RESting-state Functional MRI for Prediction of Post-surgical Prognosis In Pediatric Drug-Resistant Epilepsy
RESPIRE
1 other identifier
observational
200
1 country
1
Brief Summary
Resting-state functional MRI (r-fMRI) has emerged in recent years to analyze resting networks. It allows, without active participation of the patients, to identify and analyze the different functional brain networks. The analysis of r-fMRI can be done thanks to the graph theory, which is based on the based on the calculation of quantifiable parameters applied to the functional network studied, making it possible to assess its effectiveness. To the knowledge of the investigators, no study has used graph theory applied to r-fMRI data in order to obtain parameters useful for the useful parameters for the individual prognosis of children who have to be operation for drug-resistant lesional epilepsy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2020
Longer than P75 for all trials
1 active site
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
First Submitted
Initial submission to the registry
June 25, 2020
CompletedFirst Posted
Study publicly available on registry
June 30, 2020
CompletedStudy Start
First participant enrolled
October 30, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
April 1, 2028
January 5, 2026
December 1, 2025
6.9 years
June 25, 2020
December 30, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Determine the prognostic value of topological parameters measured on local r-fMRI on the surgical success at one year of patients operated for drug-resistant epilepsy.
The variables measured with functional MRI will correspond to topological parameters of functional connectivity measured locally at the level of the lesion: the degree, the clustering coefficient and path length. Surgical success will be evaluated by a score of 1 on the modified Engel classification at one year after surgery.
One year
Study Arms (1)
Resting-state functional MRI (r-fMRI)
The MRI examination will be performed on a 3T multi-parametric MRI. Compared to the standard protocol, patients will benefit from an additional fMRI-r sequence, called resting state, and performed before injection of gadoline contrast. A neuropsychological evaluation is performed as part of the 6 months prior to the procedure. These data will be used as a basis for the evaluation of language visual and language recovery.
Eligibility Criteria
Patients from 6 to 18 years old receiving an MRI as part of a preoperative assessment of lesion epilepsy
You may qualify if:
- Patient aged between 6 and 18 years
- Receiving an MRI for lesional drug-resistant epilepsy
- Affiliated or beneficiary of a social security plan
- Whose parents or guardians have received information about the study and have given their express consent to participate in the study
You may not qualify if:
- Contraindication to absolute or relative MRI (in particular, pregnant or breastfeeding women)
- History of intracranial surgery
- MRI performed under general anesthesia
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fondation A De Rothschild
Paris, PARIS, 75019, France
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Sidney KRYSTAL
Adolphe de Rothschild Fondation Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- NETWORK
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 25, 2020
First Posted
June 30, 2020
Study Start
October 30, 2020
Primary Completion (Estimated)
October 1, 2027
Study Completion (Estimated)
April 1, 2028
Last Updated
January 5, 2026
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will not share