Exploring the brain connectivity with 2D neural maps
Radu Jianu, Çağatay Demiralp, and David H. Laidlaw
We introduce two-dimensional neural maps for exploring connectivity in the brain. For this, we create standard stream-tube models from DTI brain data sets along with neural paths hierarchically projected into the plane. The result are planar brain-maps that have the desirable properties of low-dimensional representations such as visual clarity and ease of TOI selection while preserving the anatomical familiarity of 3D brain models and planar sectional views. We also provide a web interface by integrating our representation into a geographical digital maps framework. We compare our method to a recently proposed two-dimensional point representation with help of experts. Expert feedback indicate that our new representation is more intuitive, easier to use and learn. Also, the web interface provided with a digital map like interaction is commented to be useful for collaboration as well as quick exploration of data.
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