ArticleBrain sciences2021
The Relationship between Oscillations in Brain Regions and Functional Connectivity: A Critical Analysis with the Aid of Neural Mass Models.
Article in Brain sciences, 2021. 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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10 citing papers in PubMed, 20 citations in OpenAlex.
- The Endocannabinoid-Microbiota-Neuroimmune Super-System: A Unifying Feedback Architecture for Systems Resilience, Collapse Trajectories, and Precision Feedback Medicine.International journal of molecular sciences · 2025Review
- Distinct Alpha Connectivity Patterns During Response Inhibition in Alcohol Use Disorder.Human brain mapping · 2025Article
- Aberrant Functional Connectivity and Brain Network Organization in High-Schizotypy Individuals: An Electroencephalography Study.Schizophrenia bulletin · 2025Article
- Neural mechanisms of adaptive behavior: Dissociating local cortical modulations and interregional communication patterns.iScience · 2024Article
- Changes in brain rhythms and connectivity tracking fear acquisition and reversal.Brain structure & function · 2023Article
- Emotion Recognition Using a Novel Granger Causality Quantifier and Combined Electrodes of EEG.Brain sciences · 2023Article
- Neural Networks and Connectivity among Brain Regions.Brain sciences · 2022Article
- Bottom-up vs. top-down connectivity imbalance in individuals with high-autistic traits: An electroencephalographic study.Frontiers in systems neuroscience · 2022Article
- Article
- The Directionality of Fronto-Posterior Brain Connectivity Is Associated with the Degree of Individual Autistic Traits.Brain sciences · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Propagation of brain rhythms among cortical regions is a relevant aspect of cognitive neuroscience, which is often investigated using functional connectivity (FC) estimation techniques. The aim of this work is to assess the relationship between rhythm propagation, FC and brain functioning using data generated from neural mass models of connected Regions of Interest (ROIs). We simulated networks of four interconnected ROIs, each with a different intrinsic rhythm (in θ, α, β and γ ranges). Connectivity was estimated using eight estimators and the relationship between structural connectivity and FC was assessed as a function of the connectivity strength and of the inputs to the ROIs. Results show that the Granger estimation provides the best accuracy, with a good capacity to evaluate the connectivity strength. However, the estimated values strongly depend on the input to the ROIs and hence on nonlinear phenomena. When a population works in the linear region, its capacity to transmit a rhythm increases drastically. Conversely, when it saturates, oscillatory activity becomes strongly affected by rhythms incoming from other regions. Changes in functional connectivity do not always reflect a physical change in the synapses. A unique connectivity network can propagate rhythms in very different ways depending on the specific working conditions.
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