Nonlinear dynamical analysis of EEG and MEG: review of an emerging field

CJ Stam - Clinical neurophysiology, 2005 - Elsevier
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 …

EEG and ERP biomarkers of Alzheimer's disease: a critical review.

A Horvath, A Szucs, G Csukly, A Sakovics… - Frontiers in bioscience …, 2018 - real.mtak.hu
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 …

EEG entropy measures in anesthesia

Z Liang, Y Wang, X Sun, D Li, LJ Voss… - Frontiers in …, 2015 - frontiersin.org
Highlights:► Twelve entropy indices were systematically compared in monitoring depth of
anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in …

Nonlinear multivariate analysis of neurophysiological signals

E Pereda, RQ Quiroga, J Bhattacharya - Progress in neurobiology, 2005 - Elsevier
Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

Wavelet entropy: a new tool for analysis of short duration brain electrical signals

OA Rosso, S Blanco, J Yordanova, V Kolev… - Journal of neuroscience …, 2001 - Elsevier
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 …

[HTML][HTML] Is there chaos in the brain? II. Experimental evidence and related models

H Korn, P Faure - Comptes rendus biologies, 2003 - Elsevier
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 …

Approaching complexity by stochastic methods: From biological systems to turbulence

R Friedrich, J Peinke, M Sahimi, MRR Tabar - Physics Reports, 2011 - Elsevier
This review addresses a central question in the field of complex systems: given a fluctuating
(in time or space), sequentially measured set of experimental data, how should one analyze …

Effects of stress on heart rate complexity—a comparison between short-term and chronic stress

C Schubert, M Lambertz, RA Nelesen, W Bardwell… - Biological …, 2009 - Elsevier
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 …

Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity

FL Da Silva, W Blanes, SN Kalitzin, J Parra… - …, 2003 - Wiley Online Library
Purpose: The occurrence of abnormal dynamics in a physiological system can become
manifest as a sudden qualitative change in the behavior of characteristic physiologic …

Time scales in motor learning and development.

KM Newell, YT Liu, G Mayer-Kress - Psychological review, 2001 - psycnet.apa.org
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 …