Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …

Abstract Background & Objective With populations aging, the number of people with
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …

Resting-state electroencephalography (EEG) studies have shown significant group
differences in functional connectivity networks between patients with depression and healthy …

We performed a systematic review of studies focusing on the automatic prediction of the
progression of mild cognitive impairment to Alzheimer's disease (AD) dementia, and a …

Despite the prevalence of research on single-subject cerebral morphological networks in
recent years, whether they can offer a reliable way for multicentric studies remains largely …

Recent studies indicate that a significant reorganization of cerebral networks may occur in
patients with chronic pain, but how immediate pain experience influences the organization …

Background A person consults a doctor when he or she is suspicious of their cognitive
abilities. Finding patients who can be converted into Alzheimer's in the future is a difficult …

Background and objective In view of the depression characteristics such as high prevalence,
high disability rate, high fatality rate, and high recurrence rate, early identification and early …

Autism spectrum disorder (ASD) is accompanied with impaired social-emotional functioning,
such as emotional regulation and recognition, communication, and related behavior. Study …

Mild cognitive impairment (MCI) is usually considered the early stage of Alzheimer's disease
(AD). Therefore, the accurate identification of MCI individuals with high risk in converting to …