Literature DB >> 17355049

A physiologically plausible spatio-temporal model for EEG signals recorded with intracerebral electrodes in human partial epilepsy.

Delphine Cosandier-Rimélé1, Jean-Michel Badier, Patrick Chauvel, Fabrice Wendling.   

Abstract

Stereoelectroencephalography (depth-EEG signals) is a presurgical investigation technique of drug-resistant partial epilepsy, in which multiple sensor intracerebral electrodes are used to directly record brain electrical activity. In order to interpret depth-EEG signals, we developed an extended source model which connects two levels of representation: (1) a distributed current dipole model which describes the spatial distribution of neuronal sources; (2) a model of coupled neuronal populations which describes their temporal dynamics. From this extended source model, depth-EEG signals were simulated from the forward solution at each electrode sensor located inside the brain. Results showed that realistic transient epileptiform activities (spikes) are obtained under specific conditions in the model in terms of degree of coupling between neuronal populations and spatial extent of the source. In particular, the cortical area involved in the generation of epileptic spikes was estimated to vary from 18 to 25 cm2, for brain conductivity values ranging from 30 to 35 x 10(-5) S/mm, for high coupling degree between neuronal populations and for a volume conductor model that accounts for the three main tissues of the head (brain, skull, and scalp). This study provides insight into the relationship between spatio-temporal properties of cortical neuronal sources and depth-EEG signals.

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Year:  2007        PMID: 17355049      PMCID: PMC1978245          DOI: 10.1109/TBME.2006.890489

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  17 in total

1.  The contributions of intracerebral currents to the EEG and evoked potentials.

Authors:  R S Hosek; A Sances; R W Jodat; S J Larson
Journal:  IEEE Trans Biomed Eng       Date:  1978-09       Impact factor: 4.538

2.  In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head.

Authors:  Sónia I Gonçalves; Jan C de Munck; Jeroen P A Verbunt; Fetsje Bijma; Rob M Heethaar; Fernando Lopes da Silva
Journal:  IEEE Trans Biomed Eng       Date:  2003-06       Impact factor: 4.538

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Authors:  Lora A Neilson; Mikhail Kovalyov; Zoltan J Koles
Journal:  Clin Neurophysiol       Date:  2005-10       Impact factor: 3.708

4.  Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head.

Authors:  J Haueisen; C Ramon; M Eiselt; H Brauer; H Nowak
Journal:  IEEE Trans Biomed Eng       Date:  1997-08       Impact factor: 4.538

5.  Computational aspects of finite element modeling in EEG source localization.

Authors:  K A Awada; D R Jackson; J T Williams; D R Wilton; S B Baumann; A C Papanicolaou
Journal:  IEEE Trans Biomed Eng       Date:  1997-08       Impact factor: 4.538

6.  The EEG and MEG, using a model of eccentric spheres to describe the head.

Authors:  J W Meijs; M J Peters
Journal:  IEEE Trans Biomed Eng       Date:  1987-12       Impact factor: 4.538

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Authors:  S Rush; D A Driscoll
Journal:  Anesth Analg       Date:  1968 Nov-Dec       Impact factor: 5.108

8.  A neurophysiologically-based mathematical model of flash visual evoked potentials.

Authors:  B H Jansen; G Zouridakis; M E Brandt
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

9.  A method to identify reproducible subsets of co-activated structures during interictal spikes. Application to intracerebral EEG in temporal lobe epilepsy.

Authors:  J Bourien; F Bartolomei; J J Bellanger; M Gavaret; P Chauvel; F Wendling
Journal:  Clin Neurophysiol       Date:  2005-02       Impact factor: 3.708

10.  The specific resistance of biological material--a compendium of data for the biomedical engineer and physiologist.

Authors:  L A Geddes; L E Baker
Journal:  Med Biol Eng       Date:  1967-05
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  14 in total

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2.  Brain source localization using a fourth-order deflation scheme.

Authors:  Laurent Albera; Anne Ferréol; Delphine Cosandier-Rimélé; Isabelle Merlet; Fabrice Wendling
Journal:  IEEE Trans Biomed Eng       Date:  2008-02       Impact factor: 4.538

3.  Modeling and interpretation of scalp-EEG and depth-EEG signals during interictal activity.

Authors:  D Cosandier-Rimélé; J M Badier; P Chauvel; F Wendling
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

4.  A detailed anatomical and mathematical model of the hippocampal formation for the generation of sharp-wave ripples and theta-nested gamma oscillations.

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Journal:  J Comput Neurosci       Date:  2018-10-31       Impact factor: 1.621

5.  Reference-based source separation method for identification of brain regions involved in a reference state from intracerebral EEG.

Authors:  Samareh Samadi; Ladan Amini; Delphine Cosandier-Rimélé; Hamid Soltanian-Zadeh; Christian Jutten
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-14       Impact factor: 4.538

6.  Electrophysiological Brain Connectivity: Theory and Implementation.

Authors:  Bin He; Laura Astolfi; Pedro A Valdes-Sosa; Daniele Marinazzo; Satu Palva; Christian G Benar; Christoph M Michel; Thomas Koenig
Journal:  IEEE Trans Biomed Eng       Date:  2019-05-07       Impact factor: 4.538

7.  Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.

Authors:  Christophe Grova; Maria Aiguabella; Rina Zelmann; Jean-Marc Lina; Jeffery A Hall; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2016-03-02       Impact factor: 5.038

8.  MEG source localization of spatially extended generators of epileptic activity: comparing entropic and hierarchical bayesian approaches.

Authors:  Rasheda Arman Chowdhury; Jean Marc Lina; Eliane Kobayashi; Christophe Grova
Journal:  PLoS One       Date:  2013-02-13       Impact factor: 3.240

9.  From oscillatory transcranial current stimulation to scalp EEG changes: a biophysical and physiological modeling study.

Authors:  Isabelle Merlet; Gwénaël Birot; Ricardo Salvador; Behnam Molaee-Ardekani; Abeye Mekonnen; Aureli Soria-Frish; Giulio Ruffini; Pedro C Miranda; Fabrice Wendling
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

10.  Analysis of the behavior of a seizure neural mass model using describing functions.

Authors:  Farzaneh Shayegh; Jean-Jacques Bellanger; Saied Sadri; Rasoul Amirfattahi; Karim Ansari-Asl; Lotfi Senhadji
Journal:  J Med Signals Sens       Date:  2013-01
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