Exercise mitigates age-related metabolic diseases by improving mitochondrial dysfunction

D Jia, Z Tian, R Wang - Ageing Research Reviews, 2023 - Elsevier
The benefits of regular physical activity are related to delaying and reversing the onset of
ageing and age-related disorders, including cardiomyopathy, neurodegenerative diseases …

BrainAGE, brain health, and mental disorders: A systematic review

J Seitz-Holland, SS Haas, N Penzel… - Neuroscience & …, 2024 - Elsevier
The imaging-based method of brainAGE aims to characterize an individual's vulnerability to
age-related brain changes. The present study systematically reviewed brainAGE findings in …

Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN)

NS McKay, BA Gordon, RC Hornbeck, A Dincer… - Nature …, 2023 - nature.com
Abstract The Dominantly Inherited Alzheimer Network (DIAN) is an international
collaboration studying autosomal dominant Alzheimer disease (ADAD). ADAD arises from …

Swift: Swin 4d fmri transformer

P Kim, J Kwon, S Joo, S Bae, D Lee… - Advances in …, 2023 - proceedings.neurips.cc
Modeling spatiotemporal brain dynamics from high-dimensional data, such as functional
Magnetic Resonance Imaging (fMRI), is a formidable task in neuroscience. Existing …

A framework of biomarkers for brain aging: a consensus statement by the Aging Biomarker Consortium

Aging Biomarker Consortium, YJ Jia, J Wang… - Life …, 2023 - academic.oup.com
China and the world are facing severe population aging and an increasing burden of age-
related diseases. Aging of the brain causes major age-related brain diseases, such as …

Association of biological age with health outcomes and its modifiable factors

WS Liu, J You, YJ Ge, BS Wu, Y Zhang, SD Chen… - Aging …, 2023 - Wiley Online Library
Identifying the clinical implications and modifiable and unmodifiable factors of aging
requires the measurement of biological age (BA) and age gap. Leveraging the biomedical …

Brain age prediction across the human lifespan using multimodal MRI data

S Guan, R Jiang, C Meng, B Biswal - GeroScience, 2024 - Springer
Measuring differences between an individual's age and biological age with biological
information from the brain have the potential to provide biomarkers of clinically relevant …

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's Disease and …

I Cumplido-Mayoral, M García-Prat, G Operto, C Falcon… - Elife, 2023 - elifesciences.org
Brain-age can be inferred from structural neuroimaging and compared to chronological age
(brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in …

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 …

Advanced structural brain aging in preclinical autosomal dominant Alzheimer disease

PR Millar, BA Gordon, JK Wisch, SA Schultz… - Molecular …, 2023 - Springer
Background “Brain-predicted age” estimates biological age from complex, nonlinear
features in neuroimaging scans. The brain age gap (BAG) between predicted and …