Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis | |
Grandjean, Joanes39; Canella, Carola37,38; Anckaerts, Cynthia36; Ayranci, Gulebru35; Bougacha, Salma33,34; Bienert, Thomas30,31,32; Buehlmann, David29; Coletta, Ludovico37,38; Gallino, Daniel35; Gass, Natalia27,28 | |
刊名 | NEUROIMAGE |
2020-01-15 | |
卷号 | 205页码:11 |
关键词 | Functional connectivity Default-mode network ICA Seed-based Connectome |
ISSN号 | 1053-8119 |
DOI | 10.1016/j.neuroimage.2019.116278 |
通讯作者 | Grandjean, Joanes() |
英文摘要 | 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 worldwide. 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 mouse 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. RSN spatial specificity was enhanced in datasets acquired at higher field strength, with cryoprobes, in ventilated animals, and under medetomidine-isoflurane combination sedation. 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. |
资助项目 | Singapore Bioimaging Consortium (SBIC), A*STAR, Singapore ; Simons Foundation[SFARI 314688] ; Simons Foundation[400101] ; Brain and Behavior Foundation (2017 NARSAD independent Investigator Grant) ; European Research Council (ERC)[802371] ; JSPS KAKENHI[16K07032] ; JSPS KAKENHI[16K10233] ; JSPS KAKENHI[18K18375] ; Brain/MINDS ; Strategic Research Program for Brain Sciences (SRPBS) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (MEXT) ; Japan Agency for Medical Research and Development (AMED) ; AMED[JP19dm0307007h0002] ; AMED[JP19dm0307008h0002] ; AMED[JP19dm0307026h0002] ; AMED[17dm0107066h] ; COI program by Japan Science and Technology Agency (JST) ; ERATO by JST[JPMJER1801] ; Excellence Cluster 'BrainLinks-BrainTools' by the German Research Foundation[EXC1086] ; German BMBF[01EC1403C] ; German BMBF[02NUK034D] ; France-Alzheimer Association ; Plan Alzheimer Foundation ; French Public Investment Bank's ROMANE program ; Fund for Scientific Research Flanders (FWO)[G057615N] ; Fund for Scientific Research Flanders (FWO)[12S4815N] ; Stichting Alzheimer Onderzoek (SAO-FRA)[13026] ; interdisciplinary PhD grant BOF DOCPRO 2014 ; Innovative Medicine Initiative Joint Undertaking[115008] ; European Union's Seventh Framework Programme (FP7/2007-2013) ; German Research Foundation (Deutsche Forschungsgemeinschaft)[DFG SA 1869/15-1] ; German Research Foundation (Deutsche Forschungsgemeinschaft)[DFG GA 2109/2-1] |
WOS关键词 | DEFAULT-MODE NETWORK ; CONNECTIVITY NETWORKS ; ANESTHESIA PROTOCOLS ; MOTOR CORTEX ; MICE ; MRI ; GENE ; MICRODELETION ; FLUCTUATIONS ; CONNECTOMICS |
WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
语种 | 英语 |
出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
WOS记录号 | WOS:000502357600006 |
资助机构 | Singapore Bioimaging Consortium (SBIC), A*STAR, Singapore ; Simons Foundation ; Brain and Behavior Foundation (2017 NARSAD independent Investigator Grant) ; European Research Council (ERC) ; JSPS KAKENHI ; Brain/MINDS ; Strategic Research Program for Brain Sciences (SRPBS) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (MEXT) ; Japan Agency for Medical Research and Development (AMED) ; AMED ; COI program by Japan Science and Technology Agency (JST) ; ERATO by JST ; Excellence Cluster 'BrainLinks-BrainTools' by the German Research Foundation ; German BMBF ; France-Alzheimer Association ; Plan Alzheimer Foundation ; French Public Investment Bank's ROMANE program ; Fund for Scientific Research Flanders (FWO) ; Stichting Alzheimer Onderzoek (SAO-FRA) ; interdisciplinary PhD grant BOF DOCPRO 2014 ; Innovative Medicine Initiative Joint Undertaking ; European Union's Seventh Framework Programme (FP7/2007-2013) ; German Research Foundation (Deutsche Forschungsgemeinschaft) |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/29453] |
专题 | 自动化研究所_脑网络组研究中心 |
通讯作者 | Grandjean, Joanes |
作者单位 | 1.Univ Zurich, Zurich, Switzerland 2.McGill Univ, Dept Biol & Biomed Engn, Montreal, PQ, Canada 3.McGill Univ, Dept Psychiat, Montreal, PQ, Canada 4.Swiss Fed Inst Technol, Neurosci Ctr Zurich, Zurich, Switzerland 5.Imperial Coll London, UK DRI Ctr Care Res & Technol, London W12 0NN, England 6.Imperial Coll London, Dept Med, Div Brain Sci, Computat Cognit & Clin Imaging Lab, London W12 0NN, England 7.Univ Oxford, Wellcome Ctr Integrat Neuroimaging, Oxford OX3 9DU, England 8.Univ Freiburg, BrainLinks BrainTools Cluster Excellence, Georges Kohler Allee 80, D-79110 Freiburg, Germany 9.Univ Zurich, Inst Pharmacol & Toxicol, Winterthurerstr 190, CH-8057 Zurich, Switzerland 10.Univ Zurich, Dept Hlth Sci & Technol, Neural Control Movement Lab, Winterthurerstr 190, CH-8057 Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Grandjean, Joanes,Canella, Carola,Anckaerts, Cynthia,et al. Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis[J]. NEUROIMAGE,2020,205:11. |
APA | Grandjean, Joanes.,Canella, Carola.,Anckaerts, Cynthia.,Ayranci, Gulebru.,Bougacha, Salma.,...&Gozzi, Alessandro.(2020).Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis.NEUROIMAGE,205,11. |
MLA | Grandjean, Joanes,et al."Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis".NEUROIMAGE 205(2020):11. |
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