Electroencephalographic aspects and phenotypic characteristics in children with autism

Alexandru Capisizu1,2, Leon Zăgrean2, Adriana Sorina Capisizu3

  • 1Dr. Constantin Gorgos Psychiatry Hospital, Bucharest, Romania.

PubMed

Insights

Electroencephalography (EEG) abnormalities are present in over 10% of children with autism, often correlating with specific phenotypic traits and co-occurring conditions like epilepsy. These findings highlight EEG

Area of Science:

  • Neuroscience
  • Pediatrics
  • Clinical Neurology

Background:

  • Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with increasing global prevalence.
  • Electroencephalographic (EEG) abnormalities in children with ASD are linked to more severe clinical presentations.
  • Understanding these EEG patterns is crucial for improved diagnosis and management.

Purpose of the Study:

  • To investigate the prevalence of EEG abnormalities in children diagnosed with autism.
  • To identify specific phenotypic characteristics associated with EEG abnormalities in this population.
  • To assess the clinical relevance and correlations of these findings for patient management.

Main Methods:

  • Retrospective analysis of 101 children with autism.
  • Inclusion of clinical and neurological examinations.
  • Performance of wake electroencephalography (EEG) recordings.

Main Results:

  • 10.89% of children with autism exhibited EEG abnormalities.
  • Epileptic discharges (18.18%) and non-epileptic abnormalities (81.81%) were observed.
  • Associated phenotypic traits included positive family history (45.45%), dysmorphic features (63.63%), and gait disturbance (27.27%).

Conclusions:

  • A significant subset of children with autism presents with EEG abnormalities and diverse phenotypic traits.
  • Identifying EEG abnormalities aids in clinical decision-making for managing co-occurring conditions such as epilepsy.
  • Noninvasive tools like EEG and neurological exams are valuable for comprehensive autism case management.

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