ArticleNetwork neuroscience (Cambridge, Mass.)2022
Multi-spatial-scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia.
Article in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.
- Brain-based sex differences in schizophrenia: A systematic review of fMRI studies.Human brain mapping · 2024Pooled it
- Mapping the psychosis spectrum - imaging neurosubtypes from multiscale functional network connectivity.Molecular psychiatry · 2026Article
- Cortical Structures Underlying Schizophrenia and Sex Differences in Preadolescents: An Adolescent Brain Cognitive Development Study.Child psychiatry and human development · 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
- Explicitly nonlinear fMRI networks reveal hidden trajectories of infant brain development.bioRxiv : the preprint server for biology · 2026Article
- Spatiotemporal complexity in the psychotic brain.Molecular psychiatry · 2026Article
- Deciphering multiway multiscale brain network connectivity from birth to 6 months.Communications biology · 2026Article
- Spatial development of brain networks during the first six postnatal months.Communications biology · 2025Article
- Semantic locality-aware biclustering for brain functional network connectivity.Scientific reports · 2025Article
- A Method for Estimating Dynamic Functional Network Connectivity Gradients (dFNGs) From ICA Captures Smooth Inter-Network Modulation.Human brain mapping · 2025Article
- Toward Granular Brain Intrinsic Connectivity Networks and Insights into Schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Deciphering Multiway Multiscale Brain Network Connectivity: Insights from Birth to 6 Months.bioRxiv : the preprint server for biology · 2025Article
- Ultrafine brain intrinsic connectivity networks template via very-high-order independent component analysis of large-scale resting-state functional magnetic resonance imaging data.Frontiers in neuroscience · 2025Article
- A telescopic independent component analysis on functional magnetic resonance imaging dataset.Network neuroscience (Cambridge, Mass.) · 2025Article
- A multi-frequency ICA-based approach for estimating voxelwise frequency difference patterns in fMRI data.Aperture neuro · 2025Article
- Evidence for white matter intrinsic connectivity networks at rest and during a task: A large-scale study and templates.Network neuroscience (Cambridge, Mass.) · 2025Article
- Addressing Inconsistency in Functional Neuroimaging: A Replicable Data-Driven Multi-Scale Functional Atlas for Canonical Brain Networks.bioRxiv : the preprint server for biology · 2024Article
- Imaging-genomic spatial-modality attentive fusion for studying neuropsychiatric disorders.Human brain mapping · 2024Article
- Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links to Genetic Risk.Biological psychiatry · 2024Article
- 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia.Human brain mapping · 2024Article
Corrections and comments
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Authors and funding
16 authors at 9 institutions in 1 country.
Funding
Abstract
We introduce an extension of independent component analysis (ICA), called multiscale ICA, and design an approach to capture dynamic functional source interactions within and between multiple spatial scales. Multiscale ICA estimates functional sources at multiple spatial scales without imposing direct constraints on the size of functional sources, overcomes the limitation of using fixed anatomical locations, and eliminates the need for model-order selection in ICA analysis. We leveraged this approach to study sex-specific and sex-common connectivity patterns in schizophrenia. Results show dynamic reconfiguration and interaction within and between multi-spatial scales. Sex-specific differences occur (a) within the subcortical domain, (b) between the somatomotor and cerebellum domains, and (c) between the temporal domain and several others, including the subcortical, visual, and default mode domains. Most of the sex-specific differences belong to between-spatial-scale functional interactions and are associated with a dynamic state with strong functional interactions between the visual, somatomotor, and temporal domains and their anticorrelation patterns with the rest of the brain. We observed significant correlations between multi-spatial-scale functional interactions and symptom scores, highlighting the importance of multiscale analyses to identify potential biomarkers for schizophrenia. As such, we recommend such analyses as an important option for future functional connectivity studies.
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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 Socratic graph.