On Visualization and Interpretation of Complex Connectomic Results

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.