ArticlePLoS computational biology2016
Cortical Resonance Frequencies Emerge from Network Size and Connectivity.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 53 citations in OpenAlex.
- Evidence for frequency-dependent cortical plasticity in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2017Trial
- Age-Related Changes in EEG Signal Complexity and Behavioral Variability from Childhood to Adulthood: A Multiscale Entropy Approach.Entropy (Basel, Switzerland) · 2026Article
- Revisiting alpha-theta cross-frequency dynamics during working memory.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Brain Complexity and Parametrization of Power Spectral Density in Children with Specific Language Impairment.Entropy (Basel, Switzerland) · 2025Article
- Beyond-local neural information processing in neuronal networks.Computational and structural biotechnology journal · 2024Article
- The cognitive triad network - oscillation - behaviour links individual differences in EEG theta frequency with task performance and effective connectivity.Scientific reports · 2024Article
- A High-Resolution LED Stimulator for Steady-State Visual Stimulation: Customizable, Affordable, and Open Source.Sensors (Basel, Switzerland) · 2024Article
- Linear and Non-linear Analyses of EEG in a Group of ASD Children During Resting State Condition.Brain topography · 2023Article
- When do bursts matter in the primary motor cortex? Investigating changes in the intermittencies of beta rhythms associated with movement states.Progress in neurobiology · 2023Article
- Noise-modulated multistable synapses in a Wilson-Cowan-based model of plasticity.Frontiers in computational neuroscience · 2023Article
- The dynamics of reading complex words: evidence from steady-state visual evoked potentials.Scientific reports · 2021Article
- Cholinergic neuromodulation of inhibitory interneurons facilitates functional integration in whole-brain models.PLoS computational biology · 2021Article
- Individual Alpha Frequency Determines the Impact of Bottom-Up Drive on Visual Processing.Cerebral cortex communications · 2021Article
- GABA Modulates Frequency-Dependent Plasticity in Humans.iScience · 2020Article
- Probing regional cortical excitability via input-output properties using transcranial magnetic stimulation and electroencephalography coupling.Human brain mapping · 2020Article
- 20 Hz Steady-State Response in Somatosensory Cortex During Induction of Tactile Perceptual Learning Through LTP-Like Sensory Stimulation.Frontiers in human neuroscience · 2020Article
- Flexible resonance in prefrontal networks with strong feedback inhibition.PLoS computational biology · 2018Article
- Electroencephalographic derived network differences in Lewy body dementia compared to Alzheimer's disease patients.Scientific reports · 2018Article
- Frequency shift in topography of spontaneous brain rhythms from childhood to adulthood.Cognitive neurodynamics · 2017Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Neural oscillations occur within a wide frequency range with different brain regions exhibiting resonance-like characteristics at specific points in the spectrum. At the microscopic scale, single neurons possess intrinsic oscillatory properties, such that is not yet known whether cortical resonance is consequential to neural oscillations or an emergent property of the networks that interconnect them. Using a network model of loosely-coupled Wilson-Cowan oscillators to simulate a patch of cortical sheet, we demonstrate that the size of the activated network is inversely related to its resonance frequency. Further analysis of the parameter space indicated that the number of excitatory and inhibitory connections, as well as the average transmission delay between units, determined the resonance frequency. The model predicted that if an activated network within the visual cortex increased in size, the resonance frequency of the network would decrease. We tested this prediction experimentally using the steady-state visual evoked potential where we stimulated the visual cortex with different size stimuli at a range of driving frequencies. We demonstrate that the frequency corresponding to peak steady-state response inversely correlated with the size of the network. We conclude that although individual neurons possess resonance properties, oscillatory activity at the macroscopic level is strongly influenced by network interactions, and that the steady-state response can be used to investigate functional networks.
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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 OpenQuestion graph.