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 refers to age predicted by brain features. Brain age has previously been
associated with various health and disease outcomes and suggested as a potential …

Introduction Neuroimaging-based 'brain age'can identify individuals with 'advanced'or
'resilient'brain aging. Brain-predicted age difference (brain-PAD) is predictive of cognitive …

Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle,
environment and disease. We developed a deep neural network model trained on brain MRI …

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 …

Brain age is a widely used index for quantifying individuals' brain health as deviation from a
normative brain aging trajectory. Higher-than-expected brain age is thought partially to …

Aging alters brain structure and function. Personal health markers and modifiable lifestyle
factors are related to individual brain aging as well as to the risk of developing Alzheimer's …

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 …

Brain-predicted age difference scores are calculated by subtracting chronological age from
'brain'age, which is estimated using neuroimaging data. Positive scores reflect accelerated …

Background Premature age-related brain changes may be influenced by physical health
factors. Lower socioeconomic status (SES) is often associated with poorer physical health. In …