Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference

Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference

Abstract Diffusion-weighted magnetic resonance imaging (dMRI) allows non-invasive investigation of whole-brain connectivity, which can reveal the brain’s global network architecture and also abnormalities involved in neurological and mental disorders. However, the reliability of connection inference...

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Bibliographic Details
Main Authors: Carlos Enrique Gutierrez, Henrik Skibbe, Ken Nakae, Hiromichi Tsukada, Jean Lienard, Akiya Watakabe, Junichi Hata, Marco Reisert, Alexander Woodward, Yoko Yamaguchi, Tetsuo Yamamori, Hideyuki Okano, Shin Ishii, Kenji Doya
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-78284-4

Internet

https://doi.org/10.1038/s41598-020-78284-4

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