Publications by authors named "R Horne"
Article Synopsis
- - EEG spectral analysis is a more sensitive method for assessing sleep disruption compared to traditional sleep architecture, helping to differentiate between children with narcolepsy, idiopathic hypersomnia (IH), and those with subjective sleepiness.
- - The study analyzed specific EEG frequency powers (delta, theta, alpha, sigma, and beta) during various sleep stages and found significant differences, particularly in beta and theta power levels among the groups of children tested.
- - Results showed that children with narcolepsy displayed higher theta power than those with subjective sleepiness, while delta power was lower in both narcolepsy and IH groups, suggesting unique patterns that could enhance understanding of these sleep disorders.
Objectives: COVID-19 disproportionately affected people of Black ethnicities whilst also negatively affecting the health, wellbeing and livelihoods of people living with HIV. This may have been amplified by pre-existing socioeconomic marginalisation, poorer health, and structural racism. Despite being disproportionately affected by the pandemic, little is known about lived experiences of the COVID-19 pandemic within these communities.
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- The study investigates differences in sleep architecture among children with narcolepsy, idiopathic hypersomnia (IH), and those who are subjectively sleepy, aiming to improve diagnostic methods.
- It involved 28 children with narcolepsy, 11 with IH, and 26 control subjects, analyzing sleep stability and disturbance through polysomnography and multiple sleep latency tests (MSLT).
- Results showed narcoleptic children had more frequent wake transitions and shorter REM episode durations compared to the other groups, suggesting that specific sleep patterns could help differentiate between these sleep disorders in children.