Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
people worldwide. Positron emission tomography/magnetic resonance (PET/MR) imaging is …

Signal processing is a very useful field of study in the interpretation of signals in many
everyday applications. In the case of applications with time-varying signals, one possibility is …

Learning-based methods offer performance leaps over traditional methods in classification
analysis of high-dimensional functional MRI (fMRI) data. In this domain, deep-learning …

Resting-state functional magnetic resonance imaging (rs-fMRI) offers a non-invasive
approach to examining abnormal brain connectivity associated with brain disorders. Graph …

Brain decoding is to predict the external stimulus information from the collected brain
response activities, and visual information is one of the most important sources of external …

The human brain can be considered as complex networks, composed of various regions that
continuously exchange their information with each other, forming the brain network graph …

The human brain is a complex network comprised of functionally and anatomically
interconnected brain regions. A growing number of studies have suggested that empirical …

Mild cognitive impairment plays a crucial role in predicting the early progression of
Alzheimer's disease, and it can be used as an important indicator of the disease …

Brain decoding that classifies cognitive states using the functional fluctuations of the brain
can provide insightful information for understanding the brain mechanisms of cognitive …

The early diagnosis of autism spectrum disorder (ASD) has been extensively facilitated
through the utilization of resting-state fMRI (rs-fMRI). With rs-fMRI, the functional brain …