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Identification of epileptiform networks using functional MRI: model- vs data-driven approaches

Identification of epileptiform networks using functional MRI: model- vs data-driven approaches - Epileptiform Network Detection and Delineation (ENDD)

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON38349
Enrollment
20
Registered
2011-10-21
Start date
2011-12-07
Completion date
Unknown
Last updated
2024-04-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Epilepsy falling sickness

Interventions

None listed

Sponsors

Epilepsiecentrum Kempenhaeghe
Lead Sponsor

Eligibility

Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: The study will be divided into two phases related to two distinct patient groups, as described below. 1. proof-of-concept study for the methodological development (n

Exclusion criteria

Exclusion criteria: - suspicion of psychogenic non-epileptogenic seizures; - suspicion of other neurological disorders; - patients who cannot meet the mild physical or psychological criteria for prolonged MRI scanning; - patients with very severe tonic-clonic seizures. - patients who have a pacemaker or intracranial metals. These exclusion criteria will be based on available clinical information of the patient and will be discussed with the neurologist of the patient. If the neurologist thinks that a patient will not be capable to participate in the study, the patient will not be included.

Design outcomes

Primary

MeasureTime frame
The primary study parameter is the similarity of the epileptic network(s) obtained by the standard EEG-fMRI procedure and the data driven approach. The gold standard used for validation are the results of the electroclinical examination of the patient including the result of the EEG-Video examination.

Secondary

MeasureTime frame
A secondary study parameter is the confirmation or rejection of the null-hypothesis of this study that the epileptiform network is similar before and after medication withdrawal. In that case the data-driven approach might be a valuable additional tool in the pre-operative work-up of patients with localization related epilepsy, because it yields information that is not dependent on EEG and the possible changes in (the amount of) epileptic activity of the EEG.

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)