Brain age, most commonly inferred from T1-weighted magnetic resonance images (T1w
MRI), is a robust biomarker of brain health and related diseases. Superior accuracy in brain …

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 …

In the realm of cognitive science, the phenomenon of “successful cognitive aging” stands as
a hallmark of individuals who exhibit cognitive abilities surpassing those of their age …

The intricate dynamics of brain aging, especially the neurodegenerative mechanisms driving
accelerated (ABA) and resilient brain aging (RBA), are pivotal in neuroscience …

Brain ageing is a highly variable, spatially and temporally heterogeneous process, marked
by numerous structural and functional changes. These can cause discrepancies between …

The aging brain is characterized by a decline in physical and mental capacities and
susceptibility to neurological disorders. Magnetic resonance imaging (MRI) has proven to be …

Accelerated brain aging (ABA) intricately links with age-associated neurodegenerative and
neuropsychiatric diseases, emphasizing the critical need for a nuanced exploration of …

In a labor market that demands a workforce well-trained in science, technology, engineering,
and mathematics (STEM) subjects, it is required of children to successfully develop their …

Brain age measures predicted from structural and functional brain features are increasingly
being used to understand brain integrity, disorders, and health. While there is a vast …

目的院提出一种基于深度卷积生成对抗网络(deep convolutional generative adversarial
network, DCGAN) 的大脑年龄预测方法, 以客观评估大脑健康状态. 方法院首先, 将二维DCGAN …