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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.