Relations (1)

related 3.00 — strongly supporting 7 facts

The relationship between sleep duration and brain structure and function is established through multiple scientific studies, such as those by Lo et al. [1] and Tai et al. [2], which investigate how sleep patterns correlate with cognitive performance and neuroanatomy. Large-scale analyses using the UK Biobank cohort {fact:3, fact:5} and discussions regarding the heterogeneity of research findings [3] further highlight the ongoing scientific effort to define the impact of sleep duration on brain structure {fact:4, fact:6}.

Facts (7)

Sources
Impact of sleep duration on executive function and brain structure nature.com Nature 7 facts
referenceThe scientific article titled 'Impact of sleep duration on executive function and brain structure' was authored by X.Y. Tai, C. Chen, S. Manohar, and others, and published in the journal Communications Biology in 2022.
claimOnly a limited number of studies have explored the relationship between sleep duration and brain structure in middle-to-late life.
claimA study of 613 participants did not find an association between sleep duration and overall grey and white matter volume, and a longitudinal assessment using latent class growth analysis suggested that the trajectory of sleep across 25 years did not impact brain structure.
measurementA sub-group of 37,553 individuals from the UK Biobank study was analyzed to determine the relationship between sleep duration and brain structure.
referenceLo, J. C., Loh, K. K., Zheng, H., Sim, S. K. Y., and Chee, M. W. L. found that sleep duration is associated with age-related changes in brain structure and cognitive performance in a 2014 study published in the journal Sleep.
claimThe heterogeneity of findings regarding sleep duration and brain structure may be explained by low sample sizes, which reduce statistical power, and the use of pre-specified region-of-interest approaches that may miss important brain areas related to sleep.
claimThe study of sleep duration and brain structure analyzed cross-sectional data from the UK Biobank cohort, which consists of individuals with a higher socioeconomic baseline and fewer comorbid diseases compared to the general population.