ArticleNeuroImage2015
Tracking slow modulations in synaptic gain using dynamic causal modelling: validation in epilepsy.
Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Limitations of Variational Laplace-Based Dynamic Causal Modelling for Multistable Cortical Circuits.Neuroinformatics · 2026Article
- High-resolution Bayesian Virtual Epileptic Patient using neural field models.Network neuroscience (Cambridge, Mass.) · 2026Article
- Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia.Schizophrenia bulletin · 2023Article
- The right inferior frontal gyrus as pivotal node and effective regulator of the basal ganglia-thalamocortical response inhibition circuit.Psychoradiology · 2023Article
- Task-Dependent Effective Connectivity of the Reward Network During Food Cue-Reactivity: A Dynamic Causal Modeling Investigation.Frontiers in behavioral neuroscience · 2022Article
- Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference.Communications biology · 2021Article
- Adiabatic dynamic causal modelling.NeuroImage · 2021Article
- Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography.PLoS computational biology · 2021Article
- State-Dependent Effective Connectivity in Resting-State fMRI.Frontiers in neural circuits · 2021Article
- Structure learning in coupled dynamical systems and dynamic causal modelling.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019Article
- Estimating Directed Connectivity from Cortical Recordings and Reconstructed Sources.Brain topography · 2019Article
- Article
- Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches.Network neuroscience (Cambridge, Mass.) · 2019Review
- Not All Predictions Are Equal: "What" and "When" Predictions Modulate Activity in Auditory Cortex through Different Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Seizure pathways: A model-based investigation.PLoS computational biology · 2018Article
- Calcium imaging and dynamic causal modelling reveal brain-wide changes in effective connectivity and synaptic dynamics during epileptic seizures.PLoS computational biology · 2018Article
- Network dynamics in the healthy and epileptic developing brain.Network neuroscience (Cambridge, Mass.) · 2018Article
- The Cumulative Effects of Predictability on Synaptic Gain in the Auditory Processing Stream.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Suppressing epileptic activity in a neural mass model using a closed-loop proportional-integral controller.Scientific reports · 2016Article
- Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating.NeuroImage · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
In this work we propose a proof of principle that dynamic causal modelling can identify plausible mechanisms at the synaptic level underlying brain state changes over a timescale of seconds. As a benchmark example for validation we used intracranial electroencephalographic signals in a human subject. These data were used to infer the (effective connectivity) architecture of synaptic connections among neural populations assumed to generate seizure activity. Dynamic causal modelling allowed us to quantify empirical changes in spectral activity in terms of a trajectory in parameter space - identifying key synaptic parameters or connections that cause observed signals. Using recordings from three seizures in one patient, we considered a network of two sources (within and just outside the putative ictal zone). Bayesian model selection was used to identify the intrinsic (within-source) and extrinsic (between-source) connectivity. Having established the underlying architecture, we were able to track the evolution of key connectivity parameters (e.g., inhibitory connections to superficial pyramidal cells) and test specific hypotheses about the synaptic mechanisms involved in ictogenesis. Our key finding was that intrinsic synaptic changes were sufficient to explain seizure onset, where these changes showed dissociable time courses over several seconds. Crucially, these changes spoke to an increase in the sensitivity of principal cells to intrinsic inhibitory afferents and a transient loss of excitatory-inhibitory balance.
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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.