AI Article Synopsis
- Age-related changes in the brain impact sleep quality, particularly through alterations in slow-wave sleep properties, though the exact reasons for these changes remain unclear.
- The study modifies an existing brain model to simulate slow-wave sleep, starting with a connectome representative of younger brains and progressively reducing inter-hemispheric connections.
- The model successfully replicates key observations, such as shorter and more variable slow waves, and suggests that reduced synchrony between brain regions contributes to the decrease in amplitude of these waves.
Article 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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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540593 | PMC |
| http://dx.doi.org/10.1523/ENEURO.0180-24.2024 | DOI Listing |
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