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Imaging large scale neuronal networks in epilepsy
English title
Imaging large scale neuronal networks in epilepsy
Applicant
Seeck Margitta
Number
124089
Funding scheme
SPUM
Research institution
Clinique de Neurologie Hôpitaux Universitaires de Genève
Institution of higher education
University of Geneva - GE
Main discipline
Neurology, Psychiatry
Start/End
01.05.2009 - 30.04.2012
Approved amount
1'608'515.00
Show all
Keywords (10)
epilepsy; MRI; EEG; high resolution; DTI; fMRI; prognosis; idiopathic; focal; epilepsy surgery
Lay Summary (English)
Lead
Lay summary
Epilepsy is a frequent neurological disease which affects up to 1% of the population, in particular younger people including babies and children. With the current project, we like to study how different neuronal assemblies " talk " to each other, by analyzing the electrical activity of the human brain and by visualizing the pathways and regions, recruited by the fast neuronal activity. Three different techniques will be applied for this reason. Patients with epilepsy, who present aberrant electrical activity from time to time, and healthy subjects will be studied with multichannel electroencephalogram (EEG; up to 256 channels) and diffusion tensor imaging (DTI). EEG measures brain activity in the millisecond range, whereas DTI, a relatively new imaging technique, provides non-invasively data of nerve fiber bundles, i.e. their localization and thickness, in an individual human brain. Functional MRI, the third applied technique, shows local blood flow changes which reflect also neuronal activity non-invasively, albeit with less temporal precision but more spatial precision. In order to verify and improve our EEG techniques, we will also study epileptic mice, born with a brain malformation (similarly found in many human patients), during rest and epileptic seizures. All data will be carefully analyzed with modern mathematical algorithms to better understand which region is at which moment activated, through purely non-invasive tools. The overall goal of the project is the development and application of combined imaging techniques to human subjects and to improve our understanding of the brain "in action". While they are applied to patients with epilepsy, the results of our studies will be also of relevance for other chronic brain diseases, like autism or dementia, i.e. allowing the improvement of the diagnosis and/or monitoring of treatment effects.
Direct link to Lay Summary
Last update: 21.02.2013
Responsible applicant and co-applicants
Name
Institute
Seeck Margitta
Département de Neurosciences Cliniques Hôpitaux Universitaires de Genève Université de Genève
Schindler Kaspar
Universitätsklinik für Neurologie Inselspital Universität Bern
Welker Egbert
Département des neurosciences fondamentales Faculté de Biologie et de Médecine Université de Lausanne
Kiss Jozsef Zoltan
Dépt des Neurosciences Fondamentales Faculté de Médecine Université de Genève
Koenig Thomas
Universitätsklinik und Poliklinik für Psychiatrie
Wiest Roland
Universitätsinstitut für Diagnostische, Interventionelle & Pädiatrische Radiologie Inselspital
Meuli Reto Antoine
Département de radiologie médicale Centre Hospitalier Universitaire Vaudois University of Lausanne
Rossetti Andrea
Service de Neurologie Département des Neurosciences Cliniques CHUV
Thiran Jean-Philippe
Signal Processing Laboratory 5 EPFL
Michel Christoph
Département des neurosciences fondamentales Faculté de Médecine Université de Genève
Croquelois Alexandre
Service de Rhumatologie, Médecine Physique et Réhabilitation Hôpital Nestlé - CHUV
Employees
Name
Institute
Hauf Martinus
Universitätsinstitut für Diagnostische, Interventionelle & Pädiatrische Radiologie Inselspital
Lemkadden Alla
Clinique de Neurologie Hôpitaux Universitaires de Genève
Lascano Augustina
Clinique de Neurologie Hôpitaux Universitaires de Genève
Daducci Alessandro
Kleeberg Jörg
Division de Neuropsychologie CHUV
Vulliémoz Serge
Unité d'EEG et d'exploration de l'épilepsie Service de Neurologie Hôpitaux Universitaires de Genève
Ben Hamida Cammoun Leila Faiza
Centre de Psychologie Médicale CHUV
Scheidegger Olivier
Universitätsklinik für Neurologie Inselspital Universität Bern
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Number
Title
Start
Funding scheme
136249
Resting states of the brain and state dependent information processing in health and disease
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Imaging large scale neuronal networks in epilepsy
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Project funding (Div. I-III)
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