Abstract #3325

Effect of window length on quasi-periodic pattern template correlation with fMRI data

Anzar Abbas¹, Waqas Majeed², Garth Thompson³, and Shella Keilholz⁴

¹Neuroscience Program, Emory University, Atlanta, GA, United States, ²School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan, ³Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, ⁴Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States

Quasi-periodic patterns that include alternation between the default mode and task positive networks are known to occur in humans and their templates can be acquired using a previously developed QPP-finding algorithm. The algorithm, however, relies on a user-specified window length for the QPP, the optimal size of which is not known. We apply the QPP algorithm on rsfMRI scans using varying window lengths and compare properties of observed QPP templates. Our results indicate an optimal window length adequately depicting QPP occurrences in human functional data. This will allow us to accurately characterize QPPs and study how they may be affecting functional connectivity measurements and brain function.

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