[PDF][PDF] A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
Brain aging is a complex, multifaceted process that can be challenging to model in ways that
are accurate and clinically useful. One of the most common approaches has been to apply …
are accurate and clinically useful. One of the most common approaches has been to apply …
[HTML][HTML] Explaining variation in individual aging, its sources, and consequences: A comprehensive conceptual model of human aging
K Rothermund, C Englert, D Gerstorf - Gerontology, 2023 - karger.com
We define aging as a characteristic deterioration in one (or more) observable attributes of an
organism that typically occurs during later life. With this narrow functional definition, we gain …
organism that typically occurs during later life. With this narrow functional definition, we gain …
[HTML][HTML] Quantifying Brain and Cognitive Maintenance as Key Indicators for Sustainable Cognitive Aging: Insights from the UK Biobank
Age-related cognitive decline is a global phenomenon that affects individuals worldwide.
The course and extent of this decline are influenced by numerous factors, such as genetics …
The course and extent of this decline are influenced by numerous factors, such as genetics …
[HTML][HTML] Brain health in diverse settings: How age, demographics and cognition shape brain function
Diversity in brain health is influenced by individual differences in demographics and
cognition. However, most studies on brain health and diseases have typically controlled for …
cognition. However, most studies on brain health and diseases have typically controlled for …
[HTML][HTML] Feasibility of brain age predictions from clinical T1-weighted MRIs
PA Valdes-Hernandez, CL Nodarse, JH Cole… - Brain Research …, 2023 - Elsevier
An individual's brain predicted age minus chronological age (brain-PAD) obtained from
MRIs could become a biomarker of disease in research studies. However, brain age reports …
MRIs could become a biomarker of disease in research studies. However, brain age reports …
[HTML][HTML] Toward MR protocol-agnostic, unbiased brain age predicted from clinical-grade MRIs
PA Valdes-Hernandez, C Laffitte Nodarse… - Scientific Reports, 2023 - nature.com
The difference between the estimated brain age and the chronological age ('brain-PAD')
could become a clinical biomarker. However, most brain age models were developed for …
could become a clinical biomarker. However, most brain age models were developed for …
Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets
Brain age estimation involves predicting an individual's biological age from their brain
images. This process offers valuable insights into the aging process and the progression of …
images. This process offers valuable insights into the aging process and the progression of …
Age Prediction Using Resting-State Functional MRI
The increasing lifespan and large individual differences in cognitive capability highlight the
importance of comprehending the aging process of the brain. Contrary to visible signs of …
importance of comprehending the aging process of the brain. Contrary to visible signs of …
Genome-wide analysis of brain age identifies 25 associated loci and unveils relationships with mental and physical health
Neuroimaging and machine learning are opening up new opportunities in studying
biological aging mechanisms. In this field,'brain age gap'has emerged as promising MRI …
biological aging mechanisms. In this field,'brain age gap'has emerged as promising MRI …
Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood
Deep learning (DL)-based prediction of biological age in the developing human from a brain
magnetic resonance imaging (MRI)(“brain age”) may have important diagnostic and …
magnetic resonance imaging (MRI)(“brain age”) may have important diagnostic and …