|Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group|
S Kelly, N Jahanshad, A Zalesky, P Kochunov, I Agartz, C Alloza, ...
Molecular psychiatry 23 (5), 1261, 2018
|Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study|
CD Whelan, A Altmann, JA Botía, N Jahanshad, DP Hibar, J Absil, ...
Brain 141 (2), 391-408, 2018
|Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia|
P Kochunov, H Ganjgahi, A Winkler, S Kelly, DK Shukla, X Du, ...
Human brain mapping 37 (12), 4673-4688, 2016
|ENIGMA and global neuroscience: a decade of large-scale studies of the brain in health and disease across more than 40 Countries|
P Thompson, N Jahanshad, CRK Ching, LE Salminen, SI Thomopoulos, ...
|ENIGMA-Viewer: Interactive Visualization Strategies for Conveying Effect Sizes in Meta-Analysis|
G Zhang, P Kochunov, E Hong, N Jahanshad, P Thompson, J Chen
Conference on Bioinformatics, Computational Biology, and Health Informatics, 2016
|Measuring the Effects of Scalar and Spherical Colormaps on Ensembles of DMRI Tubes|
J Chen, G Zhang, W Chiou, DH Laidlaw, AP Auchus
IEEE transactions on visualization and computer graphics, 2019
|Towards Visual Mega-Analysis of Voxel-based Measurement in Brain Cohorts|
G Zhang, P Kochunov, E Hong, H Carr, J Chen
EuroVis 2016 - Short Papers, 2016
|Study on DC output of lock-in amplifier with duty cycles rectangle wave as signal source|
GH Zhang, YB Chen, XP Zhang
Zhongguo Ceshi/ China Measurement & Test 37 (6), 91-93, 2011
|A systems-level analysis highlights microglial activation as a modifying factor in common forms of human epilepsy|
A Altmann, M Ryten, M Di Nunzio, T Ravizza, D Tolomeo, RH Reynolds, ...
bioRxiv, 470518, 2018
|Overlaying Quantitative Measurement on Networks: An Evaluation of Three Positioning and Nine Visual Marker Techniques|
G Zhang, AP Auchus, P Kochunov, N Elmqvist, J Chen
arXiv preprint arXiv:1711.04419, 2017
|A Unified Semiotics Framework for Spatial and Non-Spatial Brain Network Data Visualizations|
University of Maryland, Baltimore County, 2017