Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …

Replication of research findings is critical to the progress of scientific understanding.
Accordingly, most scientific journals require authors to report experimental procedures in …

We evaluated 1038 of the most cited structural and functional (fMRI) magnetic resonance
brain imaging papers (1161 studies) published during 1990–2012 and 270 papers (300 …

A comprehensive approach to sample size determination and power with applications for a
variety of fields Sample Size Determination and Power features a modern introduction to the …

Atlases encode valuable anatomical and functional information from a population. In this
work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high …

BACKGROUND: Fatty acid amide hydrolase (FAAH) is a key enzyme in regulating
endocannabinoid (eCB) signaling. A common single nucleotide polymorphism (C385A) in …

In the past, power analyses were not that common for fMRI studies, but recent advances in
power calculation techniques and software development are making power analyses much …

The defining feature of amyotrophic lateral sclerosis is degeneration of upper and lower
motor neurons but extramotor involvement, evidenced for example by executive dysfunction …

Healthy aging is typically accompanied by some decline in cognitive performance, as well
as by alterations in brain structure and function. Here we report the results of a randomized …

Inter‐subject correlation (ISC) is a widely used method for analyzing functional magnetic
resonance imaging (fMRI) data acquired during naturalistic stimuli. A challenge in ISC …