OBJECTIVE: Focal cortical dysplasias (FCDs) are highly epileptogenic lesions. Surgical removal is frequently the best treatment option for pharmacoresistant epilepsy. However, subtle FCDs may remain undetected even after high-resolution magnetic resonance imaging (MRI). Morphometric MRI analysis, which compares the individual brain with a normal database, can facilitate the detection of FCDs. We describe how the results of normal database-based MRI postprocessing can be used to guide stereotactic electrode implantation and subsequent resection of lesions that are suspected to be FCDs. METHODS: A presurgical evaluation was conducted on a 19-year-old woman with pharmacoresistant hypermotor seizures. Conventional high-resolution MRI was classified as negative for epileptogenic lesions. However, morphometric analysis of the spatially normalized MRI revealed abnormal gyration and blurring of the gray-white matter junction, which was suggestive of a small and deeply seated FCD in the left frontal lobe. RESULTS: The brain region highlighted by morphometric analysis was marked as a region of interest, transferred back to the original dimension of the individual MRI, and imported into a neuronavigation system. This allowed the region of interest-targeted stereotactic implantation of 2 depth electrodes, by which seizure onset was confirmed in the lesion. The electrodes also guided the final resection, which rendered the patient seizure-free. The lesion was histologically classified as FCD Palmini and Lüders IIB. CONCLUSION: Transferring normal database-based MRI postprocessing results into a neuronavigation system is a new and worthwhile extension of multimodal neuronavigation. The combination of resulting regions of interest with functional and anatomic data may facilitate planning of electrode implantation for invasive electroencephalographic recordings and the final resection of small or deeply seated FCDs.
OBJECTIVE: Focal cortical dysplasias (FCDs) are highly epileptogenic lesions. Surgical removal is frequently the best treatment option for pharmacoresistant epilepsy. However, subtle FCDs may remain undetected even after high-resolution magnetic resonance imaging (MRI). Morphometric MRI analysis, which compares the individual brain with a normal database, can facilitate the detection of FCDs. We describe how the results of normal database-based MRI postprocessing can be used to guide stereotactic electrode implantation and subsequent resection of lesions that are suspected to be FCDs. METHODS: A presurgical evaluation was conducted on a 19-year-old woman with pharmacoresistant hypermotor seizures. Conventional high-resolution MRI was classified as negative for epileptogenic lesions. However, morphometric analysis of the spatially normalized MRI revealed abnormal gyration and blurring of the gray-white matter junction, which was suggestive of a small and deeply seated FCD in the left frontal lobe. RESULTS: The brain region highlighted by morphometric analysis was marked as a region of interest, transferred back to the original dimension of the individual MRI, and imported into a neuronavigation system. This allowed the region of interest-targeted stereotactic implantation of 2 depth electrodes, by which seizure onset was confirmed in the lesion. The electrodes also guided the final resection, which rendered the patientseizure-free. The lesion was histologically classified as FCD Palmini and Lüders IIB. CONCLUSION: Transferring normal database-based MRI postprocessing results into a neuronavigation system is a new and worthwhile extension of multimodal neuronavigation. The combination of resulting regions of interest with functional and anatomic data may facilitate planning of electrode implantation for invasive electroencephalographic recordings and the final resection of small or deeply seated FCDs.
Authors: Z I Wang; S E Jones; A J Ristic; C Wong; Y Kakisaka; K Jin; F Schneider; J A Gonzalez-Martinez; J C Mosher; D Nair; R C Burgess; I M Najm; A V Alexopoulos Journal: Epilepsy Res Date: 2012-03-04 Impact factor: 3.045
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Authors: Zhong I Wang; Andreas V Alexopoulos; Stephen E Jones; Imad M Najm; Aleksandar Ristic; Chong Wong; Richard Prayson; Felix Schneider; Yosuke Kakisaka; Shuang Wang; William Bingaman; Jorge A Gonzalez-Martinez; Richard C Burgess Journal: Ann Neurol Date: 2014-05-16 Impact factor: 10.422
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Authors: Sergey Burnos; Peter Hilfiker; Oguzkan Sürücü; Felix Scholkmann; Niklaus Krayenbühl; Thomas Grunwald; Johannes Sarnthein Journal: PLoS One Date: 2014-04-10 Impact factor: 3.240
Authors: Ü Aydin; S Rampp; A Wollbrink; H Kugel; J -H Cho; T R Knösche; C Grova; J Wellmer; C H Wolters Journal: Brain Topogr Date: 2017-05-16 Impact factor: 3.020