Literature DB >> 10886352

Spatio-temporal characterizations of non-linear changes in intracranial activities prior to human temporal lobe seizures.

M Le Van Quyen1, C Adam, J Martinerie, M Baulac, S Clémenceau, F Varela.   

Abstract

Recent studies have shown that non-linear analysis of intracranial activities can detect a 'pre-ictal phase' preceding the epileptic seizure. Nevertheless, the dynamical nature of the underlying neuronal process and the spatial extension of this pre-ictal phase still remain unknown. In this paper, we address these aspects using a new non-linear measure of dynamic similarity between different parts of intracranial recordings of nine patients with medial temporal lobe epilepsy recorded during transitions to seizure. Our results confirm that non-linear changes in neuronal dynamics allow, in most cases (16 out of 17), a seizure anticipation several minutes in advance. Furthermore, we show that the spatial distribution of pre-ictal changes often involves an extended network projecting beyond the limits of the epileptogenic region. Finally, the pre-ictal phase could frequently (13 out of 17) be characterized with a marked shift toward slower frequencies in upper delta or theta frequency range.

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Year:  2000        PMID: 10886352     DOI: 10.1046/j.1460-9568.2000.00088.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  13 in total

1.  Synchrony in normal and focal epileptic brain: the seizure onset zone is functionally disconnected.

Authors:  Christopher P Warren; Sanqing Hu; Matt Stead; Benjamin H Brinkmann; Mark R Bower; Gregory A Worrell
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

Review 2.  Seizure prediction and its applications.

Authors:  Leon D Iasemidis
Journal:  Neurosurg Clin N Am       Date:  2011-10       Impact factor: 2.509

3.  Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.

Authors:  Kais Gadhoumi; Jean-Marc Lina; Jean Gotman
Journal:  Clin Neurophysiol       Date:  2012-04-03       Impact factor: 3.708

4.  Network dynamics of the epileptic brain at rest.

Authors:  Catherine Stamoulis; Lawrence J Gruber; Bernard S Chang
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

5.  A rule-based seizure prediction method for focal neocortical epilepsy.

Authors:  Ardalan Aarabi; Bin He
Journal:  Clin Neurophysiol       Date:  2012-02-22       Impact factor: 3.708

6.  Linear and non-linear methods for automatic seizure detection in scalp electro-encephalogram recordings.

Authors:  P E McSharry; T He; L A Smith; L Tarassenko
Journal:  Med Biol Eng Comput       Date:  2002-07       Impact factor: 2.602

Review 7.  Expanding therapeutic options: devices and the treatment of refractory epilepsy.

Authors:  Steven Karceski; Paul Mullin
Journal:  Curr Neurol Neurosci Rep       Date:  2004-07       Impact factor: 5.081

8.  Inhibiting cholesterol degradation induces neuronal sclerosis and epileptic activity in mouse hippocampus.

Authors:  Farah Chali; Fathia Djelti; Emmanuel Eugene; Mario Valderrama; Catherine Marquer; Patrick Aubourg; Charles Duykaerts; Richard Miles; Nathalie Cartier; Vincent Navarro
Journal:  Eur J Neurosci       Date:  2015-05-12       Impact factor: 3.386

9.  A Brief Survey of Computational Models of Normal and Epileptic EEG Signals: A Guideline to Model-based Seizure Prediction.

Authors:  Farzaneh Shayegh; Rasoul Amir Fattahi; Saeid Sadri; Karim Ansari-Asl
Journal:  J Med Signals Sens       Date:  2011-01

10.  Detecting epileptic seizure from scalp EEG using Lyapunov spectrum.

Authors:  Truong Quang Dang Khoa; Nguyen Thi Minh Huong; Vo Van Toi
Journal:  Comput Math Methods Med       Date:  2012-03-05       Impact factor: 2.238

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