Scientific Reports · 2023 · 18 citations · 31 references
Life SciencesNeurologyNeuroscienceClinical NeuroscienceCognitive NeuroscienceNeurophysiologyDevelopmental NeurologyDevelopmental NeurophysiologyElectroencephalographyNeurodevelopmental DisordersNeurogenetic DisordersChannelsCortical Excitation-inhibition BalanceGamma OscillationsGamma RhythmResting-state Cortical NetworksResting-state EegTemporal CorrelationTheta Rhythm
Spontaneous EEG contains important information about neuronal network properties that is valuable for understanding different neurological and psychiatric conditions. Rett syndrome (RTT) is a rare neurodevelopmental disorder, caused by mutation in the MECP2 gene. RTT is characterized by severe motor impairments that prevent adequate assessment of cognitive functions. Here we probe EEG parameters obtained in no visual input condition from a 28-channels system in 23 patients with Rett Syndrome and 38 their typically developing peers aged 3-17 years old. Confirming previous results, RTT showed a fronto-central theta power (4-6.25 Hz) increase that correlates with a progression of the disease. Alpha power (6.75-11.75 Hz) across multiple regions was, on the contrary, decreased in RTT, also corresponding to general background slowing reported previously. Among novel results we found an increase in gamma power (31-39.5 Hz) across frontal, central and temporal electrodes, suggesting elevated excitation/inhibition ratio. Long-range temporal correlation measured by detrended fluctuation analysis within 6-13 Hz was also increased, pointing to a more predictable oscillation pattern in RTT. Overall measured EEG parameters allow to differentiate groups with high accuracy, ROC AUC value of 0.92 ± 0.08, indicating clinical relevance.
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Rett syndrome: Revised diagnostic criteria and nomenclature
Jeffrey L. Neul, Walter E. Kaufmann, Daniel G. Glaze et al. · Annals of Neurology · 2010 · 1.4K citations · Full text
Life Sciences, Genetics, Neurology +17
EEG and MEG: Relevance to Neuroscience
Fernando Lopes da Silva · Neuron · 2013 · 931 citations · Full text