Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer
segmentations of structural MRI volumes, in minutes rather than hours. The network was …

Studies of adolescent body image and screen use are mostly limited to girls, and
longitudinal data are scarce. We examined cross-sectional and longitudinal associations …

Appearance-based social comparison has been found to be both a risk and maintenance
factor for body dissatisfaction. However, the brain mechanism involved in appearance …

Using lexical judgment tasks, the present study explored whether perspective taking affected
attention bias to body-related information among junior high school students with body …

High-dimensional time series are characterized by a large number of measurements and
complex dependence, and often involve abrupt change points. We propose a new …

In this paper, we describe a deep neural network trained to predict FreeSurfer
segmentations of structural MRI volumes, in seconds rather than hours. The network was …

For many young women, their relationships with fitness, health and the body are shaped by
unrealistic beauty ideals. Body image scholars have long focused on the impacts of the …

Attentional biases have received considerable focus in research on cognitive biases and
body dissatisfaction (BD). However, most work has focused on spatial allocation of attention …

Although frequent coexistence of chronic pain and emotional disorders is well documented,
exact mechanisms of comorbidity are not fully understood. The overarching aim of this thesis …