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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