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Epileptic Electroencephalography Profile Associates with Attention Problems in Children with Fragile X Syndrome:
Benjamin Cowley1, Svetlana Kirjanen2, Juhani Partanen3
1Brain Work Research Centre, Finnish Institute of Occupational HealthHelsinki, Finland; Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioral Sciences, University of HelsinkiHelsinki, Finland.
Insights
Personalized medicine using electroencephalography (EEG) endophenotypes can improve treatment for Fragile X syndrome (FXS). Identifying specific neurophysiological profiles, like diffuse slow oscillations and epileptiform EEG, aids in managing comorbid symptoms in children with FXS.
Area of Science:
- Neuroscience
- Genetics
- Developmental Pediatrics
Background:
- Fragile X syndrome (FXS) is a leading inherited cause of intellectual disability and a form of autism spectrum disorder (ASD).
- FXS presents significant heterogeneity in comorbidities, necessitating personalized treatment strategies.
- Quantitative electroencephalography (EEG) endophenotypes offer potential biomarkers for tailoring interventions in FXS.
Purpose of the Study:
- To explore the utility of EEG endophenotypes in a case series of children with FXS.
- To correlate observed EEG patterns with comorbid symptoms and relevant literature.
- To advocate for personalized, evidence-based treatment approaches for FXS.
Main Methods:
- Analysis of a case series of 11 children diagnosed with FXS (ages 1-14 years).
- Longitudinal clinical data collection focusing on comorbid symptoms and awake/asleep EEG profiles.
- Literature review on EEG endophenotypes and their association with FXS comorbidities and treatments.
Main Results:
- The most prevalent EEG endophenotypes identified were diffuse slow oscillations and epileptiform EEG.
- These endophenotypes correlated with attention problems (37% prevalence) and epileptic seizures (45% prevalence) respectively.
- Attention problems were observed to associate with the epilepsy endophenotype in this cohort.
Conclusions:
- EEG endophenotypes provide valuable insights into the neurophysiological profiles of children with FXS.
- Personalized treatment strategies, such as neurofeedback, guided by specific EEG characteristics can enhance clinical outcomes.
- This approach supports evidence-based management of complex comorbid symptoms in FXS.
Abstract:
Fragile X syndrome (FXS) is the most common cause of inherited intellectual disability and a variant of autism spectrum disorder (ASD). The FXS population is quite heterogeneous with respect to comorbidities, which implies the need for a personalized medicine approach, relying on biomarkers or endophenotypes to guide treatment. There is evidence that quantitative electroencephalography (EEG) endophenotype-guided treatments can support increased clinical benefit by considering the patient's neurophysiological profile. We describe a case series of 11 children diagnosed with FXS, aged one to 14 years, mean 4.6 years. Case data are based on longitudinal clinically-observed reports by attending physicians for comorbid symptoms including awake and asleep EEG profiles. We tabulate the comorbid EEG symptoms in this case series, and relate them to the literature on EEG endophenotypes and associated treatment options. The two most common endophenotypes in the data were diffuse slow oscillations and epileptiform EEG, which have been associated with attention and epilepsy respectively. This observation agrees with reported prevalence of comorbid behavioral symptoms for FXS. In this sample of FXS children, attention problems were found in 37% (4 of 11), and epileptic seizures in 45% (5 of 11). Attention problems were found to associate with the epilepsy endophenotype. From the synthesis of this case series and literature review, we argue that the evidence-based personalized treatment approach, exemplified by neurofeedback, could benefit FXS children by focusing on observable, specific characteristics of comorbid disease symptoms.
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