ArticleScientific reports2019
Frequency specific contribution of intrinsic connectivity networks to the integration in brain networks.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Brain local structural connectomes and the subtypes of the medial temporal lobe parcellations.Frontiers in neuroscience · 2025Article
- Cortical activations in cognitive task performance at multiple frequency bands.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Integrative role of attention networks in frequency-dependent modular organization of human brain.Brain structure & function · 2024Article
- A hybrid CNN-SVM model for enhanced autism diagnosis.PloS one · 2024Article
- Connectivity gradients in spontaneous brain activity at multiple frequency bands.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Frequency-specific brain network architecture in resting-state fMRI.Scientific reports · 2023Article
- A feasibility study of goal-directed network-based real-time fMRI neurofeedback for anhedonic depression.Frontiers in psychiatry · 2023Article
- Frequency-specific coactivation patterns in resting-state and their alterations in schizophrenia: An fMRI study.Human brain mapping · 2022Article
- Impaired intrinsic functional connectivity among medial temporal lobe and sub-regions related to memory deficits in intracranial dural arteriovenous fistula.Neuroradiology · 2021Article
- Brain Knows Who Is on the Same Wavelength: Resting-State Connectivity Can Predict Compatibility of a Female-Male Relationship.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
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Authors and funding
4 authors.
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Abstract
Brain networks are integrated and segregated into several intrinsic connectivity networks (ICNs). Frequency specificity of ICNs have been studied to show that different ICNs have a unqiue contribution to brain network integration along frequencies. The purpose of this study was to evaluate the contribution of individual ICN to brain network integration along their frequency. We used 14 ICNs and determined 2 frequency bands (LF1, 0.03~0.08 Hz and LF2, 0.009~0.012 Hz) from the hierarchical clustering of 101 frequency bins. We proposed a novel measure, called ICN efficiency, representing the difference between the global efficiencies of the whole brain network with and without the ICN to evaluate the contribution of the ICN to brain network integration. We found that each ICN had a different ICN efficiency at 2 frequency bands. We also found that the distinct subregions of the same ICN had a frequency specific contribution to brain network integration. Futhermore, the integration with other ICNs of the distinct subregions of the same ICN were different at 2 frequency bands. In conclusion, the contribution of each ICN to brain network integration is frequency specific and distinct subregions of the same ICN have functionally distinct roles with other ICNs at 2 frequency bands.
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