Literature DB >> 9874476

Perisylvian dysgenesis. Clinical, EEG, MRI and glucose metabolism features in 10 patients.

P Van Bogaert1, P David, C A Gillain, D Wikler, P Damhaut, E Scalais, C Nuttin, C Wetzburger, H B Szliwowski, T Metens, S Goldman.   

Abstract

We studied 10 patients who had neurological disorders with a MRI-based diagnosis of perisylvian dysgenesis based on the fact that the parasagittal and centrifugal extremity of the sylvian fissure was abnormally mesial. This abnormality was bilateral in seven cases; in the other three patients, the contralateral sylvian fissure appeared either normal (two cases) or enlarged (open operculum). The perisylvian cortex had a polymicrogyric appearance in most patients. Potential aetiopathogenic factors were determined in four patients. In two of them, ischaemia at mid-gestation was ascribed to death of a co-twin in a context of monozygotic twinning. In the other two patients, who were siblings, genetic factors were suspected. Pseudobulbar palsy was found in eight patients and epilepsy in five patients. We used PET with [18F]fluorodeoxyglucose to test the hypothesis that, despite this clinical and MRI heterogeneity, regional cerebral glucose distribution could have common features in these patients. The analysis of PET data was performed by visual inspection in two cases and by using statistical parametric mapping (SPM) in eight patients compared with a control group. Segmented grey matter MRIs of seven out these patients were also analysed using SPM. We found that the abnormal perisylvian cortex had normal grey matter activity in eight patients and in the other two there was a heterogeneous pattern with areas of preserved metabolism and of decreased metabolism. Metabolic changes were also detected outside the polymicrogyric-like cortex; three patients had hypometabolic areas in cortical regions where the MRI appeared normal and had a normal intensity. When polymicrogyria extended into the white matter, this ectopic dysgenetic cortex was associated with a grey matter pattern within the white matter territory, and was detected by SPM as areas of PET hypermetabolism and MRI hyperintensity. In order to detect possible metabolic changes undetected by the individual analyses, the group of patients was compared with the control group. This comparison revealed bilateral hypometabolism in the frontal opercular cortex. We propose that these PET data be considered in light of the presumed cyto-architectonic pattern of perisylvian dysgenesis, i.e. polymicrogyria. In this malformation, two dense cell layers are separated by a necrotic sparse cell layer. We speculate that the amount of synaptic activity preserved in these dense cell layers depends on the importance and timing of the necrotic process; this hypothesis accounts for the large range of metabolic patterns found, from profoundly decreased glucose metabolism to nearly normal activity.

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Year:  1998        PMID: 9874476     DOI: 10.1093/brain/121.12.2229

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  8 in total

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Review 2.  Genetics of the polymicrogyria syndromes.

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3.  Surgical treatment of polymicrogyria with advanced radiologic and neurophysiologic techniques.

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5.  Electromagnetic function of polymicrogyric cortex in congenital bilateral perisylvian syndrome.

Authors:  R Paetau; J Saraneva; O Salonen; L Valanne; J Ignatius; S Salenius
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6.  The Imaging of Localization Related Symptomatic Epilepsies: The Value of Arterial Spin Labelling Based Magnetic Resonance Perfusion.

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7.  Optimizing statistical parametric mapping analysis of 18F-FDG PET in children.

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8.  Developmental Dynamic Dysphasia: Are Bilateral Brain Abnormalities a Signature of Inefficient Neural Plasticity?

Authors:  Marcelo L Berthier; Guadalupe Dávila; María José Torres-Prioris; Ignacio Moreno-Torres; Jordi Clarimón; Oriol Dols-Icardo; María J Postigo; Victoria Fernández; Lisa Edelkraut; Lorena Moreno-Campos; Diana Molina-Sánchez; Paloma Solo de Zaldivar; Diana López-Barroso
Journal:  Front Hum Neurosci       Date:  2020-03-24       Impact factor: 3.169

  8 in total

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