ArticleFrontiers in human neuroscience2013
Distinguishing mechanisms of gamma frequency oscillations in human current source signals using a computational model of a laminar neocortical network.
Article in Frontiers in human neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- No effects of transcranial direct current stimulation on visual evoked potential and peak gamma frequency.Cognitive processing · 2022Trial
- Uncovering putative neural mechanisms of neurotherapeutic impacts on EEG using the Human Neocortical Neurosolver.bioRxiv : the preprint server for biology · 2026Article
- Article
- Modeling the impact of neuromorphological alterations in Down syndrome on fast neural oscillations.PLoS computational biology · 2024Article
- Neuronal Modeling of Cross-Sensory Visual Evoked Magnetoencephalography Responses in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli.bioRxiv : the preprint server for biology · 2024Article
- A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings.NeuroImage · 2023Article
- Article
- Non-zero mean alpha oscillations revealed with computational model and empirical data.PLoS computational biology · 2022Article
- Finely-tuned gamma oscillations: Spectral characteristics and links to dyskinesia.Experimental neurology · 2022Review
- Neural Mechanisms Underlying Human Auditory Evoked Responses Revealed By Human Neocortical Neurosolver.Brain topography · 2022Article
- No Evidence for Entrainment: Endogenous Gamma Oscillations and Rhythmic Flicker Responses Coexist in Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- The visual cortex produces gamma band echo in response to broadband visual flicker.PLoS computational biology · 2021Article
- Differences in visually induced MEG oscillations reflect differences in deep cortical layer activity.Communications biology · 2020Article
- Control of brain network dynamics across diverse scales of space and time.Physical review. E · 2020Article
- Transient neocortical gamma oscillations induced by neuronal response modulation.Journal of computational neuroscience · 2020Article
- Article
- Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding.Frontiers in computational neuroscience · 2020Review
- EEGSourceSim: A framework for realistic simulation of EEG scalp data using MRI-based forward models and biologically plausible signals and noise.Journal of neuroscience methods · 2019Article
- Neonatal EEG linked to individual differences in socioemotional outcomes and autism risk in toddlers.Developmental psychobiology · 2019Article
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2 authors.
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Abstract
Gamma frequency rhythms have been implicated in numerous studies for their role in healthy and abnormal brain function. The frequency band has been described to encompass as broad a range as 30-150 Hz. Crucial to understanding the role of gamma in brain function is an identification of the underlying neural mechanisms, which is particularly difficult in the absence of invasive recordings in macroscopic human signals such as those from magnetoencephalography (MEG) and electroencephalography (EEG). Here, we studied features of current dipole (CD) signals from two distinct mechanisms of gamma generation, using a computational model of a laminar cortical circuit designed specifically to simulate CDs in a biophysically principled manner (Jones et al., 2007, 2009). We simulated spiking pyramidal interneuronal gamma (PING) whose period is regulated by the decay time constant of GABAA-mediated synaptic inhibition and also subthreshold gamma driven by gamma-periodic exogenous excitatory synaptic drive. Our model predicts distinguishable CD features created by spiking PING compared to subthreshold driven gamma that can help to disambiguate mechanisms of gamma oscillations in human signals. We found that gamma rhythms in neocortical layer 5 can obscure a simultaneous, independent gamma in layer 2/3. Further, we arrived at a novel interpretation of the origin of high gamma frequency rhythms (100-150 Hz), showing that they emerged from a specific temporal feature of CDs associated with single cycles of PING activity and did not reflect a separate rhythmic process. Last we show that the emergence of observable subthreshold gamma required highly coherent exogenous drive. Our results are the first to demonstrate features of gamma oscillations in human current source signals that distinguish cellular and circuit level mechanisms of these rhythms and may help to guide understanding of their functional role.
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