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Abstract #2892

The EMD-Test for Shape-Based Morphometry.

Nathan Faggian1,2, India Bohanna2, Leigh A. Johnston2,3, Nellie Georgiou-Karistianis4, Gary Francis Egan1,2

1Center for Neuroscience, Melbourne University, Melbourne, Victoria, Australia; 2Neuroimaging, Howard Florey Institute, Melbourne, Victoria, Australia; 3Department of Electrical and Electronic Engineering, Melbourne University, Melbourne, Victoria, Australia; 4Centre for Developmental Psychiatry, Monash University, Melbourne, Victoria, Australia

Shape analyses commonly assume normality and apply an appropriate statistical test correction. However, non-parametric methods such as the KS-test are more suitable when normality is not assured. Parametric methods are inaccurate when applied to non-normally distributed data and require correction. Our aim was to use non-parametric shape analysis methods to investigate shape differences between Huntingtons Disease (HD) patients and controls. Non-parametric shape differences were examined using a novel statistical method based on Earth Movers Distance (EMD).