On Visualization and Interpretation of Complex Connectomic Results

Javid Dadashkarimi Presenter
Yale University
New Haven, CT 
United States
Software Demonstrations 
Structural and functional connectomes are widely used to characterize differences between individuals and groups (Finn, 2015; Turk, 2019; Hong, 2019). However, visualizing and interpreting these results is challenging, in part due to the large number of connections. Here, we provide a toolkit, as part of the BioImage Suite Web project (https://bioimagesuiteweb.github.io/webapp/connviewer.html), to visualize complex connectome-based results across multiple levels of feature summarization, improving interpretability.