Structural and Functional Connectivity in Partial Epilepsies Studied with MRI and MEG
NCT ID: NCT01313260
Last Updated: 2025-01-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
45 participants
OBSERVATIONAL
2011-04-05
2013-10-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Epilepsy patients
Epilepsy patients selected before undergoing intracranial EEG recordings
No interventions assigned to this group
control group
Healthy volunteers
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* no neurological or psychiatric disease for healthy volunteers
Exclusion Criteria
* pregnancy
18 Years
55 Years
ALL
Yes
Sponsors
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Institut National de la Santé Et de la Recherche Médicale, France
OTHER_GOV
Responsible Party
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Locations
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ICM (Brain and Spine Institute)
Paris, , France
Countries
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References
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Chavez M, Valencia M, Navarro V, Latora V, Martinerie J. Functional modularity of background activities in normal and epileptic brain networks. Phys Rev Lett. 2010 Mar 19;104(11):118701. doi: 10.1103/PhysRevLett.104.118701. Epub 2010 Mar 18.
Related Links
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Organization
Other Identifiers
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2010-A00399-30
Identifier Type: REGISTRY
Identifier Source: secondary_id
C09-21
Identifier Type: -
Identifier Source: org_study_id
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