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Abstract #3759

Quasi-Periodic patterns contribute to rsfMRI functional connectivity in a mouse model of Alzheimer’s disease

Michaël Eddy F Belloy1, Disha Shah1, Behnaz Yousefi2, Anzar Abbas2, Amrit Kayshap3, Annemie van Der Linden1, Georgios A. Keliris1, Shella Keilholz2, and Marleen Verhoye1

1University of Antwerp, Antwerpen, Belgium, 2Emory university, Atlanta, GA, United States, 3Emory University, Georgia, GA, United States

We show the detection of Quasi-Periodic patterns (QPPs) in a mouse model of Alzheimer’s disease and illustrate that QPP detection was altered between wild-type and transgenic animals. We show that QPPs contributed to BOLD functional connectivity (FC) within groups and to FC differences between groups. Regression of QPPs diminished FC in co-active regions within the QPP, while anti-correlated regions became correlated. Regression of similar QPPs in wild-type and transgenic animals altered between-group FC differences by 30-50%. These findings shed light on how QPPs contribute to FC and are promising for the application of QPPs as a new pre-clinical tool.

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