Dynamic resting state fMRI in mice: detection of Quasi-Periodic Patterns

Belloy, M; Naeyaert, M; Keliris, G; Abbas, A; Keilholz, S; van der Linden, A; Verhoye, M

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Meeting Abstract

Dynamic resting state fMRI in mice: detection of Quasi-Periodic Patterns

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Keliris, G
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Belloy, M., Naeyaert, M., Keliris, G., Abbas, A., Keilholz, S., van der Linden, A., et al. (2017). Dynamic resting state fMRI in mice: detection of Quasi-Periodic Patterns. In 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017) (pp. 566-567).

Zitierlink: https://hdl.handle.net/21.11116/0000-0000-C5AC-0

Zusammenfassung

We report, to our knowledge, the first application of a dynamic rsfMRI approach in mice and show the reliable detection of Quasi-Periodic Patterns (QPP) at both the group-level as well as in single-subject data. These patterns are consistent with QPPs detected previously in humans and rats, displaying a high intensity wave spreading across the cortex from lateral towards upward medial, followed by a low intensity wave in the same direction. These findings are promising for the application of QPPs towards investigating mouse resting state functional connectivity and its development as a potential new pre-clinical tool.