Early-onset Alzheimer's disease (EOAD) is a rare but particularly devastating form of AD.
Though notable for its high degree of clinical heterogeneity, EOAD is defined by the same …

Aging biomarkers are a combination of biological parameters to (i) assess age-related
changes,(ii) track the physiological aging process, and (iii) predict the transition into a …

Population-level modeling can define quantitative measures of individual aging by applying
machine learning to large volumes of brain images. These measures of brain age, obtained …

Examining the benefits and drawbacks of social media usage on academic performance: a
study among university students in Bangladesh | Emerald Insight Books and journals Case …

Abstract “Brain-predicted age” quantifies apparent brain age compared to normative
neuroimaging trajectories. Advanced brain-predicted age has been well established in …

Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

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 …

Cognitive decline is amongst one of the most commonly reported complaints during normal
aging. Despite evidence that age and cognition are linked with similar neural correlates, no …

Introduction Alzheimer's disease (AD) is a neurodegenerative disease that significantly
impacts the quality of life of patients and their families. Neuroimaging-driven brain age …

Aims Elevated blood pressure (BP) is a prevalent modifiable risk factor for cardiovascular
diseases and contributes to cognitive decline in late life. Despite the fact that functional …