Association of Sleep Electroencephalography-Based Brain Age Index With Dementia
Sign Up to like & getrecommendations! Published in 2020 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2020.17357
Abstract: Key Points Question Can an electroencephalography-based brain age index, calculated as the difference between chronological and estimated brain age through sleep electroencephalography, serve as a potential biomarker associated with dementia? Findings This cross-sectional study of… read more here.
Keywords: brain age; brain; electroencephalography; age index ... See more keywords
"Brain age" predicts disability accumulation in multiple sclerosis.
Sign Up to like & getrecommendations! Published in 2023 at "Annals of clinical and translational neurology"
DOI: 10.1002/acn3.51782
Abstract: OBJECTIVE Neurodegenerative conditions often manifest radiologically with the appearance of premature aging. Multiple sclerosis (MS) biomarkers related to lesion burden are well developed, but measures of neurodegeneration are less well-developed. The appearance of premature aging… read more here.
Keywords: brain; brain age; disability accumulation; pathology ... See more keywords
A history of previous childbirths is linked to women's white matter brain age in midlife and older age
Sign Up to like & getrecommendations! Published in 2021 at "Human Brain Mapping"
DOI: 10.1002/hbm.25553
Abstract: Maternal brain adaptations occur in response to pregnancy, but little is known about how parity impacts white matter and white matter ageing trajectories later in life. Utilising global and regional brain age prediction based on… read more here.
Keywords: brain age; matter; previous childbirths; white matter ... See more keywords
Brain‐age estimation accuracy is significantly increased using multishell free‐water reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.25792
Abstract: Although free‐water diffusion reconstruction for diffusion‐weighted imaging (DWI) data can be applied to both single‐shell and multishell data, recent finding in synthetic data suggests that the free‐water indices from single‐shell acquisition should be interpreted with… read more here.
Keywords: free water; brain; brain age; age ... See more keywords
Sex differences in predictors and regional patterns of brain age gap estimates
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.25983
Abstract: Background The brain-age-gap estimate (brainAGE) quantifies the difference between chronological age and age predicted by applying machine-learning models to neuroimaging data, and is considered a biomarker of brain health. Understanding sex-differences in brainAGE is a… read more here.
Keywords: brainage; sex; sex differences; brain age ... See more keywords
Brain age vector: A measure of brain aging with enhanced neurodegenerative disorder specificity
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26066
Abstract: Neuroimaging‐driven brain age estimation has become popular in measuring brain aging and identifying neurodegenerations. However, the single estimated brain age (gap) compromises regional variations of brain aging, losing spatial specificity across diseases which is valuable… read more here.
Keywords: age vector; brain aging; brain; brain age ... See more keywords
The value of arterial spin labelling perfusion MRI in brain age prediction
Sign Up to like & getrecommendations! Published in 2023 at "Human Brain Mapping"
DOI: 10.1002/hbm.26242
Abstract: Current structural MRI‐based brain age estimates and their difference from chronological age—the brain age gap (BAG)—are limited to late‐stage pathological brain‐tissue changes. The addition of physiological MRI features may detect early‐stage pathological brain alterations and… read more here.
Keywords: brain; brain age; age; mri ... See more keywords
Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26292
Abstract: The calculation of so-called “brain age” has been an emerging biomarker in aging research. Data suggests that discrepancies between chronological age and the predicted age of the brain may be predictive of mortality and morbidity… read more here.
Keywords: calculate brain; predictive power; brain; reliability ... See more keywords
Improving brain age prediction models: incorporation of amyloid status in Alzheimer's disease
Sign Up to like & getrecommendations! Published in 2020 at "Neurobiology of Aging"
DOI: 10.1016/j.neurobiolaging.2019.11.005
Abstract: Brain age prediction is a machine learning method that estimates an individual's chronological age from their neuroimaging scans. Brain age indicates whether an individual's brain appears "older" than age-matched healthy peers, suggesting that they may… read more here.
Keywords: age; pathology; brain age; age prediction ... See more keywords
Estimation of brain age delta from brain imaging
Sign Up to like & getrecommendations! Published in 2019 at "Neuroimage"
DOI: 10.1016/j.neuroimage.2019.06.017
Abstract: It is of increasing interest to study “brain age” - the apparent age of a subject, as inferred from brain imaging data. The difference between brain age and actual age (the “delta”) is typically computed,… read more here.
Keywords: age delta; age; brain age; brain imaging ... See more keywords
Individual variation underlying brain age estimates in typical development
Sign Up to like & getrecommendations! Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2021.118036
Abstract: Typical brain development follows a protracted trajectory throughout childhood and adolescence. Deviations from typical growth trajectories have been implicated in neurodevelopmental and psychiatric disorders. Recently, the use of machine learning algorithms to model age as… read more here.
Keywords: age; brain age; model; age prediction ... See more keywords