Demo Data for Multidimensional Encoding of Brain Connectomes

Simple item page
dc.contributor.authorPestilli, Franco
dc.contributor.authorCaiafa, Cesar F
dc.date.accessioned2016-09-15T16:21:10Z
dc.date.available2016-09-15T16:21:10Z
dc.date.issued2016-09
dc.description.abstractThis data set contains derivatives files (MatLab objects) generated using the encode toolbox (github.com/brain-life/encode). Files are meant to be used in combination with demo files at https://github.com/brain-life/encode/tree/toshare_sub01/scripts/demos to show how to encode a brain connectome estimated using diffusion-weighted magnetic resonance imaging technology and fiber tractography into a multidimensional array (tensor).
dc.description.sponsorshipNSF IIS 1636893, NIH ULTTR001108
dc.identifier.doihttps://doi.org/10.5967/K8SF2T3M
dc.identifier.urihttps://hdl.handle.net/2022/20995
dc.language.isoen_US
dc.relation.isversionofhttps://datacore.iu.edu/concern/data_sets/3x816n84x
dc.rightsYou are free to share under the following terms: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectNeuroscience
dc.subjectWhite matter
dc.subjectdiffusion imaging
dc.subjectMagnetic resonance imaging
dc.subjectTractography
dc.subjectBrain
dc.titleDemo Data for Multidimensional Encoding of Brain Connectomes
dc.typeDataset

Files

Collections

Neuroimaging
Can’t use the file because of accessibility barriers? Contact us