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

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

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...

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Bibliographic Details
Main Authors: 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 Sauer, Disha 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
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:NeuroImage
Subjects:
Functional connectivity
Default-mode network
ICA
Seed-based
Connectome
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919308699

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