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Abstract #4512

Impact of processing pipelines on biological findings of large scale multicenter DTI studies

Chung-Man Moon1, Amritha Nayak1,2, M. Okan Irfanoglu1, and Carlo Pierpaoli 1
1National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States, 2Henry M. Jackson Foundation for the Advancement of Military Medicine, Rockville, MD, United States

Different post-processing pipelines might influence the research or even clinical conclusions obtained from diffusion MRI. Our study investigated the impact of alternative pre-processing techniques and spatial normalization approaches on the outcome of a large multicenter study in schizophrenia that was originally analyzed using the ENIGMA pipeline. Our main finding is the discovery of profound effects of the spatial normalization approach used, on both biological conclusions and inter-site harmonization of the results.

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