Epilepsy is a complex set of disorders that can involve many areas of the cortex, as well as
underlying deep-brain systems. The myriad manifestations of seizures, which can be as …

This article presents a new methodology for investigation of the organization of the overall
and hemispheric brain network of patients with attention-deficit hyperactivity disorder …

A probabilistic neural network (PNN) is presented for predicting the magnitude of the largest
earthquake in a pre-defined future time period in a seismic region using eight …

OBJECTIVES: This paper presents a comprehensive EEG study for interhemispheric,
intrahemispheric, and distal coherence in Alzheimer's disease (AD) patients. The objective …

Electroencephalogram (EEG) signals are widely used to study the activity of the brain, such
as to determine sleep stages. These EEG signals are nonlinear and non-stationary in …

Synchronization is defined as interdependencies among coupled dynamic systems. In most
coupled systems the intrinsic and internal variants, and the interdependencies among their …

We have designed and implemented an automated, just-in-time stimulation, seizure control
method using a seizure prediction method from nonlinear dynamics coupled with deep brain …

Methods, systems, and apparatus for assessing a state of a comorbidity associated with a
primary disease are provided. The methods comprise receiving at least one autonomic …

Synchronization as a measure of quantification of similarities in dynamic systems is an
important concept in many scientific fields such as nonlinear science, neuroscience …

Neural synchronization is considered as an important mechanism for information
processing. In addition, based on recent neurophysiologic findings, it is believed that …