The synchronized dynamics of time-varying networks
Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …
investigating the intimate relationships between the topological properties characterizing the …
[HTML][HTML] Surrogate data for hypothesis testing of physical systems
G Lancaster, D Iatsenko, A Pidde, V Ticcinelli… - Physics Reports, 2018 - Elsevier
The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …
increasing, stimulating the development of many novel methods for the extraction of …
Synchronization and desynchronization in epilepsy: controversies and hypotheses
P Jiruska, M De Curtis, JGR Jefferys… - The Journal of …, 2013 - Wiley Online Library
Epilepsy has been historically seen as a functional brain disorder associated with excessive
synchronization of large neuronal populations leading to a hypersynchronous state. Recent …
synchronization of large neuronal populations leading to a hypersynchronous state. Recent …
EMD-based temporal and spectral features for the classification of EEG signals using supervised learning
This paper presents a novel method for feature extraction from electroencephalogram (EEG)
signals using empirical mode decomposition (EMD). Its use is motivated by the fact that the …
signals using empirical mode decomposition (EMD). Its use is motivated by the fact that the …
Epilepsy as a disorder of cortical network organization
The brain is naturally considered as a network of interacting elements which, when
functioning properly, produces an enormous range of dynamic, adaptable behavior …
functioning properly, produces an enormous range of dynamic, adaptable behavior …
Neural synchrony in brain disorders: relevance for cognitive dysfunctions and pathophysiology
PJ Uhlhaas, W Singer - neuron, 2006 - cell.com
Following the discovery of context-dependent synchronization of oscillatory neuronal
responses in the visual system, novel methods of time series analysis have been developed …
responses in the visual system, novel methods of time series analysis have been developed …
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 …
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 …
Network dynamics of the brain and influence of the epileptic seizure onset zone
SP Burns, S Santaniello, RB Yaffe… - Proceedings of the …, 2014 - National Acad Sciences
The human brain is a dynamic networked system. Patients with partial epileptic seizures
have focal regions that periodically diverge from normal brain network dynamics during …
have focal regions that periodically diverge from normal brain network dynamics during …
Epileptic seizure prediction and control
LD Iasemidis - IEEE Transactions on Biomedical Engineering, 2003 - ieeexplore.ieee.org
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 …
only to strokes. Of the world's/spl sim/50 million people with epilepsy, fully 1/3 have seizures …