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Abstract #1108

Multi-centre resting-state fMRI comparison reveals common functional networks in the mouse brain.

Joanes Grandjean1, Carola Canella2,3, Cynthia Anckaerts4, Gülebru Ayrancı5, Ludovico Coletta2,3, Daniel Gallino5, Natalia Gass6, Neele Hübner7, Silke Kreitz8, Anna E Mechling7, Sandra Strobelt8, Tong Wu9,10, Isabel Wank8, Mallar Chakravarty5,11, Wei-Tang Chang1, Dominik von Elverfeldt7, Laura-Adela Harsan12, Andreas Hess8, Georgios Keliris4, Markus Rudin13,14, Alexander Sartorius6, Tianzi Jiang9,15,16, Annemie Van der Linden4, Marleen Verhoye4, Wolfgang Weber-Fahr6, Nicole Wenderoth17, Valerio Zerbi17, and Alessandro Gozzi2

1Singapore Bioimaging Consoritum, Agency for Science, Technology and Research, Singapre, Singapore, 2Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ UNITN, Rovereto, Italy, 3Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy, 4Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium, 5Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada, 6Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany, 7Department of Radiology, University of Freiburg, Freiburg, Germany, 8Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany, 9Queensland Brain Institute, The University of Queensland, Brisbane, Australia, 10Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom, 11Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada, 12Department of Biophysics and Nuclear Medicine, University Hospital Strasbourg, Strasbourg, France, 13Institute for Biomedical Engineering, University and ETH Zürich, Zürich, Switzerland, 14Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland, 15Institute of Automation, Chinese Academy of Sciences, Beijing, China, 16School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China, 17Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland

Functional imaging studies in rodent have gained considerable momentum over the past years, holding the promise to provide a crucial translational tool to comprehend the functional signatures of the healthy and diseased brain. Mouse resting-state (rs-)fMRI has been adopted by numerous laboratories world-wide, yet, variations in equipment, animal handling and data analysis protocols render the comparison of results between studies difficult. We have carried out a multi-centre comparison comprising 12 mice rs-fMRI datasets analysed through a common pipeline and identified the major resting-state networks expressed across datasets. We provide a detailed investigation into the reproducibility and robustness of the protocols.

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