ArticleFrontiers in aging neuroscience2022
Individual differences in slow wave sleep architecture relate to variation in white matter microstructure across adulthood.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Sleep disturbances and Alzheimer's disease: a multiscale approach from exposome to neurobiology and precision medicine.GeroScience · 2026Review
- Photosensitivity of an aging brain.bioRxiv : the preprint server for biology · 2025Article
- Monitoring Sleep Quality Through Low α-Band Activity in the Prefrontal Cortex Using a Portable Electroencephalogram Device: Longitudinal Study.Journal of medical Internet research · 2025Article
- Lateralized brunt of sleep deprivation on white matter injury in a rat model of Alzheimer's disease.GeroScience · 2024Article
- From macro to micro: slow-wave sleep and its pivotal health implications.Frontiers in sleep · 2024Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Sleep plays a key role in supporting brain function and resilience to brain decline. It is well known that sleep changes substantially with aging and that aging is associated with deterioration of brain structure. In this study, we sought to characterize the relationship between slow wave slope (SWslope)-a key marker of sleep architecture and an indirect proxy of sleep quality-and microstructure of white matter pathways in healthy adults with no sleep complaints. Participants were 12 young (24-27 years) and 12 older (50-79 years) adults. Sleep was assessed with nocturnal electroencephalography (EEG) and the Pittsburgh Sleep Quality Index (PSQI). White matter integrity was assessed using tract-based spatial statistics (TBSS) on tensor-based metrics such as Fractional Anisotropy (FA) and Mean Diffusivity (MD). Global PSQI score did not differ between younger (
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Registered trials
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