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Nonlinear dynamics of epileptic seizures on basis of intracranial EEG recordings

Jan Pieter M. Pijn, Demetrios N. Velis, Marcel J. van der Heyden, Jaap DeGoede, Cees W. M. van Veelen, Fernando H. Lopes da Silva
1997 Brain Topography  
Methods: We calculated the correlation dimension, tested for irreversibility, and made recurrence plots of EEG signals recorded intracranially both during interictal and ictal states in temporal lobe epilepsy  ...  Furthermore, the results obtained were in close agreement with visual inspection of the EEG records.  ...  Recently, Miiller-Gerking et al. (1996) and Pezard et al. (1996) reported weak evidence of nonlinear dynamics in data recorded from the visual system (of cats, pigeons and humans).  ... 
doi:10.1007/bf01464480 pmid:9217984 fatcat:6zwdxyn6lbcelbn7uiv7edg324

Stationary determinism in Observed Time Series: the earth's surface temperature [article]

Rafael M. Gutierrez
1999 arXiv   pre-print
In this work we address the feasibility of estimating and isolating the stationary and deterministic content of observational time series, Ots, which in general have very limited characteristics.  ...  In particular, we study the valuable earth's surface mean temperature time series, Tts, by applying several treatments intended to isolate the stationary and deterministic content.  ...  Acknowledgments I thank Colciencias (Colombia) and the Universidad Antonio Nariño of Santa Fe de Bogotá, Colombia for their collaboration.  ... 
arXiv:chao-dyn/9908012v1 fatcat:fwfvoxwfifatzaimkdlmdy7a7y

International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies

Claudio Babiloni, Robert J. Barry, Erol Başar, Katarzyna J. Blinowska, Andrzej Cichocki, Wilhelmus H.I.M. Drinkenburg, Wolfgang Klimesch, Robert T. Knight, Fernando Lopes da Silva, Paul Nunez, Robert Oostenveld, Jaeseung Jeong (+3 others)
2019 Clinical Neurophysiology  
In 1999, the International Federation of Clinical Neurophysiology (IFCN) published "IFCN Guidelines for topographic and frequency analysis of EEGs and EPs" (Nuwer et al., 1999).  ...  as neurophysiological experimental studies carried out in neurological and psychiatric patients: (1) recording of rsEEGs (environmental conditions and instructions to participants; montage of the EEG  ...  Until the end of their life, they had been working for the development of EEG science and its application in Clinical Neurophysiology.  ... 
doi:10.1016/j.clinph.2019.06.234 pmid:31501011 fatcat:psp6t4czorbsndn4gp5m4o3elu

Putting the "dynamic" back into dynamic functional connectivity

Stewart Heitmann, Michael Breakspear
2018 Network Neuroscience  
In turn, this temporal structure yields many of the phenomena proposed as important to large-scale communication and computation in the brain, such as phase-amplitude coupling, complexity, and flexibility  ...  The key issue is that time series generated by coupled nonlinear systems contain a richer temporal structure than matched multivariate (linear) stochastic processes.  ...  In comparison, EEG and MEG directly detect field fluctuations and do not suffer the same temporal filtering as fMRI. Analyses of resting-state EEG (Breakspear, 2002; Breakspear & Terry, 2002; C.  ... 
doi:10.1162/netn_a_00041 pmid:30215031 pmcid:PMC6130444 fatcat:uyitckwyubf73ocfeswa3r3bxa

Seizure prediction: Methods

Paul R. Carney, Stephen Myers, James D. Geyer
2011 Epilepsy & Behavior  
In the near future, seizures may be detected and aborted before physical manifestations begin.  ...  In this chapter we discuss the algorithms that make these devices possible and how they have been implemented to date.  ...  We offer special thanks to the B.J. and Eve Wilder Endowment Fund (P.R.C.). We also thank Ms. Edwyna Hill and Lucia Manubens-Carney for editing the manuscript.  ... 
doi:10.1016/j.yebeh.2011.09.001 pmid:22078526 pmcid:PMC3233702 fatcat:k7mypytb6bacjgdho5cshgthsy

Interdisciplinary application of nonlinear time series methods

T Schreiber
1999 Physics reports  
Recent progress in the detection and understanding of nonstationarity is reported.  ...  For signals with weakly nonlinear structure, the presence of nonlinearity in a general sense has to be inferred statistically.  ...  My work on nonlinear time series has again and again led to close and enjoyable collaboration with Holger Kantz.  ... 
doi:10.1016/s0370-1573(98)00035-0 fatcat:2gxiapllmrgsxpm5qgorrhytwm

Putting the "dynamic" back into dynamic functional connectivity [article]

Stewart Heitmann, Michael Breakspear
2017 bioRxiv   pre-print
In turn, this temporal structure yields many of the phenomena proposed as important to large-scale communication and computation in the brain, such as phase-amplitude coupling, complexity and flexibility  ...  The key issue is that time series generated by coupled nonlinear systems contain a richer temporal structure than matched multivariate (linear) stochastic processes.  ...  In comparison, EEG and MEG directly detect field fluctuations and do not suffer the same temporal filtering as fMRI.  ... 
doi:10.1101/181313 fatcat:2coxkoj5ozcvnjoxbjtxas5m4u

