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Abstract #4132

Automatic detection of spatiotemporal propagating patterns in BOLD fMRI of the rats using an ICA based approach

Muhammad Asad Lodhi 1 , Matthew E Magnuson 2 , Shella D Keilholz 2 , and Waqas Majeed 1

1 Department of Electrical Engineering, Lahore University of Management Sciences, Lahore, Punjab, Pakistan, 2 Biomedical Engineering, Georgia Institute of Technology/Emory University, GA, United States

Previous studies have demonstrated the presence of repeated propagating spatiotemporal patterns in resting state fMRI. This paper describes an ICA-based method to automatically detect propagating spatiotemporal patterns in resting state BOLD fMRI. The proposed method does not require specification of a region of interest (ROI) and is more time-efficient compared with the available alternative.

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