Tracking slow modulations in synaptic gain using dynamic causal modelling: Validation in epilepsy

• Published in: NeuroImage (Orlando, Fla.) Vol. 107; pp. 117 - 126
• Main Authors: Papadopoulou, Margarita, Leite, Marco, van Mierlo, Pieter, Vonck, Kristl, Lemieux, Louis, Friston, Karl, Marinazzo, Daniele
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.02.2015; Elsevier Limited; Academic Press
• Subjects: Bayes Theorem; Bayesian analysis; Biomedical research; Brain research; Causality; Computer Simulation; Conflicts of interest; Convulsions & seizures; Drug Resistant Epilepsy - physiopathology; Dynamical causal modelling; Dynamical connectivity; EEG; Electroencephalography; Epilepsy; Epilepsy - physiopathology; Female; Humans; Hypotheses; Information theory; Middle Aged; Models, Neurological; Nerve Net - physiopathology; Neural mass models; Neural networks; Neurons; Pyramidal Cells; Scholarships & fellowships; Seizure onset; Seizures; Seizures - physiopathology; Studies; Synapses; Time series; Validity; Neural mass models; Dynamical causal modelling; Seizure onset; CSD; EEG; Epilepsy; Dynamical connectivity; Electroencephalography; DCM; SOZ

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...