Alexander B, Georgiou-Karistianis N, Beare R, et al. - Researchers intended to ascertain which of three automated procedures would most accurately segment amygdalae in Huntington's disease (HD): FreeSurfer, FIRST, and ANTS nonlinear registration followed by FIRST segmentation. Utilizing FreeSurfer and FIRST, T1-weighted images for the IMAGE-HD cohort enrolling 35 presymptomatic HD (pre-HD), 36 symptomatic HD (symp-HD), and 34 healthy controls were segmented. Images were nonlinearly registered to an MNI template using ANTS, then segmented using FIRST for the third approach. The study presents sample size estimation graphs based on sample size and other factors to assist the choice of segmentation approach. It was indicated that FreeSurfer may effectively distinguish amygdala volume between controls and HD, whether automated segmentation is employed in samples of the current size