Modeling of neuronal population activation under electroconvulsive therapy
Year: 2014
Type: article
Abstract: Electroconvulsive therapy (ECT) is a procedure that involves the induction of seizures in the brain of patients
with severe psychiatric disorders. The efficacy and therapeutic outcome of electrically-induced seizures is
dependent upon both the stimulus intensity and the electrode placement over the scalp, with potentially significant memory
loss as side effect. Over the years, ECT modeling aimed to understand current propagation in the
head medium with increasingly realistic geometry and conductivity descriptions. The utility of these models
remain limited since seizure propagation in the active neural tissue has largely been ignored. Accordingly, a
modeling framework that combines head conductivity models with active neural models to describe observed
EEG signals under ECT is highly desirable. We present herein a simplified multi-area active neural model
that describes (i) the transition from normal to seizure states under external stimuli with particular emphasis
on disinhibition and (ii) the initiation and propagation of seizures between multiple connected brain areas. A
simulation scenario is shown to qualitatively resemble clinical EEG recordings of ECT. Fitting model param-
eters is then performed using modern nonlinear state estimation approaches (cubature Kalman filters). Future
work will integrate active models with passive volume conduction approaches to explore seizure induction and
propagation.
Source: Scopus
Authors: Fadi N. Karameh, Mohamad Awada, Firas Mourad, Karim Zahed, Ibrahim Abou‐Faycal, Ziad Nahas
Institution: American University of Beirut
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W2899385889