1 citations · 1 across the 4 of their papers we have counts for
4 papers
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression
Tong Lu, Yuan Zhang, Vince Lyzinski +4
The joint analysis of multimodal neuroimaging data is critical in the field of brain research because it reveals complex interactive relationships between neurobiological structure…
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints
Tong Lu, Yuan Zhang, Peter Kochunov +2
Brain connectome analysis commonly compresses high-resolution brain scans (typically composed of millions of voxels) down to only hundreds of regions of interest (ROIs) by averagin…
Overlaying Quantitative Measurement on Networks: An Evaluation of Three Positioning and Nine Visual Marker Techniques
Guohao Zhang, Alexander P. Auchus, Peter Kochunov +2
We report results from an experiment on ranking visual markers and node positioning techniques for network visualizations. Inspired by prior ranking studies, we rethink the ranking…
A Network Object Method to Uncover Hidden Disorder-Related Brain Connectome
Shuo Chen, Yishi Xing, Jian Kang +3
Neuropsychiatric disorders impact functional connectivity of the brain at the network level. The identification and statistical testing of disorder-related networks remains challen…