Genetic research in Autism Spectrum Disorder (ASD) has progressed tremendously in
recent decades. Dozens of genetic loci and hundreds of alterations in the genetic sequence …

Purpose The targeted maximum likelihood estimation (TMLE) statistical data analysis
framework integrates machine learning, statistical theory, and statistical inference to provide …

Pediatric neuroimaging datasets are rapidly increasing in scales. Despite strict protocols in
data collection and preprocessing focused on improving data quality, the presence of head …

Functional MRI (fMRI) has become a popular technique to study brain functions and their
alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies …

Methylphenidate (MPH) is the recommended first-line treatment for attention-
deficit/hyperactivity disorder (ADHD). While MPH's mechanism of action as a dopamine and …

Quality control (QC) is an important stage for functional magnetic resonance imaging (fMRI)
studies. The methods for fMRI QC vary in different fMRI preprocessing pipelines. The …

Abstract The Neurovisceral Integration Model posits that shared neural networks support the
effective regulation of emotions and heart rate, with heart rate variability (HRV) serving as an …

Independent component analysis (ICA) is widely used to estimate spatial resting-state
networks and their time courses in neuroimaging studies. It is thought that independent …

Brain functional connectivity or connectome, a unique measure for brain functional
organization, provides a great potential to explain the neurobiological underpinning of …

Objective How abnormal brain signaling impacts cognition in autism spectrum disorder
(ASD) remained elusive. This study aimed to investigate the local and global brain signaling …