Childhood obesity has become a global health problem. Previous studies showed that
childhood obesity is associated with brain structural differences relative to controls …

Through technological innovations, patient cohorts can be examined from multiple views
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …

As a multivariate data analysis tool, canonical correlation analysis (CCA) has been widely
used in computer vision and pattern recognition. However, CCA uses Euclidean distance as …

The investigation of similarities and differences in the mechanisms of verbal and
visuospatial creative thinking has long been a controversial topic. Prior studies found that …

Abstract Introduction Nucleus accumbens (NAc), a crucial component of the brain's reward
network, plays a role in reward-related behaviors like substance use. However, limited …

Background: Nucleus accumbens (NAc) is a brain structure with a well-established role in
the brain reward processing system. Altered function of the NAc is shown to have a role in …

Background: Exposure to stressful life events (SLEs) can upset balance and affect the
healthy brain development of children and youths. These events may influence substance …

Through technological innovations, patient cohorts can be examined from multiple views
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …

Through technological innovations, patient cohorts can be examined from multiple views
with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict …

Las técnicas de aprendizaje automático están siendo cruciales en el campo de la salud y,
en particular, en el análisis de las enfermedades mentales. Estas se estudian habitualmente …