中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

文献类型:期刊论文

作者Grandjean, Joanes29; Canella, Carola30,31; Anckaerts, Cynthia32; Ayranci, Gulebru1; Bougacha, Salma33,34; Bienert, Thomas35,36,37; Buehlmann, David38; Coletta, Ludovico30,31; Gallino, Daniel1; Gass, Natalia2,39
刊名NEUROIMAGE
出版日期2020-01-15
卷号205页码:11
ISSN号1053-8119
关键词Functional connectivity Default-mode network ICA Seed-based Connectome
DOI10.1016/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.
WOS关键词DEFAULT-MODE NETWORK ; CONNECTIVITY NETWORKS ; ANESTHESIA PROTOCOLS ; MOTOR CORTEX ; MICE ; MRI ; GENE ; MICRODELETION ; FLUCTUATIONS ; CONNECTOMICS
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)
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.McGill Univ, Douglas Mental Hlth Univ Inst, Montreal, PQ, Canada
2.Univ Hosp Strasbourg, F-67000 Strasbourg, France
3.CIEA, 3-25-12 Tonomachi, Kawasaki, Kanagawa 2100821, Japan
4.Keio Univ, Sch Med, Dept Physiol, Shinjuku Ku, 35 Shinanomachi, Tokyo 1608582, Japan
5.Friedrich Alexander Univ Erlangen Nurnberg FAU, Inst Expt & Clin Pharmacol & Toxicol, Fahrstr 17, D-91054 Erlangen, Germany
6.Univ Manchester, Fac Life Sci, Manchester, Lancs, England
7.Natl Inst Quantum & Radiol Sci & Technol, Natl Inst Radiol Sci, Dept Mol Imaging & Theranost, Funct & Mol Imaging Team,Inage Ku, Anagawa 4-9-1, Chiba, Chiba 2638555, Japan
8.Katholieke Univ Leuven, Lab Res Neurodegenerat Dis, VIB Ctr Brain & Dis Res, O&N4 Herestr 49 Box 602, B-3000 Leuven, Belgium
9.Keio Univ, Dept Neuropsychiat, Sch Med, Shinjuku Ku, 35 Shinanomachi, Tokyo 1608582, Japan
10.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia
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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来源:自动化研究所

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