Knowledge Commons of Institute of Automation,CAS
Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis | |
Grandjean, Joanes1; Canella, Carola2,3; Anckaerts, Cynthia4; Ayranci, Gulebru5; Bougacha, Salma6,7; Bienert, Thomas8,9,10; Buehlmann, David11; Coletta, Ludovico2,3; Gallino, Daniel5; Gass, Natalia12,13; Garin, Clement M.6,7; Nadkarni, Nachiket Abhay6,7; Huebner, Neele S.8,9,10; Karatas, Meltem8,9,14; Komaki, Yuji15,16; Kreitz, Silke17; Mandino, Francesca1,18; Mechling, Anna E.8,9,10; Sato, Chika19; Sauer, Katja17; Shah, Disha4,20; Strobelt, Sandra17; Takata, Norio15,21; Wank, Isabel17; Wu, Tong22,23,24,25,26,27,28; Yahata, Noriaki19; Yeow, Ling Yun1; Yee, Yohan29; Aoki, Ichio19; Chakravarty, M. Mallar5,30,31; Chang, Wei-Tang1; Dhenain, Marc6,7; von Elverfeldt, Dominik8,9,10; Harsan, Laura-Adela14; Hess, Andreas17; Jiang, Tianzi22,23,32; Keliris, Georgios A.4; Lerch, Jason P.29,33; Meyer-Lindenberg, Andreas34; Okano, Hideyuki16,35; Rudin, Markus11,36,37,38; Sartorius, Alexander12,13; Van der Linden, Annemie4; Verhoye, Marleen4; Weber-Fahr, Wolfgang12,13; Wenderoth, Nicole38,39; Zerbi, Valerio38,39; Gozzi, Alessandro2 | |
发表期刊 | NEUROIMAGE |
ISSN | 1053-8119 |
2020-01-15 | |
卷号 | 205页码:11 |
通讯作者 | Grandjean, Joanes() |
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. |
关键词 | Functional connectivity Default-mode network ICA Seed-based Connectome |
DOI | 10.1016/j.neuroimage.2019.116278 |
关键词[WOS] | DEFAULT-MODE NETWORK ; CONNECTIVITY NETWORKS ; ANESTHESIA PROTOCOLS ; MOTOR CORTEX ; MICE ; MRI ; GENE ; MICRODELETION ; FLUCTUATIONS ; CONNECTOMICS |
收录类别 | SCI |
语种 | 英语 |
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] ; 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] |
项目资助者 | 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) |
WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000502357600006 |
出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/29454 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Grandjean, Joanes |
作者单位 | 1.Agcy Sci Technol & Res, Singapore Bioimaging Consortium, 11 Biopolis Way, Singapore 138667, Singapore 2.Ctr Neurosci & Cognit Syst UNITN, Ist Italian Tecnol, Funct Neuroimaging Lab, I-38068 Rovereto, Italy 3.Univ Trento, Ctr Mind Brain Sci, CIMeC, I-38068 Rovereto, Italy 4.Univ Antwerp, Bioimaging Lab, CDE, Univ Pl 1, B-2610 Antwerp, Belgium 5.McGill Univ, Douglas Mental Hlth Univ Inst, Montreal, PQ, Canada 6.Inst Francois Jacob, MIRCen, DRF, Commissariat & Energie Atom & Energies Alternativ, Fontenay Aux Roses, France 7.Univ Paris Sud, Univ Paris Saclay UMR 9199, CNRS, Neurodegenerat Dis Lab, Fontenay Aux Roses, France 8.Univ Zurich, Inst Biomed Engn, Wolfgang Pauli Str 27, CH-8093 Zurich, Switzerland 9.Swiss Fed Inst Technol, Wolfgang Pauli Str 27, CH-8093 Zurich, Switzerland 10.Heidelberg Univ, Med Fac Mannheim, Cent Inst Mental Hlth, Dept Neuroimaging, Mannheim, Germany 11.Univ Freiburg, Fac Med, Med Ctr, Dept Radiol Med Phys, Killianstr 5a, D-79106 Freiburg, Germany 12.Univ Strasbourg, Dept Biophys & Nucl Med, Engn Sci Comp Sci & Imaging Lab ICube, F-67000 Strasbourg, France 13.Univ Hosp Strasbourg, F-67000 Strasbourg, France 14.CIEA, 3-25-12 Tonomachi, Kawasaki, Kanagawa 2100821, Japan 15.Keio Univ, Sch Med, Dept Physiol, Shinjuku Ku, 35 Shinanomachi, Tokyo 1608582, Japan 16.Friedrich Alexander Univ Erlangen Nurnberg FAU, Inst Expt & Clin Pharmacol & Toxicol, Fahrstr 17, D-91054 Erlangen, Germany 17.Univ Manchester, Fac Life Sci, Manchester, Lancs, England 18.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 19.Katholieke Univ Leuven, Lab Res Neurodegenerat Dis, VIB Ctr Brain & Dis Res, O&N4 Herestr 49 Box 602, B-3000 Leuven, Belgium 20.Keio Univ, Dept Neuropsychiat, Sch Med, Shinjuku Ku, 35 Shinanomachi, Tokyo 1608582, Japan 21.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia 22.UCL, Ctr Med Image Comp, Dept Comp Sci, London, England 23.UCL, Max Planck Univ Coll London Ctr Computat Psychiat, London, England 24.Univ Toronto, Hosp Sick Children, Toronto, ON, Canada 25.Univ Toronto, Dept Med Biophys, Toronto, ON, Canada 26.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China 27.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 28.Heidelberg Univ, Med Fac Mannheim, Cent Inst Mental Hlth, Dept Psychiat & Psychotherapy, Heidelberg, Germany 29.RIKEN, Brain Sci Inst, Lab Marmoset Neural Architecture, Wako, Saitama 3510198, Japan 30.Univ Zurich, Dept Hlth Sci & Technol, Neural Control Movement Lab, Winterthurerstr 190, CH-8057 Zurich, Switzerland 31.Univ Zurich, Inst Pharmacol & Toxicol, Winterthurerstr 190, CH-8057 Zurich, Switzerland 32.Univ Freiburg, BrainLinks BrainTools Cluster Excellence, Georges Kohler Allee 80, D-79110 Freiburg, Germany 33.Univ Oxford, Wellcome Ctr Integrat Neuroimaging, Oxford OX3 9DU, England 34.Imperial Coll London, Dept Med, Div Brain Sci, Computat Cognit & Clin Imaging Lab, London W12 0NN, England 35.Imperial Coll London, UK DRI Ctr Care Res & Technol, London W12 0NN, England 36.Swiss Fed Inst Technol, Neurosci Ctr Zurich, Zurich, Switzerland 37.Univ Zurich, Zurich, Switzerland 38.McGill Univ, Dept Psychiat, Montreal, PQ, Canada 39.McGill Univ, Dept Biol & Biomed Engn, Montreal, PQ, Canada |
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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