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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