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A Whole-Brain Model of the Aging Brain During Slow Wave Sleep

2024/10/15 by Eleonora Lupi, Gabriele Di Antonio, Marianna Angiolelli +7 · 1 voice · 3 citations
Medicine · Neuroscience · Psychology · #Audiology #Brain activity and meditation #Brain waves #Computer science #EEG and Brain-Computer Interfaces #Electroencephalography #Medicine #Neural dynamics and brain function #Neuroscience #Photoreceptor and optogenetics research #Physics #Psychology #Resting state fMRI #Sleep (system call) #Slow-wave sleep

paper · pdf · doi:10.1523/eneuro.0180-24.2024

published in eNeuro 11(11), ENEURO.0180-24.2024 (Society for Neuroscience)

openalex publication_date 2024/10/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

Age-related brain changes affect sleep and are reflected in properties of sleep slow-waves, however, the precise mechanisms behind these changes are still not completely understood. Here, we adapt a previously established whole-brain model relating structural connectivity changes to resting state dynamics, and extend it to a slow-wave sleep brain state. In particular, starting from a representative connectome at the beginning of the aging trajectory, we have gradually reduced the inter-hemispheric connections, and simulated sleep-like slow-wave activity. We show that the main empirically observed trends, namely a decrease in duration and increase in variability of the slow waves are captured by the model. Furthermore, comparing the simulated EEG activity to the source signals, we suggest that the empirically observed decrease in amplitude of the slow waves is caused by the decrease in synchrony between brain regions.

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