Articles with "brain age" as a keyword



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Association of Sleep Electroencephalography-Based Brain Age Index With Dementia

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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… read more here.

Keywords: brain age; brain; electroencephalography; age index ... See more keywords

"Brain age" predicts disability accumulation in multiple sclerosis.

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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… read more here.

Keywords: brain; brain age; disability accumulation; pathology ... See more keywords
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A history of previous childbirths is linked to women's white matter brain age in midlife and older age

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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… 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

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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… 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

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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… 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

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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… 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

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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… 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

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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… read more here.

Keywords: calculate brain; predictive power; brain; reliability ... See more keywords

Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting

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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,… read more here.

Keywords: age; transfer learning; brain; brain age ... See more keywords

Integration of Genetic Information to Improve Brain Age Gap Estimation Models in the UK Biobank

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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… read more here.

Keywords: genetic information; information; brain age; age gap ... See more keywords

Associations of plasma proteomics and age-related outcomes with brain age in a diverse cohort

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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… read more here.

Keywords: age; brain; brain age; mortality ... See more keywords