Imaging based bio-markers are important in classification of psychiatric disorders for accurate diagnosis. We evaluated the performance of using a macroscopic dispersion measure of the white matter tractogram in the random forest classifier for identifying bipolar subjects. The macroscopic dispersion of the white matter tractogram enables increased performance of the bipolar/normal classification. Multidimensional scaling plots support that the macroscopic changes along the brain white matter improves the discrimination of bipolar and normal groups.
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