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Abstract #4643

Visualizing Connectomes Elucidated from Dimensionality Reduction in an Immersive Virtual Reality Environment (CAVE2)

Allen Q. Ye 1 , Galen Thomas-Ramos 2 , Johnson J. GadElkarim 3,4 , Olusola A. Ajilore 3 , Anand Kumar 3 , Richard L. Magin 1 , Jason Leigh 2 , and Alex D. Leow 3,5

1 Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 2 Department of Computer Science, University of Illinois at Chicago, IL, United States, 3 Department of Psychiatry, University of Illinois at Chicago, IL, United States, 4 Department of Electrical Engineering, University of Illinois at Chicago, IL, United States, 5 Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, California, United States

Current methods in developing brain connectomes use somewhat arbitrary or heuristic methods. Moreover, restriction in presentation formats typically relegate connectomes into a 2D environment. In this methodological abstract, we propose to use dimensionality reduction to take tractographic networks and convert them into an intrinsic space, one that is more correlated to graph distance. To address the issue of presentation, we use CAVE2, an immersive virtual reality environment. We believe that using such an immersive space will improve comprehension in clinicians of the complex structure of the brain, as well as allowing for newer, more advanced connectomes to be developed.

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