ArticleFrontiers in neural circuits2021
Frequency-Resolved Functional Connectivity: Role of Delay and the Strength of Connections.
Article in Frontiers in neural circuits, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Decoding the impact of visual states on adaptive deep brain stimulation feedback signals in movement disorders.NPJ Parkinson's disease · 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
- Multi-Metric Approach for the Comparison of Denoising Techniques for Resting-State fMRI.Human brain mapping · 2025Article
- Preparatory activity of anterior insula predicts conflict errors: integrating convolutional neural networks and neural mass models.Scientific reports · 2024Article
- Synchronization of delayed coupled neurons with multiple synaptic connections.Cognitive neurodynamics · 2024Article
- Delay-dependent transitions of phase synchronization and coupling symmetry between neurons shaped by spike-timing-dependent plasticity.Cognitive neurodynamics · 2023Article
- Spike-Timing-Dependent Plasticity Mediated by Dopamine and its Role in Parkinson's Disease Pathophysiology.Frontiers in network physiology · 2022Review
- Frequency-Resolved Functional Connectivity: Role of Delay and the Strength of Connections.Frontiers in neural circuits · 2021Article
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2 authors.
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Abstract
The brain functional network extracted from the BOLD signals reveals the correlated activity of the different brain regions, which is hypothesized to underlie the integration of the information across functionally specialized areas. Functional networks are not static and change over time and in different brain states, enabling the nervous system to engage and disengage different local areas in specific tasks on demand. Due to the low temporal resolution, however, BOLD signals do not allow the exploration of spectral properties of the brain dynamics over different frequency bands which are known to be important in cognitive processes. Recent studies using imaging tools with a high temporal resolution has made it possible to explore the correlation between the regions at multiple frequency bands. These studies introduce the frequency as a new dimension over which the functional networks change, enabling brain networks to transmit multiplex of information at any time. In this computational study, we explore the functional connectivity at different frequency ranges and highlight the role of the distance between the nodes in their correlation. We run the generalized Kuramoto model with delayed interactions on top of the brain's connectome and show that how the transmission delay and the strength of the connections, affect the correlation between the pair of nodes over different frequency bands.
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