ArticleMolecular autism2018
Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study.
Article in Molecular autism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.
- Use of Wearable Sensors in Angelman Syndrome: A Systematic Review.Journal of intellectual disability research : JIDR · 2026Pooled it
- Functional connectivity in infants' visual cortex and its links to motion processing and autism.Scientific reports · 2026Article
- Neural circuit mechanisms of epilepsy: Maintenance of homeostasis at the cellular, synaptic, and neurotransmitter levels.Neural regeneration research · 2026Article
- Article
- Interictal network dysfunction and cognitive impairment in epilepsy.Nature reviews. Neuroscience · 2025Review
- Remote EEG acquisition in Angelman syndrome using PANDABox-EEG.Journal of neurodevelopmental disorders · 2025Article
- Use of Basket Trials to Solve Sleep Problems in Patients with Rare Diseases.Clocks & sleep · 2024Article
- A clinical-translational review of sleep problems in neurodevelopmental disabilities.Journal of neurodevelopmental disorders · 2024Review
- Sleep disturbance in Angelman syndrome patients.Orphanet journal of rare diseases · 2024Review
- Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis.Scientific reports · 2023Article
- Injury patterns associated with cognitive motor dissociation.Brain : a journal of neurology · 2023Article
- Electroencephalographic (EEG) Biomarkers in Genetic Neurodevelopmental Disorders.Journal of child neurology · 2023Review
- Systematic Review on EEG Analysis to Diagnose and Treat Autism by Evaluating Functional Connectivity and Spectral Power.Neuropsychiatric disease and treatment · 2023Review
- Questionnaires based on natural language processing elicit immersive ruminative thinking in ruminators: Evidence from behavioral responses and EEG data.Frontiers in neuroscience · 2023Article
- Evaluation of electroencephalography biomarkers for Angelman syndrome during overnight sleep.Autism research : official journal of the International Society for Autism Research · 2022Article
- Right Anterior Theta Hypersynchrony as a Quantitative Measure Associated with Autistic Traits and K-Cl Cotransporter KCC2 Polymorphism.Journal of autism and developmental disorders · 2022Article
- Circadian Rhythms and Sleep Are Dependent Upon Expression Levels of Key Ubiquitin LigaseFrontiers in behavioral neuroscience · 2022Article
- Abnormal brain state distribution and network connectivity in aBrain communications · 2022Article
- Insulin-like growth factor-2 does not improve behavioral deficits in mouse and rat models of Angelman Syndrome.Molecular autism · 2021Article
- Abnormal sleep physiology in children with 15q11.2-13.1 duplication (Dup15q) syndrome.Molecular autism · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Background: Angelman syndrome (AS) is a neurodevelopmental disorder characterized by intellectual disability, speech and motor impairments, epilepsy, abnormal sleep, and phenotypic overlap with autism. Individuals with AS display characteristic EEG patterns including high-amplitude rhythmic delta waves. Here, we sought to quantitatively explore EEG architecture in AS beyond known spectral power phenotypes. We were motivated by studies of functional connectivity and sleep spindles in autism to study these EEG readouts in children with AS. Methods: We analyzed retrospective wake and sleep EEGs from children with AS (age 4-11) and age-matched neurotypical controls. We assessed long-range and short-range functional connectivity by measuring coherence across multiple frequencies during wake and sleep. We quantified sleep spindles using automated and manual approaches. Results: During wakefulness, children with AS showed enhanced long-range EEG coherence across a wide range of frequencies. During sleep, children with AS showed increased long-range EEG coherence specifically in the gamma band. EEGs from children with AS contained fewer sleep spindles, and these spindles were shorter in duration than their neurotypical counterparts. Conclusions: We demonstrate two quantitative readouts of dysregulated sleep composition in children with AS-gamma coherence and spindles-and describe how functional connectivity patterns may be disrupted during wakefulness. Quantitative EEG phenotypes have potential as biomarkers and readouts of target engagement for future clinical trials and provide clues into how neural circuits are dysregulated in children with AS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.