ArticleNeuroImage2008
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
Article in NeuroImage, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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Who cites it
71 citing papers in PubMed.
- Free energy, precision and learning: the role of cholinergic neuromodulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Trial
- Connectivity changes underlying spectral EEG changes during propofol-induced loss of consciousness.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012Trial
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- A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings.NeuroImage · 2023Article
- Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex.PLoS computational biology · 2022Article
- Bidirectionally Regulating Gamma Oscillations in Wilson-Cowan Model by Self-Feedback Loops: A Computational Study.Frontiers in systems neuroscience · 2022Article
- A Novel Method to Assess Motor Cortex Connectivity and Event Related Desynchronization Based on Mass Models.Brain sciences · 2021Article
- Cortical beta oscillations reflect the contextual gating of visual action feedback.NeuroImage · 2020Article
- Transfer Entropy as a Measure of Brain Connectivity: A Critical Analysis With the Help of Neural Mass Models.Frontiers in computational neuroscience · 2020Article
- Dynamic causal modelling revisited.NeuroImage · 2019Article
- Thalamocortical dynamics underlying spontaneous transitions in beta power in Parkinsonism.NeuroImage · 2019Article
- A functional Magnetic Resonance Imaging study of patients with Polar Type II/III complex shoulder instability.Scientific reports · 2019Article
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- Glutamatergic Signaling Drives Ketamine-Mediated Response in Depression: Evidence from Dynamic Causal Modeling.The international journal of neuropsychopharmacology · 2018Article
- Ion channels in EEG: isolating channel dysfunction in NMDA receptor antibody encephalitis.Brain : a journal of neurology · 2018Article
- Brain network eigenmodes provide a robust and compact representation of the structural connectome in health and disease.PLoS computational biology · 2017Article
- Facial Expressions Evoke Differential Neural Coupling in Macaques.Cerebral cortex (New York, N.Y. : 1991) · 2017Article
- Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.Cerebral cortex (New York, N.Y. : 1991) · 2016Article
11 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
We describe a Bayesian inference scheme for quantifying the active physiology of neuronal ensembles using local field recordings of synaptic potentials. This entails the inversion of a generative neural mass model of steady-state spectral activity. The inversion uses Expectation Maximization (EM) to furnish the posterior probability of key synaptic parameters and the marginal likelihood of the model itself. The neural mass model embeds prior knowledge pertaining to both the anatomical [synaptic] circuitry and plausible trajectories of neuronal dynamics. This model comprises a population of excitatory pyramidal cells, under local interneuron inhibition and driving excitation from layer IV stellate cells. Under quasi-stationary assumptions, the model can predict the spectral profile of local field potentials (LFP). This means model parameters can be optimised given real electrophysiological observations. The validity of inferences about synaptic parameters is demonstrated using simulated data and experimental recordings from the medial prefrontal cortex of control and isolation-reared Wistar rats. Specifically, we examined the maximum a posteriori estimates of parameters describing synaptic function in the two groups and tested predictions derived from concomitant microdialysis measures. The modelling of the LFP recordings revealed (i) a sensitization of post-synaptic excitatory responses, particularly marked in pyramidal cells, in the medial prefrontal cortex of socially isolated rats and (ii) increased neuronal adaptation. These inferences were consistent with predictions derived from experimental microdialysis measures of extracellular glutamate levels.
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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.