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Abstract #3007

Characterization of Structural Connectivity of the Default Mode Network in Dogs using Diffusion Tensor Imaging

Madhura Baxi 1,2 , Jennifer Robinson 1,3 , Paul Waggoner 4 , Ronald Beyers 1 , Edward Morrison 5 , Nouha Salibi 1,6 , Thomas S. Denney Jr. 1,3 , Vitaly Vodyanoy 5 , and Gopikrishna Deshpande 1,3

1 AU MRI Research Center, Dept. of Electrical & Computer Engineering, Auburn University, Auburn, Al, United States, 2 Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States, 3 Dept. of Psychology, Auburn University, Auburn, Al, United States, 4 Canine Detection Research Institute, Auburn University, Auburn, Al, United States, 5 Dept. of Anatomy, Physiology & Pharmacology, Auburn University, Auburn, Al, United States, 6 MR R&D, Siemens Healthcare, Malvern, PA, United States

DTI-based atlas has been created for a canine model which could be used to investigate various white matter diseases. DTI tractography based structural connectivity between Anterior Cingulate Cortex (ACC) and Posterior Cingulate Cortex (PCC) regions of the default mode network was computed in dogs and was compared with that in humans to investigate evolution of cognitive functions in humans and provide structural basis for the dissociation of anterior and posterior parts of Default Mode Network (DMN) found in a recently conducted resting state fMRI study.

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