no code implementations • 13 Dec 2022 • Kausar Abbas, Mintao Liu, Michael Wang, Duy Duong-Tran, Uttara Tipnis, Enrico Amico, Alan D. Kaplan, Mario Dzemidzic, David Kareken, Beau M. Ances, Jaroslaw Harezlak, Joaquín Goñi
(ii) In tangent-FCs, Main-diagonal regularization prior to tangent space projection was critical for ID rate when using Euclidean distance, whereas barely affected ID rates when using correlation distance.
no code implementations • 10 Nov 2020 • Uttara Tipnis, Kausar Abbas, Elizabeth Tran, Enrico Amico, Li Shen, Alan D. Kaplan, Joaquín Goñi
Our differential identifiability results show that the fingerprint gradients based on genetic and environmental similarities are indeed present when comparing FCs for all parcellations and fMRI conditions.
no code implementations • 11 Mar 2020 • Kausar Abbas, Mintao Liu, Manasij Venkatesh, Enrico Amico, Alan David Kaplan, Mario Ventresca, Luiz Pessoa, Jaroslaw Harezlak, Joaquín Goñi
Thus, an optimal regularization must be estimated on each dataset to uncover the most differentiable across-subject and reproducible within-subject geodesic distances between FCs.
no code implementations • 18 Apr 2019 • Muhammad Usman Sadiq, Diana Svaldi, Trey Shenk, Evan Breedlove, Victoria Poole, Greg Tamer, Kausar Abbas, Thomas Talavage
Graph-theoretical analyses of human brain structural networks have consistently shown the characteristic of small-worldness that reflects a network with both high segregation and high integration.