Contribution of High Resolution EEG Functional Connectivity Measures to Presurgical Evaluation of Patients With Intractable Epilepsy

Not Applicable

Completed

• Conditions: Epilepsy

• Registration Number: NCT01738516
• Lead Sponsor: Rennes University Hospital

Brief Summary

Electroencephalography (EEG) with very high spatial resolution (HR-EEG, 256 electrodes) allow for better analysis of local and global activity of the cerebral cortex, as compared with conventional EEG. Since January 2012, the Neurology Department of CHU Rennes is the first clinical service in France equipped with such a system.

Applied to HR-EEG recordings, brain connectivity methods are likely to provide essential information (in the form of "connectivity graphs") on cortical networks, either dysfunctional or not, involved in the generation of interictal paroxysms (like spikes or spike-waves) and during seizures.

So far, many methods have been proposed (see for a review: Wendling et al., 2009; Wendling et al., 2010). However, since each method is highly sensitive to the type of model that is assumed for the underlying relationship between distinct brain regions (Ansari-Asl et al., 2006), none of them has yet demonstrated its effectiveness.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2012-11-28
• Study First Submitted QC: 2012-11-28
• Study First Posted: 2012-11-30
• Study Start: 2013-02
• Primary Completion: 2016-02
• Study Completion: 2016-08
• Status Verified: 2023-05
• Last Update Submitted: 2023-05-22
• Last Update Posted: 2023-05-24

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 44

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Primary Outcome Measures

Name	Time	Method
The quality of matching between i) the graphs produced by the evaluated connectivity method(s) applied to the HR-EEG and ii) the results of the visual analysis typically performed by an expert on the standard EEG recorded during intercritical phase.	2 years	Main objective :To determine which functional connectivity estimation method(s) show(s) best performance(s) for the identification of epileptogenic networks from the HR-EEG recording performed in epileptic patients.

Secondary Outcome Measures

Name	Time	Method
The quality of matching between i) the connectivity graphs obtained from control subjects performing a well defined cognitive task to ii) data from the literature on networks activated and sustaining these cognitive processes.	2 years	Our secondary objectives are: * The application of linear, non-linear and phase synchronization methods in digital signal processing on broadband band analysis or on band-filtered EEG signals acquired during HR-EEG explorations of patients with epilepsy,; * The evaluation of the performance of these methods by comparing the resulting connectivity graphs with those expected in healthy subjects (controls),; * The application of the methods offering the best performances to data acquired in patients.

Trial Locations

Locations (1)

Rennes University Hospital; 🇫🇷 Rennes, Brittany, France