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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