Analysis of functional connectivity networks (FCNs) derived from resting-state functional
magnetic resonance imaging (rs-fMRI) has greatly advanced our understanding of brain …

In this study, attention deficit hyperactivity disorder (ADHD), a childhood
neurodevelopmental disorder, is being studied alongside its comorbidity, conduct disorder …

Background Incorporating the time-frequency localization properties of Gabor transform
(GT), the complexity understandings of convolutional neural network (CNN), and histogram …

Generalized Anxiety Disorder (GAD) is a prevalent mental disorder on the rise in modern
society. It is crucial to achieve precise diagnosis of GAD for improving the treatments and …

Background A multi-method, multi-informant approach is crucial for evaluating attention-
deficit/hyperactivity disorders (ADHD) in preschool children due to the diagnostic …

Cervical spondylotic myelopathy (CSM) is the most severe type of cervical spondylosis. It is
challenging to achieve early diagnosis with current clinical diagnostic tools. In this paper, we …

Eriocheir sinensis is an economically important aquatic animal. Its regulatory mechanisms
underlying many biological processes are still vague due to the lack of systematic analysis …

Nocturnal enuresis (NE) is involuntary bedwetting during sleep, typically appearing in young
children. Despite the potential benefits of the long-term home monitoring of NE patients for …

ADHD is a prevalent childhood behavioral problem. Early ADHD identification is essential
towards addressing the disorder and minimizing its negative impact on school, career …

Attention deficit hyperactivity disorder (ADHD) represents a medical condition characterized
by the presence of inattention, hyperactivity, and impulsivity, which affects the academic …