Dynamical resetting of the human brain at epileptic seizures: application of nonlinear dynamics and global optimization techniques

Document Type

Article

Abstract

Epileptic seizures occur intermittently as a result of complex dynamical interactions among many regions of the brain. By applying signal processing techniques from the theory of nonlinear dynamics and global optimization to the analysis of long-term (3.6 to 12 days) continuous multichannel electroencephalographic recordings from four epileptic patients, we present evidence that epileptic seizures appear to serve as dynamical resetting mechanisms of the brain, that is the dynamically entrained brain areas before seizures disentrain faster and more frequently (p < 0.05) at epileptic seizures than any other periods. We expect these results to shed light into the mechanisms of epileptogenesis, seizure intervention and control, as well as into investigations of intermittent spatiotemporal state transitions in other complex biological and physical systems.

Medical Subject Headings

Adaptation, Physiological; Algorithms; Brain (physiopathology); Brain Mapping (methods); Computer Simulation; Diagnosis, Computer-Assisted (methods); Electroencephalography (methods); Epilepsy (diagnosis, physiopathology); Humans; Models, Neurological; Nonlinear Dynamics; Signal Processing, Computer-Assisted; Stochastic Processes

Publication Date

3-1-2004

Publication Title

IEEE transactions on bio-medical engineering

ISSN

0018-9294

Volume

51

Issue

3

First Page

493

Last Page

506

PubMed ID

15000380

Digital Object Identifier (DOI)

10.1109/TBME.2003.821013

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