Accuracy and reliability of diffusion imaging models

Accuracy and reliability of diffusion imaging models

Diffusion imaging aims to non-invasively characterize the anatomy and integrity of the brain's white matter fibers. We evaluated the accuracy and reliability of commonly used diffusion imaging methods as a function of data quantity and analysis method, using both simulations and highly sampled...

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Bibliographic Details
Main Authors: Nicole A. Seider, Babatunde Adeyemo, Ryland Miller, Dillan J. Newbold, Jacqueline M. Hampton, Kristen M. Scheidter, Jerrel Rutlin, Timothy O. Laumann, Jarod L. Roland, David F. Montez, Andrew N. Van, Annie Zheng, Scott Marek, Benjamin P. Kay, G. Larry Bretthorst, Bradley L. Schlaggar, Deanna J. Greene, Yong Wang, Steven E. Petersen, Deanna M. Barch, Evan M. Gordon, Abraham Z. Snyder, Joshua S. Shimony, Nico U.F. Dosenbach
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S105381192200266X

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http://www.sciencedirect.com/science/article/pii/S105381192200266X

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