ArticleHuman brain mapping2019
The spatial chronnectome reveals a dynamic interplay between functional segregation and integration.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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Who cites it
72 citing papers in PubMed.
- A multi-modal approach for the treatment of non-fluent/agrammatic variant of Primary Progressive Aphasia.Brain communications · 2025Trial
- Mapping the psychosis spectrum - imaging neurosubtypes from multiscale functional network connectivity.Molecular psychiatry · 2026Article
- Dynamic Estimation of Spatially Interactive Networks (DESINE) Reveals Constrained Brain Repertoire in Schizophrenia Linked to Clinical and Cognitive Symptoms.bioRxiv : the preprint server for biology · 2026Article
- Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity.bioRxiv : the preprint server for biology · 2026Article
- Postictal resting-state connectivity changes after electroconvulsive therapy-induced seizures.European archives of psychiatry and clinical neuroscience · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Resting-state connectivity and tobacco smoking in clinical high-risk for psychosis (NAPLS-3).General psychiatry · 2026Article
- Deciphering multiway multiscale brain network connectivity from birth to 6 months.Communications biology · 2026Article
- Transformers for fMRI analysis: from spatiotemporal modeling to brain foundation models.Frontiers in neuroinformatics · 2026Review
- Educational attainment and sex modulate clinical outcomes in genetic frontotemporal dementia.Brain communications · 2026Article
- NeuroMark-DyFICA: NeuroMark dynamic frequency-informed ICA with high-frequency spatial filtering for windowed fMRI analysis.Network neuroscience (Cambridge, Mass.) · 2026Article
- Diminished spatial dynamics and maladaptive spatial complexity link resting brain network disruption to cognition in schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Spatial development of brain networks during the first six postnatal months.Communications biology · 2025Article
- st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain Networks.Human brain mapping · 2025Article
- Functionally Adaptive Structural Basis Sets of the Brain: A Dynamic Fusion Approach.Human brain mapping · 2025Article
- Studying time-resolved functional connectivity via communication theory: on the complementary nature of phase synchronization and sliding window Pearson correlation.bioRxiv : the preprint server for biology · 2025Article
- Development of brain metastable dynamics during the equivalent of the third gestational trimester.Developmental cognitive neuroscience · 2025Review
- Cognitive and psychiatric relevance of dynamic functional connectivity states in a large (N > 10,000) children population.Molecular psychiatry · 2025Article
- Deciphering Multiway Multiscale Brain Network Connectivity: Insights from Birth to 6 Months.bioRxiv : the preprint server for biology · 2025Article
- Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI.IEEE open journal of engineering in medicine and biology · 2025Article
12 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors.
Funding
Abstract
The brain is highly dynamic, reorganizing its activity at different interacting spatial and temporal scales, including variation within and between brain networks. The chronnectome is a model of the brain in which nodal activity and connectivity patterns change in fundamental and recurring ways over time. Most literature assumes fixed spatial nodes/networks, ignoring the possibility that spatial nodes/networks may vary in time. Here, we introduce an approach to calculate a spatially fluid chronnectome (called the spatial chronnectome for clarity), which focuses on the variations of networks coupling at the voxel level, and identify a novel set of spatially dynamic features. Results reveal transient spatially fluid interactions between intra- and internetwork relationships in which brain networks transiently merge and separate, emphasizing dynamic segregation and integration. Brain networks also exhibit distinct spatial patterns with unique temporal characteristics, potentially explaining a broad spectrum of inconsistencies in previous studies that assumed static networks. Moreover, we show anticorrelative connections to brain networks are transient as opposed to constant across the entire scan. Preliminary assessments using a multi-site dataset reveal the ability of the approach to obtain new information and nuanced alterations that remain undetected during static analysis. Patients with schizophrenia (SZ) display transient decreases in voxel-wise network coupling within visual and auditory networks, and higher intradomain coupling variability. In summary, the spatial chronnectome represents a new direction of research enabling the study of functional networks which are transient at the voxel level, and the identification of mechanisms for within- and between-subject spatial variability.
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