Abstract Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people. Deviations from healthy brain ageing have been …
Brain age is a neuroimaging-based biomarker of aging. This study examined whether the difference between brain age and chronological age (brain-PAD) is associated with …
Brain age is becoming a widely applied imaging-based biomarker of neural aging and potential proxy for brain integrity and health. We estimated multimodal and modality-specific …
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 …
The brain-age paradigm is proving increasingly useful for exploring aging-related disease and can predict important future health outcomes. Most brain-age research uses structural …
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 …
The concept of brain maintenance refers to the preservation of brain integrity in older age, while cognitive reserve refers to the capacity to maintain cognition in the presence of …
From a biological perspective, humans differ in the speed they age, and this may manifest in both mental and physical health disparities. The discrepancy between an individual's …
Brain age prediction studies aim at reliably estimating the difference between the chronological age of an individual and their predicted age based on neuroimaging data …