Waqas Majeed1, Matthew E. Magnuson2, Shella Keilholz2
1Department of Electrical Engineering, Lahore University of Management Sciences, School of Science and Engineering, Lahore, Punjab, Pakistan; 2Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta, GA, United States
This work demonstrates the use of spatiotemporal Fourier analysis for studying dynamic characteristics of low frequency fluctuations (LFFs) in resting state fMRI data. LFFs in rats contain propagating waves moving in lateral to medial direction. Our work demonstrates that this propagation pattern primarily consists of fast moving spectral components, and spatiotemporal velocity-selective filtering can be used improve the contrast-to-noise ratio of this pattern, when detected automatically. This type of analysis can be useful for detecting new patterns in LFFs, as well as analyzing dynamic imaging data in general.