51. A Quantitative Electrophysiological Biomarker of Duplication 15q11.2-q13.1 Syndrome
- Author
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Scott Huberty, Damla Şentürk, Shafali S. Jeste, Lawrence T. Reiter, Joel Frohlich, Edwin H. Cook, Charlotte DiStefano, Peyman Golshani, Raman Sankar, Vidya Saravanapandian, and Ronald L. Thibert
- Subjects
Male ,0301 basic medicine ,Pathology ,Neurology ,Autism Spectrum Disorder ,Physiology ,Social Sciences ,lcsh:Medicine ,Electroencephalography ,Audiology ,Biochemistry ,Epilepsy ,0302 clinical medicine ,Medicine and Health Sciences ,Psychology ,Child ,lcsh:Science ,Cerebral Cortex ,Clinical Neurophysiology ,Brain Mapping ,Multidisciplinary ,medicine.diagnostic_test ,Electrodiagnosis ,Drugs ,Electrophysiology ,Bioassays and Physiological Analysis ,Brain Electrophysiology ,Autism spectrum disorder ,Child, Preschool ,Medical genetics ,Female ,Genetic Oscillators ,Anticonvulsants ,Anatomy ,Research Article ,medicine.medical_specialty ,Adolescent ,Imaging Techniques ,Neurophysiology ,Neuroimaging ,Dup15q ,Research and Analysis Methods ,Clinical neurophysiology ,Young Adult ,03 medical and health sciences ,Diagnostic Medicine ,Intellectual Disability ,Genetics ,medicine ,Humans ,Chromosome Aberrations ,Pharmacology ,Clinical Genetics ,Chromosomes, Human, Pair 15 ,Scalp ,Electrophysiological Techniques ,lcsh:R ,Infant ,Biology and Life Sciences ,Repeated measures design ,medicine.disease ,030104 developmental biology ,Developmental Psychology ,lcsh:Q ,Head ,Biomarkers ,030217 neurology & neurosurgery ,Neuroscience - Abstract
Background Duplications of 15q11.2-q13.1 (Dup15q syndrome) are highly penetrant for autism spectrum disorder (ASD). A distinct electrophysiological (EEG) pattern characterized by excessive activity in the beta band has been noted in clinical reports. We asked whether EEG power in the beta band, as well as in other frequency bands, distinguished children with Dup15q syndrome from those with non-syndromic ASD and then examined the clinical correlates of this electrophysiological biomarker in Dup15q syndrome. Methods In the first study, we recorded spontaneous EEG from children with Dup15q syndrome (n = 11), age-and-IQ-matched children with ASD (n = 10) and age-matched typically developing (TD) children (n = 9) and computed relative power in 6 frequency bands for 9 regions of interest (ROIs). Group comparisons were made using a repeated measures analysis of variance. In the second study, we recorded spontaneous EEG from a larger cohort of individuals with Dup15q syndrome (n = 27) across two sites and examined age, epilepsy, and duplication type as predictors of beta power using simple linear regressions. Results In the first study, spontaneous beta1 (12–20 Hz) and beta2 (20–30 Hz) power were significantly higher in Dup15q syndrome compared with both comparison groups, while delta (1–4 Hz) was significantly lower than both comparison groups. Effect sizes in all three frequency bands were large (|d| > 1). In the second study, we found that beta2 power was significantly related to epilepsy diagnosis in Dup15q syndrome. Conclusions Here, we have identified an electrophysiological biomarker of Dup15q syndrome that may facilitate clinical stratification, treatment monitoring, and measurement of target engagement for future clinical trials. Future work will investigate the genetic and neural underpinnings of this electrophysiological signature as well as the functional consequences of excessive beta oscillations in Dup15q syndrome.
- Published
- 2016