NCT03893916

Brief Summary

Drug-resistant partial epilepsies are disabling diseases for which surgical treatment may be indicated. The determination of the area to be operated (or 'epileptogenic zone') is based on a bundle of clinical arguments and neuroimaging, having a direct impact on surgical success. Epileptic patients have electrical abnormalities that can be detected with surface electrophysiological examinations such as surface EEG or MagnetoEncephalography (MEG). The intracerebral source of these abnormalities can be localized in the brain using source modeling techniques from MEG signals or EEG signals if a sufficient number of electrodes is used (\> 100, so-called high EEG technique Resolution = EEG HR). EEG HR and MEG are two infrequent state-of-the-art techniques. The independent contribution of EEG HR and MEG for the localization of the epileptogenic zone has been shown in several studies. However, several modeling studies have shown that MEG and EEG HR have a different detection capacity and spatial resolution depending on the cortical generators studied. Modeling studies suggest that MEG has better localization accuracy than EEG for most cortical sources. No direct comparison of the locating value of MEG and EEG HR for the localization of the epileptogenic zone has been performed to date in a large-scale clinical study. In this prospective study, 100 patients with partial epilepsy who are candidates for epilepsy surgery, and for some of them with intracranial EEG recording, will benefit from two advanced electrophysiological examinations including magnetoencephalographic recording (MEG). ) interictal electrophysiological abnormalities and high-resolution EEG recording (128 electrodes) in addition to the usual examinations performed as part of the pre-surgical assessment, prior to cortectomy and / or intracranial EEG recording. Based on recent work conducted in humans, we postulate:

  • that the MEG and the EEG HR make it possible to precisely determine the epileptogenic zone, by using two approaches of definition of the epileptogenic zone (zone operated in the cured patients, zone at the origin of the crises during the intracranial recordings), but that the MEG is a little more precise than the EEG HR for the determination of the epileptogenic zone (we will try to highlight a difference of about 10%)
  • that the quantitative study of the complementarity between EEG HR and MEG for modeling sources of epileptic spikes will show an added value in the use of both methods compared to the use of only one of the two methods
  • that it is possible to determine the epileptogenic zone by determining the MEG model zone having the highest centrality value (hub) within the intercritical network by studying networks using graph theory.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
100

participants targeted

Target at P50-P75 for not_applicable

Timeline
36mo left

Started Oct 2019

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress69%
Oct 2019Apr 2029

First Submitted

Initial submission to the registry

March 21, 2019

Completed
7 days until next milestone

First Posted

Study publicly available on registry

March 28, 2019

Completed
7 months until next milestone

Study Start

First participant enrolled

October 25, 2019

Completed
9.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 25, 2029

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 25, 2029

Last Updated

January 15, 2026

Status Verified

January 1, 2026

Enrollment Period

9.5 years

First QC Date

March 21, 2019

Last Update Submit

January 13, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • Proportion of patients for whom there will be a spatial congruence between the operated area and the area modeled in EEG HR and MEG, among the population of patients operated and cured

    We will consider that it is congruent when the most likely source model will be located in the resected focus determined by the postoperative MRI. The clinical outcome of the patients will be assessed 1 year after the intervention according to the Engel classification. Patients with an Engel Grade 1 score will be considered cured.

    Month 12 after Surgery

Secondary Outcomes (4)

  • To compare the ability of EEG HR and MEG to localize the epileptogenic zone by considering the epileptogenic zone as the brain area involved in the beginning of the crisis in patients requiring intracranial EEG recording

    Month 12 after Surgery

  • To evaluate the spatial congruence between the zones modeled by the MEG and the EEG HR and the resected brain zone in the group of the patients not cured

    Month 12 after Surgery

  • Study the complementarity of EEG HR and MEG for the localization of the epileptogenic zone

    Month 12 after Surgery

  • To study the localization value of MEG intercritical network analysis for the detection of the epileptogenic zone via graph theory

    Month 12 after Surgery

Study Arms (1)

cohort

EXPERIMENTAL

MEG - EEG HR

Procedure: MEG - EEG HR

Interventions

MEG - EEG HRPROCEDURE

MEG : Magnetoencephalography is the study of the magnetic fields produced by the electrical activity of the brain. MEG signals are obtained while the patient is placed in a device specific to this technique. The latter comprises a recording chamber, recording sensors which are placed in a cryostat and an electronic measuring system. The magnetic fields are measured while the subject is placed in a shielded magnetic chamber protecting it from variations in the ambient magnetic field (displacement of metal masses, sector ...). EEG HR: High Resolution EEG is defined as the recording of cerebral electrical activity with 128 electroencephalographic electrodes and with high temporal resolution usually followed by the use of source localization tools. The HR EEG is therefore derived from standard EEG techniques, but requires a higher number of electrodes and the use of source localization tools.

cohort

Eligibility Criteria

Age18 Years - 60 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • patients with partial epilepsy for at least 2 years and for whom are decided and planned: either i) a surgical procedure to resect the epileptogenic zone without prior intracranial EEG recording either ii) an intracranial EEG record needed before a possible cortectomy procedure
  • Patient giving written consent

You may not qualify if:

  • patient aged over 60 or under 18
  • patients with contraindications to brain MRI and MEG
  • women of childbearing age for whom a urine pregnancy test performed during the first visit would detect a pregnancy

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Hospices Civils de Lyon

Bron, 69500, France

RECRUITING

MeSH Terms

Conditions

Drug Resistant EpilepsyEpilepsy

Condition Hierarchy (Ancestors)

Brain DiseasesCentral Nervous System DiseasesNervous System Diseases

Study Officials

  • Julien JUNG, Dr

    Hospices Civils de Lyon

    STUDY CHAIR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
OTHER
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 21, 2019

First Posted

March 28, 2019

Study Start

October 25, 2019

Primary Completion (Estimated)

April 25, 2029

Study Completion (Estimated)

April 25, 2029

Last Updated

January 15, 2026

Record last verified: 2026-01

Data Sharing

IPD Sharing
Will not share

Locations