Animal studies of neurodevelopment have shown that recordings of intrinsic cortical activity
evolve from synchronized and high amplitude to sparse and low amplitude as plasticity …

Abstract Background The 22q11. 2 deletion syndrome (22qDel) is a genetic copy number
variant that strongly increases risk for schizophrenia and other neurodevelopmental …

While clusterwise inference is a popular approach in neuroimaging that improves sensitivity,
current methods do not account for explicit spatial autocorrelations because most use …

Introduction Analysis of task fMRI studies is typically based on using ordinary least squares
within a voxel-or vertex-wise linear regression framework known as the general linear …

Neuroimaging visualizations form the centerpiece of the interpretation and communication of
scientific results, and are a cornerstone for data quality control. Often, these images and …

Background Anorexia nervosa is a severe psychiatric disorder with a heterogeneous course
with one of the highest rates of morbidity and mortality of all psychiatric disorders. Little is …

Functional MRI (fMRI) data may be contaminated by artifacts arising from a myriad of
sources, including subject head motion, respiration, heartbeat, scanner drift, and thermal …

Environmental influences on brain structure and function during early development have
been well-characterized. In pre-registered analyses, we test the theory that socioeconomic …

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 …

Introduction The complexity of brain signals may hold clues to understand brain-based
disorders. Sample entropy, an index that captures the predictability of a signal, is a …