Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

Grandjean, J.; Canella, C.; Anckaerts, C.; Ayrancı, G.; Bougacha, S.; Bienert, T.; Buehlmann, D.; Coletta, L.; Gallino, D.; Gass, N.; Garin, C. M.; Nadkarni, N. A.; Hübner, N.; Karatas, M.; Komaki, Y.; Kreitz, S.; Mandino, F.; Mechling, A. E.; Sato, C.; Sauer, K.; Shah, D.; Strobelt, S.; Takata, N.; Wank, I.; Wu, T.; Yahata, N.; Yeow, L. Y.; Yee, Y.; Aoki, I.; Chakravarty, M. M.; Chang, W.-T.; Dhenain, M.; von Elverfeldt, D.; Harsan, L.-A.; Hess, A.; Jiang, T.; Keliris, G. A.; Lerch, J. P.; Okano, H.; Rudin, M.; Sartorius, A.; Van der Linden, A.; Verhoye, M.; Weber-Fahr, W.; Wenderoth, N.; Ze

doi:10.1101/541060

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bioRxiv · 10.1101/541060

Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

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Abstract

Preclinical applications of resting-state functional magnetic resonance imaging (rsfMRI) offer the possibility to non-invasively probe whole-brain network dynamics and to investigate the determinants of altered network signatures observed in human studies. Mouse rsfMRI has been increasingly adopted by numerous laboratories world-wide. Here we describe a multi-centre comparison of 17 mouse rsfMRI datasets via a common image processing and analysis pipeline. Despite prominent cross-laboratory differences in equipment and imaging procedures, we report the reproducible identification of several large-scale resting-state networks (RSN), including a murine default-mode network, in the majority of datasets. A combination of factors was associated with enhanced reproducibility in functional connectivity parameter estimation, including animal handling procedures and equipment performance. Our work describes a set of representative RSNs in the mouse brain and highlights key experimental parameters that can critically guide the design and analysis of future rodent rsfMRI investigations.

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Grandjean, J., Canella, C., Anckaerts, C., Ayrancı, G., Bougacha, S., Bienert, T., Buehlmann, D., Coletta, L., Gallino, D., Gass, N., Garin, C. M., Nadkarni, N. A., Hübner, N., Karatas, M., Komaki, Y., Kreitz, S., Mandino, F., Mechling, A. E., Sato, C., Sauer, K., Shah, D., Strobelt, S., Takata, N., Wank, I., Wu, T., Yahata, N., Yeow, L. Y., Yee, Y., Aoki, I., Chakravarty, M. M., Chang, W.-T., Dhenain, M., von Elverfeldt, D., Harsan, L.-A., Hess, A., Jiang, T., Keliris, G. A., Lerch, J. P., Okano, H., Rudin, M., Sartorius, A., Van der Linden, A., Verhoye, M., Weber-Fahr, W., Wenderoth, N., Ze. 2019-02-08. Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis. https://doi.org/10.1101/541060

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