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 …
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 …
Neuroimaging-based 'brain age'can identify individuals with 'advanced'or 'resilient'brain aging. Brain-predicted age difference (brain-PAD) is predictive of cognitive and physical …
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 …
Brain-predicted age difference scores are calculated by subtracting chronological age from 'brain'age, which is estimated using neuroimaging data. Positive scores reflect accelerated …
Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing …
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 …