Literature DB >> 33183916

EEG abnormalities in patients with chronic neuronopathic Gaucher disease: A retrospective review.

Chelsie N Poffenberger1, Sara Inati2, Nahid Tayebi1, Barbara K Stubblefield1, Emory Ryan1, Raphael Schiffmann3, Ellen Sidransky4, Grisel Lopez1.   

Abstract

The clinical phenotype of Gaucher disease type 3 (GD3), a neuronopathic lysosomal storage disorder, encompasses a wide array of neurological manifestations including neuro-ophthalmological findings, developmental delay, and seizures including progressive myoclonic epilepsy. Electroencephalography (EEG) is a widely available tool used to identify abnormalities in cerebral function, as well as epileptiform abnormalities indicating an increased risk of seizures. We characterized the EEG findings in GD3, reviewing 67 patients with 293 EEGs collected over nearly 50 years. Over 93% of patients had some form of EEG abnormality, most consisting of background slowing (90%), followed by interictal epileptiform discharges (IEDs) (54%), and photoparoxysmal responses (25%). The seven patients without background slowing were all under age 14 (mean 6.7 years). There was a history of seizures in 37% of this cohort; only 30% of these had IEDs on EEG. Conversely, only 56% of patients with IEDs had a history of seizures. These observed EEG abnormalities document an important aspect of the natural history of GD3 and could potentially assist in identifying neurological involvement in a patient with subtle clinical findings. Additionally, this comprehensive description of longitudinal EEG data provides essential baseline data for understanding central nervous system involvement in neuronopathic GD.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electroencephalography; Epileptiform activity; Glucocerebrosidase; Neuronopathic Gaucher disease; Progressive myoclonus epilepsy

Mesh:

Year:  2020        PMID: 33183916      PMCID: PMC7736529          DOI: 10.1016/j.ymgme.2020.10.010

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


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