ArticleJournal of computational neuroscience2014
Study of GABAergic extra-synaptic tonic inhibition in single neurons and neural populations by traversing neural scales: application to propofol-induced anaesthesia.
Article in Journal of computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 34 citations in OpenAlex.
- Anesthetic action on the transmission delay between cortex and thalamus explains the beta-buzz observed under propofol anesthesia.PloS one · 2017Trial
- Mathematical Model Insights into EEG Origin under Transcranial Direct Current Stimulation (tDCS) in the Context of Psychosis.Journal of clinical medicine · 2022Article
- A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy.Journal of computational neuroscience · 2019Article
- Optogenetic/Chemogenetic Activation of GABAergic Neurons in the Ventral Tegmental Area Facilitates General Anesthesia via Projections to the Lateral Hypothalamus in Mice.Frontiers in neural circuits · 2019Article
- Kernel Reconstruction for Delayed Neural Field Equations.Journal of mathematical neuroscience · 2018Article
- Effect of Stimulation Waveform on the Non-linear Entrainment of Cortical Alpha Oscillations.Frontiers in neuroscience · 2018Article
- Shaping Intrinsic Neural Oscillations with Periodic Stimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Complete Firing-Rate Response of Neurons with Complex Intrinsic Dynamics.PLoS computational biology · 2015Article
- How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation.Journal of computational neuroscience · 2015Article
- Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed.Frontiers in neuroinformatics · 2015Article
- Anesthetic action on extra-synaptic receptors: effects in neural population models of EEG activity.Frontiers in systems neuroscience · 2014Article
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Anaesthetic agents are known to affect extra-synaptic GABAergic receptors, which induce tonic inhibitory currents. Since these receptors are very sensitive to small concentrations of agents, they are supposed to play an important role in the underlying neural mechanism of general anaesthesia. Moreover anaesthetic agents modulate the encephalographic activity (EEG) of subjects and hence show an effect on neural populations. To understand better the tonic inhibition effect in single neurons on neural populations and hence how it affects the EEG, the work considers single neurons and neural populations in a steady-state and studies numerically and analytically the modulation of their firing rate and nonlinear gain with respect to different levels of tonic inhibition. We consider populations of both type-I (Leaky Integrate-and-Fire model) and type-II (Morris-Lecar model) neurons. To bridge the single neuron description to the population description analytically, a recently proposed statistical approach is employed which allows to derive new analytical expressions for the population firing rate for type-I neurons. In addition, the work shows the derivation of a novel transfer function for type-I neurons as considered in neural mass models and studies briefly the interaction of synaptic and extra-synaptic inhibition. We reveal a strong subtractive and divisive effect of tonic inhibition in type-I neurons, i.e. a shift of the firing rate to higher excitation levels accompanied by a change of the nonlinear gain. Tonic inhibition shortens the excitation window of type-II neurons and their populations while maintaining the nonlinear gain. The gained results are interpreted in the context of recent experimental findings under propofol-induced anaesthesia.
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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.