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Dynamic Statistical Parametric Mapping for Analyzing the Magnetoencephalographic Epileptiform Activity in Patients With Epilepsy
- Source :
- Scopus-Elsevier
- Publication Year :
- 2004
- Publisher :
- SAGE Publications, 2004.
-
Abstract
- Our current purpose is to evaluate the applicability of dynamic statistical parametric mapping, a novel method for localizing epileptiform activity recorded with magnetoencephalography in patients with epilepsy. We report four pediatric patients with focal epilepsies. Magnetoencephalographic data were collected with a 306-channel whole-head helmet-shaped sensor array. We calculated equivalent current dipoles and dynamic statistical parametric mapping movies of the interictal epileptiform discharges that were based in the minimum-L2 norm estimate, minimizing the square sum of the dipole element amplitudes. The dynamic statistical parametric mapping analysis of interictal epileptiform discharges can demonstrate the rapid change and propagation of interical epileptiform discharges. According to these findings, specific epileptogenic lesion—focal cortical dysplasia could be found and patients could be operated on successfully. The presurgical analysis of interictal epileptiform discharges using dynamic statistical parametric mapping seems to be promising in patients with a possible underlying focal cortical dysplasia and might help to guide the placement of invasive electrodes. ( J Child Neurol 2005;20:363—369).
- Subjects :
- Adult
Male
Adolescent
Computer science
Electroencephalography
Statistical parametric mapping
03 medical and health sciences
Epilepsy
0302 clinical medicine
030225 pediatrics
medicine
Humans
Ictal
In patient
Focal Epilepsies
Child
Cerebral Cortex
Brain Mapping
medicine.diagnostic_test
Magnetoencephalography
Cortical dysplasia
medicine.disease
Child, Preschool
Pediatrics, Perinatology and Child Health
Female
Epilepsies, Partial
Neurology (clinical)
Neuroscience
030217 neurology & neurosurgery
Statistical Distributions
Subjects
Details
- ISSN :
- 17088283 and 08830738
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Journal of Child Neurology
- Accession number :
- edsair.doi.dedup.....d8723ad13097d9488efce592a1df9dad
- Full Text :
- https://doi.org/10.1177/08830738040190031601