Epileptic seizures and electroencephalographic evolution in genetic leukodystrophies

Citation
Pj. Wang et al., Epileptic seizures and electroencephalographic evolution in genetic leukodystrophies, J CL NEURPH, 18(1), 2001, pp. 25-32
Citations number
22
Categorie Soggetti
Neurology
Journal title
JOURNAL OF CLINICAL NEUROPHYSIOLOGY
ISSN journal
07360258 → ACNP
Volume
18
Issue
1
Year of publication
2001
Pages
25 - 32
Database
ISI
SICI code
0736-0258(200101)18:1<25:ESAEEI>2.0.ZU;2-0
Abstract
The purpose of this study is to explore and compare epileptic seizures and EEG evolution in the various types of genetic leukodystrophy (GL). The auth ors reviewed the medical records and analyzed 69 serial EEGs in 27 patients with GLs: 13 with late infantile metachromatic leukodystrophy, one with ju venile metachromatic leukodystrophy, one with globoid cell leukodystrophy, six with X-linked childhood adrenoleukodystrophy, one with neonatal adrenol eukodystrophy, four with classic Pelizaeus-Merzbacher disease (PMD), and 1 with connatal Pelizaeus-Merzbacher disease. The diagnoses were made by bioc hemical and molecular studies. Two or more EEG studies with both awake and sleep traces were recorded during the varying clinical stages for each pati ent. At the beginning of the GLs, the EEGs were normal or showed mild slowi ng of background activity. Clinical seizures, mainly of focal origin, with progressive slowing and paroxysmal discharges on EEGs, usually appeared dur ing the later stages of metachromatic leukodystrophy, X-linked childhood ad renoleukodystrophy, and classic Pelizaeus-Merzbacher disease. However, intr actable seizures, mainly generalized in nature, and more severe slowing and abundant paroxysmal discharges on EEGs, with commensurate neurologic deter ioration, were observed during the earlier course of globoid cell leukodyst rophy, neonatal adrenoleukodystrophy, and connatal Pelizaeus-Merzbacher dis ease. These results indicate that GLs involve not only white matter, but gr ay matter as well. In all types of GL, there is good correlation between th e severity of EEG changes, the severity of the diseases, and the clinical s tate of the patient.