ArticleBiological psychiatry2024
Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links to Genetic Risk.
Article in Biological psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Aberrant cortical-subcortical-cerebellar connectivity in resting-state fMRI as an imaging marker of schizophrenia and psychosis: a systematic review of data-driven whole-brain functional connectivity analyses.Frontiers in neuroimaging · 2025Pooled it
- Mapping the psychosis spectrum - imaging neurosubtypes from multiscale functional network connectivity.Molecular psychiatry · 2026Article
- Concurrent Supervised-Unsupervised Representative Subspace Clustering (CSU-RSC).bioRxiv : the preprint server for biology · 2026Article
- Group Joint ICA (gjICA): A Method for Multimodal Fusion of Concurrent EEG and fMRI Data.Human brain mapping · 2026Article
- Childhood absence epilepsy and distinct dynamic functional network connectivity patterns in self-limited epilepsy with centrotemporal spikes: a resting-state fMRI study.Pediatric research · 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
- Robustness of NeuroMark-Derived Functional Networks to fMRI Spatial Normalization Across the Human Lifespan.bioRxiv : the preprint server for biology · 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
- Topologically Optimized Intrinsic Brain Networks.Human brain mapping · 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
- Key regions aberrantly connected within cerebello-thalamo-cortical circuit and their genetic mechanism in schizophrenia: an fMRI meta-analysis and transcriptome study.Schizophrenia (Heidelberg, Germany) · 2025Review
- Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity.Frontiers in neuroscience · 2025Article
- Attention-mediated genetic influences on psychotic symptomatology in adolescence.Nature. Mental health · 2024Article
- 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia.Human brain mapping · 2024Article
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19 authors.
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Abstract
backgroundSchizophrenia research reveals sex differences in incidence, symptoms, genetic risk factors, and brain function. However, a knowledge gap remains regarding sex-specific schizophrenia alterations in brain function. Schizophrenia is considered a dysconnectivity syndrome, but the dynamic integration and segregation of brain networks are poorly understood. Recent advances in resting-state functional magnetic resonance imaging allow us to study spatial dynamics, the phenomenon of brain networks spatially evolving over time. Nevertheless, estimating time-resolved networks remains challenging due to low signal-to-noise ratio, limited short-time information, and uncertain network identification.
methodsWe adapted a reference-informed network estimation technique to capture time-resolved networks and their dynamic spatial integration and segregation for 193 individuals with schizophrenia and 315 control participants. We focused on time-resolved spatial functional network connectivity, an estimate of network spatial coupling, to study sex-specific alterations in schizophrenia and their links to genomic data.
resultsOur findings are consistent with the dysconnectivity and neurodevelopment hypotheses and with the cerebello-thalamo-cortical, triple-network, and frontoparietal dysconnectivity models, helping to unify them. The potential unification offers a new understanding of the underlying mechanisms. Notably, the posterior default mode/salience spatial functional network connectivity exhibits sex-specific schizophrenia alteration during the state with the highest global network integration and is correlated with genetic risk for schizophrenia. This dysfunction is reflected in regions with weak functional connectivity to corresponding networks.
conclusionsOur method can effectively capture spatially dynamic networks, detect nuanced schizophrenia effects including sex-specific ones, and reveal the intricate relationship of dynamic information to genomic data. The results also underscore the clinical potential of dynamic spatial dependence and weak connectivity.
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