ArticleHuman brain mapping2020
Gray matter volume and estimated brain age gap are not linked with sleep-disordered breathing.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Assessment of Alzheimer's disease-related biomarkers in patients with obstructive sleep apnea: A systematic review and meta-analysis.Frontiers in aging neuroscience · 2022Pooled it
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Can we predict sleep health based on brain features? A large-scale machine learning study using the UK Biobank.Brain communications · 2026Article
- Poor sleep health is associated with older brain age: the role of systemic inflammation.EBioMedicine · 2025Article
- Network Occlusion Sensitivity Analysis Identifies Regional Contributions to Brain Age Prediction.Human brain mapping · 2025Article
- The Association of Upper Airway Anatomy with Brain Structure: The Multi-Ethnic Study of Atherosclerosis.Brain imaging and behavior · 2024Article
- Predicting Brain Age and Gender from Brain Volume Data Using Variational Quantum Circuits.Brain sciences · 2024Article
- Age Prediction Using Resting-State Functional MRI.Neuroinformatics · 2024Article
- MRI-informed machine learning-driven brain age models for classifying mild cognitive impairment converters.Journal of central nervous system disease · 2024Article
- Investigating the impact of motion in the scanner on brain age predictions.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Deep learning classification of reading disability with regional brain volume features.NeuroImage · 2023Article
- Interpretation for Individual Brain Age Prediction Based on Gray Matter Volume.Brain sciences · 2022Article
- Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry.Journal of personalized medicine · 2022Review
- How Machine Learning is Powering Neuroimaging to Improve Brain Health.Neuroinformatics · 2022Review
- Structural and Functional Trajectories of Middle Temporal Gyrus Sub-Regions During Life Span: A Potential Biomarker of Brain Development and Aging.Frontiers in aging neuroscience · 2022Article
- The effects of age on resting-state BOLD signal variability is explained by cardiovascular and cerebrovascular factors.Psychophysiology · 2021Article
- Daily Morning Blue Light Therapy for Post-mTBI Sleep Disruption: Effects on Brain Structure and Function.Frontiers in neurology · 2021Article
- Advanced brain ageing in Parkinson's disease is related to disease duration and individual impairment.Brain communications · 2021Article
- Gray matter volume and estimated brain age gap are not linked with sleep-disordered breathing.Human brain mapping · 2020Article
- NeuropsychBrainAge: A biomarker for conversion from mild cognitive impairment to Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 5 countries.
Funding
Abstract
Alzheimer's disease (AD) and sleep-disordered breathing (SDB) are prevalent conditions with a rising burden. It is suggested that SDB may contribute to cognitive decline and advanced aging. Here, we assessed the link between self-reported SDB and gray matter volume in patients with AD, mild cognitive impairment (MCI) and healthy controls (HCs). We further investigated whether SDB was associated with advanced brain aging. We included a total of 330 participants, divided based on self-reported history of SDB, and matched across diagnoses for age, sex and presence of the Apolipoprotein E4 allele, from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Gray-matter volume was measured using voxel-wise morphometry and group differences in terms of SDB, cognitive status, and their interaction were assessed. Further, using an age-prediction model fitted on gray-matter data of external datasets, we predicted study participants' age from their structural images. Cognitive decline and advanced age were associated with lower gray matter volume in various regions, particularly in the bilateral temporal lobes. Brains age was well predicted from the morphological data in HCs and, as expected, elevated in MCI and particularly in AD subjects. However, there was neither a significant difference between regional gray matter volume in any diagnostic group related to the SDB status, nor in SDB-by-cognitive status interaction. Moreover, we found no difference in estimated chronological age gap related to SDB, or by-cognitive status interaction. Contrary to our hypothesis, we were not able to find a general or a diagnostic-dependent association of SDB with either gray-matter volumetric or brain aging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.