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Related Experiment Videos

Double cortex syndrome: electroclinical study of three cases

T Granata1, G Battaglia, L D'Incerti

  • 1Istituto Neurologico C. Besta, Milano.

Italian Journal of Neurological Sciences
|February 1, 1994
PubMed
Summary

Double cortex syndrome, a neuronal migration disorder, presents with epilepsy and intellectual disability. Clinical presentation and severity vary significantly among patients, with no clear link to imaging findings.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Genetics

Background:

  • Band heterotopia, or double cortex syndrome, is a rare neuronal migration disorder.
  • It is characterized by the presence of an abnormal band of gray matter within the white matter of the cerebral hemispheres.
  • This condition is typically associated with epilepsy and intellectual disability.

Observation:

  • Three female patients (aged 10, 11, and 21 years) presented with clinical and Magnetic Resonance Imaging (MRI) findings consistent with double cortex syndrome.
  • All patients exhibited epilepsy and mental retardation, common features of this disorder.
  • Epileptic syndromes varied, including Lennox-Gastaut syndrome and symptomatic partial epilepsy.

Findings:

  • Despite shared MRI features of band heterotopia, clinical presentations, including seizure types, response to treatment, and intellectual disability severity, were markedly different.

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  • No direct correlation was identified between the severity of the neuronal migration disorder on MRI and the clinical phenotype.
  • Electroencephalogram (EEG) showed commonalities such as multifocal epileptic activity and anterior fast activity, but with inter-patient variations.

    • Implications:

    • The study highlights the phenotypic variability in double cortex syndrome, underscoring the complexity of genotype-phenotype correlations.
    • It suggests that MRI findings alone may not predict the clinical course or severity of neurological deficits.
    • Further research is needed to understand the underlying genetic and molecular mechanisms driving this variability and to guide personalized treatment strategies.