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 …
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 …
potential (ERP) indices as a biomarker of Alzheimer's disease. In the first part we overview …
EEG entropy measures in anesthesia
Highlights:► Twelve entropy indices were systematically compared in monitoring depth of
anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in …
anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in …
Nonlinear multivariate analysis of neurophysiological signals
Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …
studying the relationship between simultaneously recorded signals. Recently, advances on …
Wavelet entropy: a new tool for analysis of short duration brain electrical signals
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 …
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 …
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
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 …
(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 …
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 …
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 …
advanced to account for both the persistent and transitory changes traditionally shown for …