Netmats MegaTrawl Released

Author: Jenn Elam

Published: Apr 29, 2015

Study: HCP Young Adult

We are pleased to announce the release of the “Netmats MegaTrawl”, a set of webpages inside ConnectomeDB that summarizes analyses of the relationships between imaging and non-imaging measures in the Human Connectome Project.

Multivariate-prediction and univariate-regression were used to relate 187 non-imaging behavioral and demographic subject measures (SMs: age, sex, education, tobacco use, fluid intelligence (IQ), reading ability, etc.) to 461 individuals’ functional connectivity resting-state fMRI (rfMRI) data.

Multivariate analyses seek to model (across subjects) a given subject measure, finding a set of edge weights (functional connections between brain regions, or parcels) in the data that can partially explain that subject measure. Results of this analysis are presented as web pages that enable visualization of the group-ICA parcellations utilized for a given MegaTrawl analysis, group-average netmats (network functional connectivity matrices), heritability calculations, and multivariate prediction and univariate regression results for each subject measure with thumbnail volume images showing the edges (node – pairs) whose connection most strongly correlates with the variable.

To get access, login into ConnectomeDB (sign up for an account if you don’t have one) and click Open Dataset for the WU-Minn HCP Data project. The Netmats MegaTrawl link is about halfway down the project page. Or use https://db.humanconnectome.org/data/projects/HCP_500#megatrawl and login when prompted.

Full documentation on the NetmatsMegatrawl release is at https://db.humanconnectome.org/megatrawl/HCP500_MegaTrawl_April2015.pdf (requires login).