PT - JOURNAL ARTICLE AU - Grandjean, Joanes AU - Canella, Carola AU - Anckaerts, Cynthia AU - Ayrancı, Gülebru AU - Bougacha, Salma AU - Bienert, Thomas AU - Buehlmann, David AU - Coletta, Ludovico AU - Gallino, Daniel AU - Gass, Natalia AU - Garin, Clement M. AU - Nadkarni, Nachiket Abhay AU - Hübner, Neele AU - Karatas, Meltem AU - Komaki, Yuji AU - Kreitz, Silke AU - Mandino, Francesca AU - Mechling, Anna E. AU - Sato, Chika AU - Sauer, Katja AU - Shah, Disha AU - Strobelt, Sandra AU - Takata, Norio AU - Wank, Isabel AU - Wu, Tong AU - Yahata, Noriaki AU - Yeow, Ling Yun AU - Yee, Yohan AU - Aoki, Ichio AU - Chakravarty, M. Mallar AU - Chang, Wei-Tang AU - Dhenain, Marc AU - von Elverfeldt, Dominik AU - Harsan, Laura-Adela AU - Hess, Andreas AU - Jiang, Tianzi AU - Keliris, Georgios A AU - Lerch, Jason P. AU - Okano, Hideyuki AU - Rudin, Markus AU - Sartorius, Alexander AU - Van der Linden, Annemie AU - Verhoye, Marleen AU - Weber-Fahr, Wolfgang AU - Wenderoth, Nicole AU - Zerbi, Valerio AU - Gozzi, Alessandro TI - Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis AID - 10.1101/541060 DP - 2019 Jan 01 TA - bioRxiv PG - 541060 4099 - http://biorxiv.org/content/early/2019/02/08/541060.short 4100 - http://biorxiv.org/content/early/2019/02/08/541060.full AB - 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.