Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …

Diverse cognitive processes set different demands on locally segregated and globally
integrated brain activity. However, it remains an open question how resting brains configure …

Dynamic functional connectivity captures temporal variations of functional connectivity
during MRI acquisition and it may be a suitable method to detect cognitive changes in …

Background Cognitive impairment is a common non-motor symptom in Parkinson's disease.
So far, the underlying pathophysiology remains unclear. Several alterations in functional …

Background Resting state fMRI has emerged as a popular neuroimaging method for
automated recognition and classification of brain disorders. Attention Deficit Hyperactivity …

The human brain is a dynamic system that incorporates the evolution of local activities and
the reconfiguration of brain interactions. Reoccurring brain patterns, regarded as “brain …

In the last few decades, brain functional connectivity (FC) has been extensively assessed
using resting-state functional magnetic resonance imaging (RS-fMRI), which is able to …

Generative adversarial networks (GANs) are one powerful type of deep learning models that
have been successfully utilized in numerous fields. They belong to the broader family of …

Acupuncture therapy (AT) is a non-pharmacological method of treatment that has been
applied to various neurological diseases. However, studies on its longitudinal effect on the …