Cognitive control decline is a major manifestation of brain aging that severely impairs the
goal-directed abilities of older adults. Magnetic resonance imaging evidence suggests that …

The human visual cortex is a heterogeneous entity that has multiple subregions showing
substantial variability in their functions and connections. We aimed to identify genes …

Although many deep learning models-based medical applications are performance-driven,
ie, accuracy-oriented, their explainability is more critical. This is especially the case with …

Switching is a difficult cognitive process characterised by costs in task performance;
specifically, slowed responses and reduced accuracy. It is associated with the recruitment of …

Cognitive control can be applied flexibly when task goals or environments change (ie,
cognitive flexibility), or stably to pursue a goal in the face of distraction (ie, cognitive stability) …

Objective. Robot-assisted rehabilitation training is an effective way to assist rehabilitation
therapy. So far, various robotic devices have been developed for automatic training of …

Multi-paradigm deep learning models show great potential for dynamic functional
connectivity (dFC) analysis by integrating complementary information. However, many of …

Previous studies have investigated the neural mechanisms underlying cognitive control by
using the task-switching paradigm, but differentiation from response rule switching (RR …

Top-down attention mechanisms require the selection of specific objects or locations;
however, the brain mechanism involved when attention is allocated across different …

The burgeoning interest in how voluntary actions are organized into goal-based behaviors
has produced a rich body of data showing that task representations are complex, integrating …