Characterising the dynamics of EEG waveforms as the path through parameter space of a neural mass model: Application to epilepsy seizure evolution-Reference-Cited by-同舟云学术

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Characterising the dynamics of EEG waveforms as the path through parameter space of a neural mass model: Application to epilepsy seizure evolution

Published:2012-02 Issue:3 Volume:59 Page:2374-2392
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Nevado-Holgado Alejo J.,Marten Frank,Richardson Mark P.,Terry John R.

Funder

EPSRC

MRC

Caja Madrid Foundation, Madrid, Spain

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference57 articles.

1. Reducing bias and inefficiency in the selection algorithm;Baker,1987

2. The descriptive epidemiology of epilepsy — a review;Banerjee;Epilepsy Res.,2009

3. EEG frequency during spike–wave discharges may predict treatment outcome in patients with idiopathic generalized epilepsies;Benjamin;Epilepsia,2011

4. Über das Elektrenkephalogramm des Menschen;Berger;Arch. Psychiatr. Nervenkr.,1929

5. Some peculiarities of time-frequency dynamics of spike–wave discharges in humans and rats;Bosnyakova;Clin. Neurophysiol.,2007

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