Atlas_30_Bundles.zip (207.09 MB)
Atlas of 30 Human Brain Bundles in MNI space
Version 5 2021-03-16, 18:59
Version 4 2021-03-16, 18:36
Version 3 2021-03-16, 17:58
Version 2 2020-04-07, 02:16
Version 1 2020-04-07, 02:11
dataset
posted on 2021-03-16, 18:59 authored by Eleftherios GaryfallidisEleftherios GaryfallidisThis is a dataset to be used by the RecoBundles algorithm to automatically extract anatomically relevant bundles from tractograms. RecoBundles is available in DIPY (http://dipy.org). The algorithm is explained in the paper:
Garyfallidis, Eleftherios, et al. "Recognition of white matter bundles using local and global streamline-based registration and clustering." NeuroImage 170 (2017): 283-297.
https://www.ncbi.nlm.nih.gov/pubmed/28712994
This dataset is curated from the dataset explained in the following paper:
Yeh, Fang-Cheng, et al. "Population-averaged atlas of the macroscale human structural connectome and its network topology." NeuroImage 178 (2018): 57-68.
https://www.sciencedirect.com/science/article/pii/S1053811918304324
All the bundles and trk (Trackvis) files are in MNI space ICBM 2009a.
Do contact the DIPY developers at https://gitter.im/nipy/dipy if you need the bundles at ICBM 2009c space.
For the Fornix (F) both left and right sides are included in one file. It is possible to easily separate them if you need to. Send an e-mail to dipy@python.org to learn how.
If you use this dataset please cite Garyfallidis et al. 2017 and Yeh et al. 2018 (see above).
Research reported in this publication was supported primarily by the National Institute Of Biomedical Imaging And Bioengineering of the National Institutes of Health under Award Number R01EB027585.
Happy RecoBundling!
