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Prediction of Neurodevelopment in Infants With Tuberous Sclerosis Complex Using Early EEG Characteristics
J. De Ridder, M. Lavanga, B. Verhelle, J. Vervisch, K. Lemmens, K. Kotulska, R. Moavero, P. Curatolo, B. Weschke, K. Riney, M. Feucht, P. Krsek, R. Nabbout, AC. Jansen, K. Wojdan, D. Domanska-Pakieła, M. Kaczorowska-Frontczak, C. Hertzberg, CH....
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2010
Free Medical Journals
od 2010
PubMed Central
od 2010
Europe PubMed Central
od 2010
Open Access Digital Library
od 2010-01-01
Open Access Digital Library
od 2010-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2010
- Publikační typ
- časopisecké články MeSH
Tuberous Sclerosis Complex (TSC) is a multisystem genetic disorder with a high risk of early-onset epilepsy and a high prevalence of neurodevelopmental comorbidities, including intellectual disability and autism spectrum disorder (ASD). Therefore, TSC is an interesting disease model to investigate early biomarkers of neurodevelopmental comorbidities when interventions are favourable. We investigated whether early EEG characteristics can be used to predict neurodevelopment in infants with TSC. The first recorded EEG of 64 infants with TSC, enrolled in the international prospective EPISTOP trial (recorded at a median gestational age 42 4/7 weeks) was first visually assessed. EEG characteristics were correlated with ASD risk based on the ADOS-2 score, and cognitive, language, and motor developmental quotients (Bayley Scales of Infant and Toddler Development III) at the age of 24 months. Quantitative EEG analysis was used to validate the relationship between EEG background abnormalities and ASD risk. An abnormal first EEG (OR = 4.1, p-value = 0.027) and more specifically a dysmature EEG background (OR = 4.6, p-value = 0.017) was associated with a higher probability of ASD traits at the age of 24 months. This association between an early abnormal EEG and ASD risk remained significant in a multivariable model, adjusting for mutation and treatment (adjusted OR = 4.2, p-value = 0.029). A dysmature EEG background was also associated with lower cognitive (p-value = 0.029), language (p-value = 0.001), and motor (p-value = 0.017) developmental quotients at the age of 24 months. Our findings suggest that early EEG characteristics in newborns and infants with TSC can be used to predict neurodevelopmental comorbidities.
Child Neurology and Psychiatry Unit Systems Medicine Department Tor Vergata University Rome Italy
Department of Child Neurology Brain Centre University Medical Centre Utrecht Utrecht Netherlands
Department of Child Neurology Charité University Medicine Berlin Berlin Germany
Department of Heemstede Netherlands
Department of Neurology and Epileptology The Children's Memorial Health Institute Warsaw Poland
Department of Pediatrics Medical University Vienna Vienna Austria
Diagnose und Behandlungszentrum für Kinder und Jugendliche Vivantes Klinikum Neuköln Berlin Germany
Harvard Medical School Brigham and Women's Hospital Boston MA United States
Pediatric Neurology Unit Universitair Ziekenhuis Brussel Brussels Belgium
Citace poskytuje Crossref.org
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