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Abstract #1666

0: A Web-Based Probabilistic Tractography Data Service

Chris James Rose1,2, David Morris1,2, Hamied Haroon1,2, Karl Embleton, 2,3, Nikos Logothetis1,4, Matthew Lambon Ralph3, Geoffrey J. Parker1,2

1Imaging Science and Biomedical Engineering, The University of Manchester, Manchester, United Kingdom; 2The University of Manchester Biomedical Imaging Institute, Manchester, United Kingdom; 3School of Psychological Sciences, The University of Manchester, Manchester, United Kingdom; 4Max Planck Institute for Biological Cybernetics, Tbingen, Germany

We present version 2.0 of, a freely-available web-based system for exploring connectivity strengths between cortical and subcortical regions in a database of individuals. Connectivity strength is computed using diffusion MRI and probabilistic tractography. Version 2.0 is a significant update: connectivity strengths are presented in an interactive connectivity matrix and controls allow the user to study connectivity in individuals who meet certain criteria (e.g., right-handed males aged 25-50), and connectivity strengths for individuals belonging to different groups can be visually and quantitatively compared (e.g., right-handed males vs. females).