ArticleJournal of personalized medicine2022
Clinical EEG of Rett Syndrome: Group Analysis Supplemented with Longitudinal Case Report.
Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Clinical differences in monozygotic twins with Rett syndrome: case report and systematic review.Orphanet journal of rare diseases · 2025Pooled it
- Early differential impact of MeCP2 mutations on functional networks in Rett syndrome patient-derived human cortical organoids.Nature communications · 2026Article
- Communication Abilities, Assessment Procedures, and Intervention Approaches in Rett Syndrome: A Narrative Review.Brain sciences · 2025Review
- Machine Learning Algorithms in EEG Analysis of Kleefstra Syndrome: Current Evidence and Future Directions.Sensors (Basel, Switzerland) · 2025Review
- Electroencephalographic Correlates of Clinical Severity in the Natural history study of RTT and Related Disorders.Annals of neurology · 2024Article
- Trofinetide receives FDA approval as first drug for Rett syndrome.Annals of medicine and surgery (2012) · 2024Article
- Does the Potocki-Lupski Syndrome Convey the Autism Spectrum Disorder Phenotype? Case Report and Scoping Review.Journal of personalized medicine · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Rett syndrome (RTT), a severe neurodevelopmental disorder caused by MECP2 gene abnormalities, is characterized by atypical EEG activity, and its detailed examination is lacking. We combined the comparison of one-time eyes open EEG resting state activity from 32 girls with RTT and their 41 typically developing peers (age 2-16 years old) with longitudinal following of one girl with RTT to reveal EEG parameters which correspond to the RTT progression. Traditional measures, such as epileptiform abnormalities, generalized background activity, beta activity and the sensorimotor rhythm, were supplemented by a new frequency rate index measured as the ratio between high- and low-frequency power of sensorimotor rhythm. Almost all studied EEG parameters differentiated the groups; however, only the elevated generalized background slowing and decrease in our newly introduced frequency rate index which reflects attenuation in the proportion of the upper band of sensorimotor rhythm in RTT showed significant relation with RTT progression both in longitudinal case and group analysis. Moreover, only this novel index was linked to the breathing irregularities RTT symptom. The percentage of epileptiform activity was unrelated to RTT severity, confirming previous studies. Thus, resting EEG can provide information about the pathophysiological changes caused by MECP2 abnormalities and disease progression.
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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.