In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …

Electroencephalographic (EEG) methods have great potential to serve both basic and
clinical science approaches to understand individual differences in human neural function …

Autism spectrum disorder (ASD) is an increasingly prevalent and heterogeneous
neurodevelopmental condition, characterized by social communicative differences, and a …

Research on early biomarkers and behavioral precursors of autism has led to interventions
initiated during the infant period that could potentially change the course of infant brain and …

Introduction Anxiety is the most common manifestation of psychopathology in youth,
negatively affecting academic, social, and adaptive functioning and increasing risk for …

Predictive models in neuroimaging are increasingly designed with the intent to improve risk
stratification and support interventional efforts in psychiatry. Many of these models have …

Background Progress have been made in brain function recovery after long-term abstinence
in person with heroin addiction (PHA). However, less is known about whether the nucleus …

Brain differences linked to autism spectrum disorder (ASD) can manifest before observable
symptoms. Studying these early neural precursors in larger and more diverse cohorts is …

The complexity of neural activity is a commonly used readout of healthy functioning in
cortical circuits. Previous work has linked neural complexity to the level of maternal care in …

There are growing application of machine learning models to study the intricacies of non-
linear and non-stationary characteristics of electroencephalography (EEG) and …