Although many studies on brain-age prediction in patients with schizophrenia have been
reported recently, none has predicted brain age based on different neuroimaging modalities …

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 …

Background Cocaine use disorder (CUD) is a global health issue with severe behavioral
and cognitive sequelae. While previous evidence suggests a variety of structural and age …

The increasing lifespan and large individual differences in cognitive capability highlight the
importance of comprehending the aging process of the brain. Contrary to visible signs of …

Abstract Background and Hypothesis The brain-predicted age difference (brain-PAD) may
serve as a biomarker for neurodegeneration. We investigated the brain-PAD in patients with …

The morphology of the brain undergoes changes throughout the aging process, and
accurately predicting a person's brain age and gender using brain morphology features can …

The increasing lifespan and large individual differences in cognitive capability highlight the
importance of comprehending the aging process of the brain. Contrary to visible signs of …

Convolutional neural network (CNN) can predict chronological age accurately based on
MRI. However, most studies use single feature to predict brain age in healthy individuals …

A ge-related diseases have been increasing over the past years [5, 6]. The search for
biomarkers that can predict the healthy and pathological ageing of the brain has been …

Objectives: Accelerated brain-aging ie, the age-related structural changes in the brain
appearing earlier than expected from one's chronological age, is a feature that is now well …