Top Row: Statistical Volumes (r=1, d=239) from Wu Tao (NITRC/INDI). Bottom row: Statistical Volumes (r=1, d=137) from NEUROCON (NITRC/INDI).
These depictions are produced from the approach described in my paper [PubMed], Locally Linear Embedding and fMRI feature selection in psychiatric classification.

Visualisations for other published figures: ADHD:ADHD200 (Peking_1, Peking_2, and Peking_3 datasets) [184.3MB]
AUTISM: ABIDE: part 1 (UCLA_1 and UM_1 datasets) [175.4MB], part 2 (Yale and Stanford datasets) [87.4MB], part 3 (USM and UM_2 datasets) [90.4MB].
SCHIZOPHRENIA: COBRE/MRN (resting-state and block-design datasets) [66.7MB]
PARKINSONS: PPMI [120.2MB] NEUROCON/TAOWU [17.6MB] (FULL [41.7MB]) (New [unpublished] work)

Big thanks to John Muschelli at JHU, and Dr. Duncan Murdoch (for adding mobile gestures to rGL) who made these easy-to-consume depictions possible
P.S. you are probably (still) best-served if you (still) view these pages on a real computer, as the renderings may not load on certain mobile device/browser configurations!