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 indiv...

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Detalles Bibliográficos
Autores principales: Seider, Nicole A., Adeyemo, Babatunde, Miller, Ryland, Newbold, Dillan J., Hampton, Jacqueline M., Scheidter, Kristen M., Rutlin, Jerrel, Laumann, Timothy O., Roland, Jarod L., Montez, David F., Van, Andrew N., Zheng, Annie, Marek, Scott, Kay, Benjamin P., Bretthorst, G. Larry, Schlaggar, Bradley L., Greene, Deanna J., Wang, Yong, Petersen, Steven E., Barch, Deanna M., Gordon, Evan M., Snyder, Abraham Z., Shimony, Joshua S., Dosenbach, Nico U.F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841915/
https://www.ncbi.nlm.nih.gov/pubmed/35339687
http://dx.doi.org/10.1016/j.neuroimage.2022.119138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841915/
https://www.ncbi.nlm.nih.gov/pubmed/35339687
http://dx.doi.org/10.1016/j.neuroimage.2022.119138

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