Many complex and interesting phenomena in nature are due to nonlinear phenomena. The
theory of nonlinear dynamical systems, also called 'chaos theory', has now progressed to a …

Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

Since traditional electrical brain signal analysis is mostly qualitative, the development of new
quantitative methods is crucial for restricting the subjectivity in the study of brain signals …

The search for chaotic patterns has occupied numerous investigators in neuroscience, as in
many other fields of science. Their results and main conclusions are reviewed in the light of …

Highlights:► Twelve entropy indices were systematically compared in monitoring depth of
anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in …

Purpose: The occurrence of abnormal dynamics in a physiological system can become
manifest as a sudden qualitative change in the behavior of characteristic physiologic …

A theoretical framework based on the concepts and tools of nonlinear dynamical systems is
advanced to account for both the persistent and transitory changes traditionally shown for …

Epileptic seizures are manifestations of epilepsy, a serious brain dynamical disorder second
only to strokes. Of the world's/spl sim/50 million people with epilepsy, fully 1/3 have seizures …

Here we critically review studies that used electroencephalography (EEG) or event-related
potential (ERP) indices as a biomarker of Alzheimer's disease. In the first part we overview …

This study examined chronic and short-term stress effects on heart rate variability (HRV),
comparing time, frequency and phase domain (complexity) measures in 50 healthy adults …