ArticleCommunications medicine2026
Periodic and aperiodic contributions to EEG delta power are translatable and complementary Angelman syndrome biomarkers.
Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Cortical Hyperexcitability Shapes Large-Scale Brain Dynamics and Behavioral Outcome in Angelman Syndrome.Biological psychiatry global open science · 2026Article
- Operant behavior is reliably impaired in a mouse model of Angelman syndrome.Research square · 2026Article
Corrections and comments
- Update of
Authors and funding
5 authors.
Funding
Abstract
backgroundAngelman syndrome is a neurodevelopmental disorder caused by loss of maternal UBE3A expression. With promising therapies now in clinical trials, there is a pressing need for reliable and translatable biomarkers. Elevated delta power in electroencephalography (EEG) recordings is a hallmark of Angelman syndrome and a promising biomarker, but traditional measures of delta power conflate true delta oscillations with broadband spectral shifts, limiting interpretability and utility. We sought to investigate whether separating out periodic and aperiodic contributions to delta power would yield more interpretable biomarkers.
methodsWe applied spectral parameterization to EEG recordings from children with Angelman syndrome (n = 95) and typically developing children (n = 185), and to cortical local field potential recordings from Ube3a mutant mice (n = 39) and littermate controls (n = 47) across postnatal development. We related periodic and aperiodic features to Bayley developmental scores in children, and to performance on a motor-based behavioral battery in mice.
resultsHere we show that elevated delta power reflects a combination of increased periodic delta oscillations as well as elevated aperiodic slope and offset in both humans and mice. Periodic delta power predicts cognitive ability in children, while aperiodic features predict motor deficits in mice. These features also follow divergent developmental trajectories in both species, suggesting distinct underlying mechanisms.
conclusionsAperiodic spectral features represent a translatable biomarker for Angelman syndrome. Periodic and aperiodic components of the delta phenotype show separable behavioral and developmental signatures, and their complementary use offers improved precision for biomarker-based evaluation in preclinical and clinical research.
Identifiers
What OpenQuestion holds
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.