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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…
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Keywords:
brain age;
brain;
electroencephalography;
age index ... See more keywords
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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…
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Keywords:
brain;
brain age;
disability accumulation;
pathology ... See more keywords
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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…
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Keywords:
brain age;
matter;
previous childbirths;
white matter ... See more keywords
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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…
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Keywords:
free water;
brain;
brain age;
age ... See more keywords
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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…
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Keywords:
brainage;
sex;
sex differences;
brain age ... See more keywords
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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…
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Keywords:
age vector;
brain aging;
brain;
brain age ... See more keywords
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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…
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Keywords:
brain;
brain age;
age;
mri ... See more keywords
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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…
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Keywords:
calculate brain;
predictive power;
brain;
reliability ... See more keywords
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Published in 2024 at "Human Brain Mapping"
DOI: 10.1002/hbm.26625
Abstract: Estimated age from brain MRI data has emerged as a promising biomarker of neurological health. However, the absence of large, diverse, and clinically representative training datasets, along with the complexity of managing heterogeneous MRI data,…
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Keywords:
age;
transfer learning;
brain;
brain age ... See more keywords
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Published in 2025 at "Human Brain Mapping"
DOI: 10.1002/hbm.70331
Abstract: Neurodegeneration occurs when the body's central nervous system becomes impaired as a person ages, which can happen at an accelerated pace. Neurodegeneration impairs quality of life, affecting essential functions, including memory and the ability to…
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Keywords:
genetic information;
information;
brain age;
age gap ... See more keywords
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Published in 2024 at "GeroScience"
DOI: 10.1007/s11357-024-01112-4
Abstract: Machine learning models are increasingly being used to estimate “brain age” from neuroimaging data. The gap between chronological age and the estimated brain age gap (BAG) is potentially a measure of accelerated and resilient brain…
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Keywords:
age;
brain;
brain age;
mortality ... See more keywords