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 …

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 …

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 …

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 …

As an important biomarker of neural aging, the brain age reflects the integrity and health of
the human brain. Accurate prediction of brain age could help to understand the underlying …

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 …

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 …

The concept of 'brain age', derived from neuroimaging data, serves as a crucial biomarker
reflecting cognitive vitality and neurodegenerative trajectories. In the past decade, machine …

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 …

The study of brain age has emerged over the past decade, aiming to estimate a person's
age based on brain imaging scans. Ideally, predicted brain age should match chronological …