Tara M. Madhyastha

TL;DR: It is illustrated how time curves can visually reveal informative patterns in a range of different datasets.

TL;DR: In both data sets, nonlinear registration provided higher test-retest reliability of the output fractional anisotropy (FA) maps than field map-based unwarping, even when accounting for the effect of interpolation on the smoothness of the images.

TL;DR: The piling metaphor and associated interaction and visual encodings allowed neuroscientists to explore their data, prior to a statistical analysis, and detected high‐level temporal patterns in individual networks and this helped them to formulate and reject several hypotheses.

TL;DR: It is shown that WM integrity in select cerebral regions is associated with higher cognitive abilities and accounts variance not accounted for by PS or age, and while FA is selectively associated with PS; while MD, AD and RD are associated with reasoning, flexibility and PS.

TL;DR: This work investigates reliability and statistical power of cortical thickness, surface area, volume, and the volume of subcortical structures in a large sample of healthy elderly subjects (64+ years) and publicly provides a tool to perform a priori power analysis and sensitivity analysis to help evaluate previously published studies and to design future studies with sufficient statistical power.