Structural and Functional Connectivity in Partial Epilepsies Studied With MRI and MEG
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|ClinicalTrials.gov Identifier: NCT01313260|
Recruitment Status : Unknown
Verified January 2012 by Institut National de la Santé Et de la Recherche Médicale, France.
Recruitment status was: Recruiting
First Posted : March 11, 2011
Last Update Posted : September 28, 2012
Surgery may be an effective therapy for refractory focal epilepsies with a clear delineated focus but surgical benefits are less clear for patients with a poorly defined focus such as non lesional refractory partial epilepsies.
SEEG is considered the criterion standard to localize the epileptogenic zone (EZ) but the procedure is risky with a limited spatial sampling. The development of non-invasive neuroimaging alternatives is thus an important goal to improve EZ delineation and optimize SEEG procedures.
The main hypothesis of this research project is the existence of a network organization specific for each patient which allows the generation and propagation of epileptic activities. The investigators wish to explore this network using diffusion tensor MRI to study structural connectivity and MEG/FMRI to study functional connectivity. The investigators will apply tools from the theories of complex networks and dynamical systems to characterize the network organization of epileptic process.
The investigators aimed to identify and localize differences in connectivity parameters between individual patients and a control group of healthy volunteers.
|Condition or disease|
|Study Type :||Observational|
|Estimated Enrollment :||45 participants|
|Observational Model:||Case Control|
|Official Title:||Structural and Functional Connectivity in Partial Epilepsies Studied With MRI and MEG|
|Study Start Date :||February 2011|
Epilepsy patients selected before undergoing intracranial EEG recordings
- Epileptic network assessed using structural and functional connectivity measures obtained with MRI and MEG [ Time Frame: one year ]
Structural connectivity will be assessed using diffusion tensor MRI including the following parameters: mean diffusivity and anisotropy at voxel level, fiber tractography.
Functional connectivity will be assessed using Rs-FMRI or MEG signal correlation measures. Cortical parcellation will allow the location of connectivity parameters calculated using the graph theory.
Structural and functional data from one given patient will be statistically compared those of the control group.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01313260
|Contact: Lionel Thivard, MD, PhD||33 1 57 27 43 firstname.lastname@example.org|
|ICM (Brain and Spine Institute)||Recruiting|
|Paris, France, 75013|
|Contact: Lionel Thivard, MD, PhD 33 1 57 27 43 64 email@example.com|