ArticleScientific reports2023
Frequency-specific brain network architecture in resting-state fMRI.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Mapping Brain Function After Stroke: From Early Disorganization to Late Compensation.Neurorehabilitation and neural repair · 2026Article
- Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Mapping Functional Brain Organization Using Artificial Intelligence.Chemical & biomedical imaging · 2026Review
- Slow-Oscillation Neurofeedback: A Narrative Review on Clinical Efficacy in Pediatric Settings.Behavioral sciences (Basel, Switzerland) · 2026Review
- Frequency-specific resting state fMRI features in gliomas.Journal of neuro-oncology · 2026Article
- CCPD under sparsity and low-rank constraints: multi-frequency dynamic functional network connectivity analysis in schizophrenia.Frontiers in neuroscience · 2026Article
- 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
- [Analyzing Frequency-Dependent Human Brain Information Flow in Resting-State fMRI Using Multiple Effective Connectivity Methods].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- A brain structure learning-guided multi-view graph representation learning for brain network analysis.Quantitative imaging in medicine and surgery · 2024Article
- Network representation of multicellular activity in pancreatic islets: Technical considerations for functional connectivity analysis.PLoS computational biology · 2024Article
- Motor learning- and consolidation-related resting state fast and slow brain dynamics across wake and sleep.Scientific reports · 2024Article
- Functional MR elastography measures visual cortex stiffening proportional to visual contrast intensity in regions of activation.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Frequency modulation increases the specificity of time-resolved connectivity: A resting-state fMRI study.Network neuroscience (Cambridge, Mass.) · 2024Article
- Distinct functional subnetworks of cognitive domains in older adults with minor cognitive deficits.Brain communications · 2024Article
- Mapping high-amplitude fMRI edge time series events across space and time.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The analysis of brain function in resting-state network (RSN) models, ascertained through the functional connectivity pattern of resting-state functional magnetic resonance imaging (rs-fMRI), is sufficiently powerful for studying large-scale functional integration of the brain. However, in RSN-based research, the network architecture has been regarded as the same through different frequency bands. Thus, here, we aimed to examined whether the network architecture changes with frequency. The blood oxygen level-dependent (BOLD) signal was decomposed into four frequency bands-ranging from 0.007 to 0.438 Hz-and the clustering algorithm was applied to each of them. The best clustering number was selected for each frequency band based on the overlap ratio with task activation maps. The results demonstrated that resting-state BOLD signals exhibited frequency-specific network architecture; that is, the networks finely subdivided in the lower frequency bands were integrated into fewer networks in higher frequency bands rather than reconfigured, and the default mode network and networks related to perception had sufficiently strong architecture to survive in an environment with a lower signal-to-noise ratio. These findings provide a novel framework to enable improved understanding of brain function through the multiband frequency analysis of ultra-slow rs-fMRI data.
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