Pandora White Matter Atlas

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This is a population-based collection of white matter atlases represented in both volumetric and surface coordinates in a standard space. These atlases are based on 2443 subjects, and include 216 white matter fascicles derived from 6 different state-of-the-art tractography techniques: Automated Fiber-tract Quantification, Automated Fiber-tract Quantification clipped, Recobundles, Tracula, TractSeg, and Xtract.

This work is licensed under a Creative Commons Attribution 4.0 International License.

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License:
Attribution
Domain:
MR
Other Keywords:
Atlas, White Matter

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RRID: SCR_018688

DOI:10.25790/bml0cm.63

Funding: This work was conducted in part using the resources of the Advanced Computing Center for Research and Education at Vanderbilt University, Nashville, TN. This work was supported by the National Institutes of Health under award numbers R01EB017230 (B.A.L), and T32EB001628 (K.G.S.), R21 MH099218 (W.D.T), R01NS075270 (Victoria L. Morgan) and in part by ViSE/VICTR VR3029 and the National Center for Research Resources, Grant UL1 RR024975-01, and Department of Defense award number W81XWH-17-2-055. This research was conducted with the support from the Intramural Research Program, National Institute on Aging, NIH. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. This work was also supported by the Neuroinformatics Research Chair, Compute Canada, and NSERC Discovery grants of Prof Maxime Descoteaux.

PubMed Mentions: 0

Total Downloads: 769

Registered: Jun 1, 2020

Organization: Vanderbilt University

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