Heart rate variability: a review

U. Rajendra Acharya, K. Paul Joseph, N. Kannathal, Choo Min Lim, Jasjit S. Suri
2006 Medical and Biological Engineering and Computing  
It shows that the structure generating the signal is not only simply linear, but also involves nonlinear contributions.  ...  In this paper, we have discussed the various applications of HRV and different linear, frequency domain, wavelet domain, nonlinear techniques used for the analysis of the HRV.  ...  Short realizations cause large error bars in the estimation of the chaos parameters; (c) nonstationarity of the biological systems, i.e., ECG, EEG have different modulations influenced by a various external  ... 
doi:10.1007/s11517-006-0119-0 pmid:17111118 fatcat:merex33vlbhvxbnp5bl2pllwya

A review of symbolic analysis of experimental data

C. S. Daw, C. E. A. Finney, E. R. Tracy
2003 Review of Scientific Instruments  
Novel approaches for characterizing and recognizing temporal patterns can be important for many types of experimental systems, but this is especially true for processes that are nonlinear and possibly  ...  In many cases, the degree of discretization can be quite severe, even to the point of converting the original data to single-bit values.  ...  "Chaos".  ... 
doi:10.1063/1.1531823 fatcat:blodbrarirdhzfby3g2ihxve6a

Estimation and Validation of Individualized Dynamic Brain Models with Resting State fMRI

Matthew F. Singh, Todd S. Braver, Michael W. Cole, ShiNung Ching
2020 NeuroImage  
A key challenge for neuroscience is to develop generative, causal models of the human nervous system in an individualized, data-driven manner.  ...  that are not mechanistic.  ...  In this case, random perturbations were added to each parameter and were drawn from the normal distribution with mean zero and SD as indicated.  ... 
doi:10.1016/j.neuroimage.2020.117046 pmid:32603858 pmcid:PMC7875185 fatcat:c2sbnfd2jraexdrfazppk74faa

International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies

Claudio Babiloni, Robert J Barry, Erol Başar, Katarzyna J Blinowska, Andrzej Cichocki, Wilhelmus HIM Drinkenburg, Wolfgang Klimesch, Robert T Knight, Fernando Lopes Da Silva, Paul Nunez, Robert Oostenveld, Jaeseung Jeong (+3 others)
2020
In 1999, the International Federation of Clinical Neurophysiology (IFCN) published "IFCN Guidelines for topographic and frequency analysis of EEGs and EPs" (Nuwer et al., 1999) .  ...  as neurophysiological experimental studies carried out in neurological and psychiatric patients: (1) recording of rsEEGs (environmental conditions and instructions to participants; montage of the EEG  ...  Until the end of their life, they had been working for the development of EEG science and its application in Clinical Neurophysiology.  ... 
doi:10.5167/uzh-195693 fatcat:yqkzxpksfjgwhfo7mtjc56mwwa

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Leonid L. Rubchinsky, Sungwoo Ahn, Wouter Klijn, Ben Cumming, Stuart Yates, Vasileios Karakasis, Alexander Peyser, Marmaduke Woodman, Sandra Diaz-Pier, James Deraeve, Eliana Vassena, William Alexander (+473 others)
2017 BMC Neuroscience  
Sompolinsky H, Crisanti A, Sommers HJ: Chaos in Random Neural Net- 1. Sompolinsky H, Crisanti A, and Sommers HJ, Chaos in random neural works, Phys. Rev.  ...  In particular, the dynamics becomes arbitrary slow at the onset of chaos, similar to ‘critical slowing Connectivity in local cortical networks is far from random: Not only are down’.  ... 
doi:10.1186/s12868-017-0371-2 fatcat:jkqnv4rvfvaj5g44xm5snzdqzy

The synchronization of chaotic systems

S. Boccaletti, J. Kurths, G. Osipov, D.L. Valladares, C.S. Zhou
2002 Physics reports  
Finally, we point out the relevance of chaos synchronization, especially in physiology, nonlinear optics and uid dynamics, and give a review of relevant experimental applications of these ideas and techniques  ...  We review major ideas involved in the ÿeld of synchronization of chaotic systems, and present in detail several types of synchronization features: complete synchronization, lag synchronization, generalized  ...  It is seen that the chaotic trajectory does not cycle the unstable ÿxed point in all rotations.  ... 
doi:10.1016/s0370-1573(02)00137-0 fatcat:dlahheobcngbpad6zrm23kdffq

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3) and No. 785907 (Human Brain Project SGA2).  ...  This work is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

Jonathan F. Donges, Jobst Heitzig, Boyan Beronov, Marc Wiedermann, Jakob Runge, Qing Yi Feng, Liubov Tupikina, Veronika Stolbova, Reik V. Donner, Norbert Marwan, Henk A. Dijkstra, Jürgen Kurths
2015 Chaos  
network theory and nonlinear time series analysis. pyunicorn is a fully object-oriented and easily parallelizable package written in the language Python.  ...  Additionally, pyunicorn provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence quantification  ...  Research (BMBF) via the Potsdam Research Cluster for Georisk Analysis, Environmental Change and Sustainability  ... 
doi:10.1063/1.4934554 pmid:26627561 fatcat:qarrincgjnd4bfo2rurr4lj6ym
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