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Journal ArticleDOI

Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition.

TLDR
Results show that strikingly realistic activity is produced by the model when compared to real EEG signals recorded with intracerebral electrodes, and show that the transition from interictal to fast ictal activity is explained by the impairment of dendritic inhibition.
Abstract
This paper focuses on high-frequency (gamma band) EEG activity, the most characteristic electrophysiological pattern in focal seizures of human epilepsy. It starts with recent hypotheses about: (i) the behaviour of inhibitory interneurons in hippocampal or neocortical networks in the generation of gamma frequency oscillations; (ii) the nonuniform alteration of GABAergic inhibition in experimental epilepsy (reduced dendritic inhibition and increased somatic inhibition); and (iii) the possible depression of GABA A , f a s t circuit activity by GABA A , s l o w inhibitory postsynaptic currents. In particular, these hypotheses are introduced in a new computational macroscopic model of EEG activity that includes a physiologically relevant fast inhibitory feedback loop. Results show that strikingly realistic activity is produced by the model when compared to real EEG signals recorded with intracerebral electrodes. They show that, in the model, the transition from interictal to fast ictal activity is explained by the impairment of dendritic inhibition.

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Citations
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Journal ArticleDOI

Seizure prediction: the long and winding road.

TL;DR: A critically discuss the literature on seizure prediction and address some of the problems and pitfalls involved in the designing and testing of seizure-prediction algorithms, and point towards possible future developments and propose methodological guidelines for future studies on seizure predictions.
Journal ArticleDOI

The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

TL;DR: It is argued that elaborating principled and informed models is a prerequisite for grounding empirical neuroscience in a cogent theoretical framework, commensurate with the achievements in the physical sciences.
Journal ArticleDOI

A neural mass model for MEG/EEG: coupling and neuronal dynamics.

TL;DR: This work extended the classical nonlinear lumped-parameter model of alpha rhythms, initially developed by Lopes da Silva and colleagues, to generate more complex dynamics and shows that the whole spectrum of MEG/EEG signals can be reproduced within the oscillatory regime of this model by simply changing the population kinetics.
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On the nature of seizure dynamics

TL;DR: A taxonomy of seizures based on first principles is established and only five state variables linked by integral-differential equations are sufficient to describe the onset, time course and offset of ictal-like discharges as well as their recurrence.
Journal ArticleDOI

Dynamic causal modeling of evoked responses in EEG and MEG

TL;DR: A Bayesian procedure to estimate the parameters of this extended forward model is described, characterizing the role of changes in cortico-cortical coupling, in the genesis of ERPs, and showing that category- or context-specific coupling among cortical regions can be assessed explicitly, within a mechanistic, biologically motivated inference framework.
References
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Journal ArticleDOI

Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns

TL;DR: It was found that the previously developed lumped-parameter model of a single cortical column could produce a large variety of EEG-like waveforms and rhythms and suggest that the scalp-recorded EP is at least partially due to a phase reordering of the ongoing activity.
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Differences between somatic and dendritic inhibition in the hippocampus

TL;DR: Hippocampal synaptic inhibition is mediated by distinct groups of inhibitory cells that may differentially control dendritic electrogenesis and axonal output of hippocampal pyramidal cells.
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Inhibition-based rhythms: experimental and mathematical observations on network dynamics

TL;DR: This review will provide the reader with a brief outline of the basic properties of inhibition-based oscillations in the CNS by combining research from laboratory models, large-scale neuronal network simulations, and mathematical analysis.
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Model of brain rhythmic activity. The alpha-rhythm of the thalamus.

TL;DR: In this paper, a model of a neuronal network has been set up in a digital computer based on histological and biophysical data experimentally obtained from the thalamus; the model includes two populations of neurons interconnected by means of negative feedback; in the model allowance is also made for other sort of interactions.
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Hippocampal and Entorhinal Cortex High-Frequency Oscillations (100-500 Hz) in Human Epileptic Brain and in Kainic Acid-Treated Rats with Chronic Seizures

TL;DR: Property of oscillations with frequencies >100 Hz were studied in kainic acid (KA)‐treated rats and compared with those recorded in normal and kindled rats as well as in patients with epilepsy to determine differences associated with epilepsy.
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