Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

Joanes Grandjean, Carola Canella, Cynthia Anckaerts, Gülebru Ayrancı, Salma Bougacha, Thomas Bienert, David Buehlmann, Ludovico Coletta, Daniel Gallino, Natalia Gass, Clément M. Garin, Nachiket Abhay Nadkarni, Neele S. Hübner, Meltem Karatas, Yuji Komaki, Silke Kreitz, Francesca Mandino, Anna E. Mechling, Chika Sato, Katja SauerDisha Shah, Sandra Strobelt, Norio Takata, Isabel Wank, Tong Wu, Noriaki Yahata, Ling Yun Yeow, Yohan Yee, Ichio Aoki, M. Mallar Chakravarty, Wei Tang Chang, Marc Dhenain, Dominik von Elverfeldt, Laura Adela Harsan, Andreas Hess, Tianzi Jiang, Georgios A. Keliris, Jason P. Lerch, Andreas Meyer-Lindenberg, Hideyuki Okano, Markus Rudin, Alexander Sartorius, Annemie Van der Linden, Marleen Verhoye, Wolfgang Weber-Fahr, Nicole Wenderoth, Valerio Zerbi, Alessandro Gozzi

研究成果: Article

抄録

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.

元の言語English
記事番号116278
ジャーナルNeuroImage
205
DOI
出版物ステータスPublished - 2020 1 15

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Magnetic Resonance Imaging
Brain
Medetomidine
Equipment and Supplies
Isoflurane
Rodentia
Datasets

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

これを引用

Grandjean, J., Canella, C., Anckaerts, C., Ayrancı, G., Bougacha, S., Bienert, T., ... Gozzi, A. (2020). Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis. NeuroImage, 205, [116278]. https://doi.org/10.1016/j.neuroimage.2019.116278

Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis. / Grandjean, Joanes; Canella, Carola; Anckaerts, Cynthia; Ayrancı, Gülebru; Bougacha, Salma; Bienert, Thomas; Buehlmann, David; Coletta, Ludovico; Gallino, Daniel; Gass, Natalia; Garin, Clément M.; Nadkarni, Nachiket Abhay; Hübner, Neele S.; Karatas, Meltem; Komaki, Yuji; Kreitz, Silke; Mandino, Francesca; Mechling, Anna E.; Sato, Chika; Sauer, Katja; Shah, Disha; Strobelt, Sandra; Takata, Norio; Wank, Isabel; Wu, Tong; Yahata, Noriaki; Yeow, Ling Yun; Yee, Yohan; Aoki, Ichio; Chakravarty, M. Mallar; Chang, Wei Tang; Dhenain, Marc; von Elverfeldt, Dominik; Harsan, Laura Adela; Hess, Andreas; Jiang, Tianzi; Keliris, Georgios A.; Lerch, Jason P.; Meyer-Lindenberg, Andreas; Okano, Hideyuki; Rudin, Markus; Sartorius, Alexander; Van der Linden, Annemie; Verhoye, Marleen; Weber-Fahr, Wolfgang; Wenderoth, Nicole; Zerbi, Valerio; Gozzi, Alessandro.

:: NeuroImage, 巻 205, 116278, 15.01.2020.

研究成果: Article

Grandjean, J, Canella, C, Anckaerts, C, Ayrancı, G, Bougacha, S, Bienert, T, Buehlmann, D, Coletta, L, Gallino, D, Gass, N, Garin, CM, Nadkarni, NA, Hübner, NS, Karatas, M, Komaki, Y, Kreitz, S, Mandino, F, Mechling, AE, Sato, C, Sauer, K, Shah, D, Strobelt, S, Takata, N, Wank, I, Wu, T, Yahata, N, Yeow, LY, Yee, Y, Aoki, I, Chakravarty, MM, Chang, WT, Dhenain, M, von Elverfeldt, D, Harsan, LA, Hess, A, Jiang, T, Keliris, GA, Lerch, JP, Meyer-Lindenberg, A, Okano, H, Rudin, M, Sartorius, A, Van der Linden, A, Verhoye, M, Weber-Fahr, W, Wenderoth, N, Zerbi, V & Gozzi, A 2020, 'Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis', NeuroImage, 巻. 205, 116278. https://doi.org/10.1016/j.neuroimage.2019.116278
Grandjean J, Canella C, Anckaerts C, Ayrancı G, Bougacha S, Bienert T その他. Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis. NeuroImage. 2020 1 15;205. 116278. https://doi.org/10.1016/j.neuroimage.2019.116278
Grandjean, Joanes ; Canella, Carola ; Anckaerts, Cynthia ; Ayrancı, Gülebru ; Bougacha, Salma ; Bienert, Thomas ; Buehlmann, David ; Coletta, Ludovico ; Gallino, Daniel ; Gass, Natalia ; Garin, Clément M. ; Nadkarni, Nachiket Abhay ; Hübner, Neele S. ; Karatas, Meltem ; Komaki, Yuji ; Kreitz, Silke ; Mandino, Francesca ; Mechling, Anna E. ; Sato, Chika ; Sauer, Katja ; Shah, Disha ; Strobelt, Sandra ; Takata, Norio ; Wank, Isabel ; Wu, Tong ; Yahata, Noriaki ; Yeow, Ling Yun ; Yee, Yohan ; Aoki, Ichio ; Chakravarty, M. Mallar ; Chang, Wei Tang ; Dhenain, Marc ; von Elverfeldt, Dominik ; Harsan, Laura Adela ; Hess, Andreas ; Jiang, Tianzi ; Keliris, Georgios A. ; Lerch, Jason P. ; Meyer-Lindenberg, Andreas ; Okano, Hideyuki ; Rudin, Markus ; Sartorius, Alexander ; Van der Linden, Annemie ; Verhoye, Marleen ; Weber-Fahr, Wolfgang ; Wenderoth, Nicole ; Zerbi, Valerio ; Gozzi, Alessandro. / Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis. :: NeuroImage. 2020 ; 巻 205.
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abstract = "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.",
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AU - Canella, Carola

AU - Anckaerts, Cynthia

AU - Ayrancı, Gülebru

AU - Bougacha, Salma

AU - Bienert, Thomas

AU - Buehlmann, David

AU - Coletta, Ludovico

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AU - Gass, Natalia

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AU - Komaki, Yuji

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AU - Mechling, Anna E.

AU - Sato, Chika

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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 - Meyer-Lindenberg, Andreas

AU - Okano, Hideyuki

AU - Rudin, Markus

AU - Sartorius, Alexander

AU - Van der Linden, Annemie

AU - Verhoye, Marleen

AU - Weber-Fahr, Wolfgang

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AU - Zerbi, Valerio

AU - Gozzi, Alessandro

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