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Epitools, a software suite for presurgical brain mapping in epilepsy : Intracerebral EEG

Authors :
C. G. Bénar
R. Paz
S. Medina Villalon
Fabrice Bartolomei
Francesca Pizzo
Romain Carron
Nicolas Roehri
Bruno Colombet
Stanislas Lagarde
APHM, Neurophysiologie Clinique
Institut de Neurosciences des Systèmes (INS)
Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Instituto de Fisiología y Biofísica Bernardo Houssay [Buenos Aires] (IFIBIO)
Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Medicina [Buenos Aires]
Universidad de Buenos Aires [Buenos Aires] (UBA)-Universidad de Buenos Aires [Buenos Aires] (UBA)
APHM neurochirurgie fonctionnelle et stéreotaxique
APHM, Timone hospital, Epileptology and cerebral rythmology, Marseille, France
Facultad de Medicina [Buenos Aires]
Universidad de Buenos Aires [Buenos Aires] (UBA)-Universidad de Buenos Aires [Buenos Aires] (UBA)-Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)
ANR-13-PRTS-0011,VIBRATIONS,Interprétation des signaux électrophysiologiques en épilepsie basée sur un cerveau virtuel(2013)
ANR-13-TECS-0013,FORCE,Utilisation des oscillations neuronales à haute fréquence comme marqueurs fiables des processus cognitifs et de l'épilepsie(2013)
ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011)
Service d'Epileptologie et de Rythmologie Cérébrale [Hôpital de la Timone, AP-HM]
Aix Marseille Université (AMU)- Hôpital de la Timone [CHU - APHM] (TIMONE)
Medina Villalon, Samuel
Programme de Recherche Translationnelle en Santé - Interprétation des signaux électrophysiologiques en épilepsie basée sur un cerveau virtuel - - VIBRATIONS2013 - ANR-13-PRTS-0011 - PRTS - VALID
Technologies pour la santé et l'autonomie - Utilisation des oscillations neuronales à haute fréquence comme marqueurs fiables des processus cognitifs et de l'épilepsie - - FORCE2013 - ANR-13-TECS-0013 - TecSan - VALID
INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE - - Amidex2011 - ANR-11-IDEX-0001 - IDEX - VALID
Source :
Journal of Neuroscience Methods, Journal of Neuroscience Methods, Elsevier, 2018, Journal of Neuroscience Methods, Elsevier, 2018, ⟨10.1016/j.jneumeth.2018.03.018⟩, Journal of Neuroscience Methods, 2018, ⟨10.1016/j.jneumeth.2018.03.018⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

Background In pharmacoresistant epilepsy, exploration with depth electrodes can be needed to precisely define the epileptogenic zone. Accurate location of these electrodes is thus essential for the interpretation of Stereotaxic EEG (SEEG) signals. As SEEG analysis increasingly relies on signal processing, it is crucial to make a link between these results and patient’s anatomy. Our aims were thus to develop a suite of software tools, called “EpiTools”, able to i) precisely and automatically localize the position of each SEEG contact and ii) display the results of signal analysis in each patient’s anatomy. New method The first tool, GARDEL (GUI for Automatic Registration and Depth Electrode Localization), is able to automatically localize SEEG contacts and to label each contact according to a pre-specified nomenclature (for instance that of FreeSurfer or MarsAtlas). The second tool, 3Dviewer, enables to visualize in the 3D anatomy of the patient the origin of signal processing results such as rate of biomarkers, connectivity graphs or Epileptogenicity Index. Results GARDEL was validated in 30 patients by clinicians and proved to be highly reliable to determine within the patient’s individual anatomy the actual location of contacts. Comparison with existing methods GARDEL is a fully automatic electrode localization tool needing limited user interaction (only for electrode naming or contact correction). The 3Dviewer is able to read signal processing results and to display them in link with patient’s anatomy. Conclusion EpiTools can help speeding up the interpretation of SEEG data and improving its precision.

Details

Language :
English
ISSN :
01650270
Database :
OpenAIRE
Journal :
Journal of Neuroscience Methods, Journal of Neuroscience Methods, Elsevier, 2018, Journal of Neuroscience Methods, Elsevier, 2018, ⟨10.1016/j.jneumeth.2018.03.018⟩, Journal of Neuroscience Methods, 2018, ⟨10.1016/j.jneumeth.2018.03.018⟩
Accession number :
edsair.doi.dedup.....33e2bd29e87c3e5f64e0bb9b83746fbb