Genetic generalized epilepsy is a network disorder typically involving distributed areas identified by classical neuroanatomy. However, the finer topo......
Object formation is considered the aim of perceptual organization, but such a proposition has been neglected in empirical studies. In the current stud......
Previous behavioral studies have shown that sharing painful experiences can strengthen social bonds and promote mutual prosociality, yet the neural me......
In magnetic resonance imaging (MRI) studies of fetal brain development, structural brain atlases usually serve as essential references for the fetal p......
Temporal concatenation group ICA (TC-GICA) is a widely used data-driven method to extract common functional brain networks among individuals. TC-GICA ......
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human brain networks during rest. There is considerable interest in d......
Brain signal variability has been consistently linked to functional integration; however, whether this coupling is associated with cognitive functions......
Neural responses to the same stimulus show significant variability over trials, with this variability typically reduced (quenched) after a stimulus is......
Using machine learning to predict the intensity of pain from fMRI has attracted rapidly increasing interests. However, due to remarkable inter- and in......
Although both schizophrenia and gray matter volume (GMV) show high heritability, however, genes accounting for GMV alterations in schizophrenia remain......
Working memory is a fundamental cognitive ability that allows the maintenance and manipulation of information for a brief period of time. Previous stu......
Cutting-edge recommendation algorithms have been widely used by media platforms to suggest users with personalized content. While such user-specific r......
The neural underpinnings of rumination can be characterized by its specific dynamic nature. Temporal stability is the stable and consistent representa......
Electroencephalogram (EEG) microstate analysis is a promising and effective spatio-temporal method that can segment signals into several quasi-stable ......
Flexibility is a hallmark of human intelligence. Emerging studies have proposed several flexibility measurements at the level of individual regions, t......
