Advanced Atlas of 80 Bundles in MNI space

This 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:<br><br>Garyfallidis, Eleftherios, et al. "Recognition of white matter bundles using local and global streamline-based registration and clustering." NeuroImage 170 (2017): 283-297.<br>https://www.ncbi.nlm.nih.gov/pubmed/28712994<br>This dataset is curated from the dataset explained in the following paper:<br>Yeh, Fang-Cheng, et al. "Population-averaged atlas of the macroscale human structural connectome and its network topology." NeuroImage 178 (2018): 57-68.<br>https://www.sciencedirect.com/science/article/pii/S1053811918304324<br>All the bundles and trk (Trackvis) files are in MNI space ICBM 2009a.<br>Do contact the DIPY developers at https://gitter.im/nipy/dipy if you need the bundles at ICBM 2009c space.<br>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 [e-mail] to learn how.<br>If you use this dataset please cite Garyfallidis et al. 2017 and Yeh et al. 2018 (see above).<br>Happy RecoBundling!<br>