Background Brain age is a biomarker that predicts chronological age using neuroimaging
features. Deviations of this predicted age from chronological age is considered a sign of age …

Brain age prediction using machine‐learning techniques has recently attracted growing
attention, as it has the potential to serve as a biomarker for characterizing the typical brain …

Increased life expectancy has led to a rise in age-related disorders including neurological
diseases such as Alzheimer's disease and Parkinson's disease. Limited progress has been …

Executive functions are higher-order mental processes that support goal-directed behavior.
Among these processes, Inhibition, Updating, and Shifting have been considered core …

The human brain is composed of functional networks that have a modular topology, where
brain regions are organized into communities that form internally dense (segregated) and …

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 …

Variation in cognitive ability arises from subtle differences in underlying neural architecture.
Understanding and predicting individual variability in cognition from the differences in brain …

The human brain generates a rich repertoire of spatio-temporal activity patterns, which
support a wide variety of motor and cognitive functions. These patterns of activity change …

Cerebral perfusion declines across the lifespan and is altered in the early stages of several
age‐related neuropathologies. Little is known, however, about the longitudinal evolution of …

The association between age and language recovery in stroke remains unclear. Here, we
used neuroimaging data to estimate brain age, a measure of structural integrity, and …