Dynamical resetting of the human brain at epileptic seizures: application of nonlinear dynamics and global optimization techniques.
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.
Iasemidis
Leon D
LD
Harrington Department of Bioengineering, the Arizona BioDesign Institute, Arizona State University, Tempe, AZ 85287-9709, USA. leon.iasemidis@asu.edu
Shiau
Deng-Shan
DS
Sackellares
J Chris
JC
Pardalos
Panos M
PM
Prasad
Awadhesh
A
D000222:Adaptation, Physiological; D000465:Algorithms; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping / Q000379:methods; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology*; D006801:Humans; D008959:Models, Neurological; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted; D013269:Stochastic Processes