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; M. Garin, Clément; A. Nadkarni, Nachiket; S. Hübner, Neele; Karatas, Meltem; Komaki, Yuji; Kreitz, Silke; Mandino, Francesca; E. Mechling, Anna; Sato, Chika; Sauer, Katja; Shah, Disha; Strobelt, Sandra; Takata, Norio; Wank, Isabel; Wu, Tong; Yahata, Noriaki; Yun Yeow, Ling; Yee, Yohan; Aoki, Ichio; Mallar Chakravarty, M.; Chang, Wei‐Tang; Dhénain, Marc; von Elverfeldt, Dominik; Harsan, Laura; Heß, Andreas; Jiang, Tianzi; A. Keliris, Georgios; P. Lerch, Jason; Meyer‐Lindenberg, Andreas; Okano, Hideyuki; Rudin, Markus; Sartorius, Alexander; Van der Linden, Annemie; Verhoye, Marleen; Weber‐Fahr, Wolfgang; Wenderoth, Nicole; Zerbi, Valerio; Gozzi, Alessandro

doi:10.1016/j.neuroimage.2019.116278

Public

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

Published in NeuroImage • Oct 12, 2019

Authors:

Joanes Grandjean

Carola Canella

Cynthia Anckaerts

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 ...

Subject

Resting state fMRI

Default mode network

Computer science

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