Open Diffusion Data and Derivatives (O3D) is an online repository of data to support the analysis of brain connectivity.
You can download a rich dataset composed of dMRI obtained from healthy, cognitively normal human individuals and derivatives in a BIDS-standard data structure for further analysis.
You can reproduce, or generate your own O3D data derivatives through O3D online pipeline by uploading your data to our online workflow submission system.
Ddata collected in four subjects (age 37-39) at the Stanford Center for Cognitive and Neurobiological Imaging with a 3T General Electric Discovery 750 (General Electric Healthcare), using a 32-channel head coil (Nova Medical).
Data collected in four subjects at the University of Washington St. Louis as part of the Human Connectome Project, with the Siemens 3T "Connectome."
Data collected in four subjects part of the Human Connectome 7-Tesla (7T) dataset were used. Data were collected the University of Minnesota Siemens 7T scanner.
White matter fascicles tracking was performed using MRtrix 0.2.12. White- and gray-matter tissues were segmented using the T1-weighted MRI images associated to each individual brain, and then resampled at the resolution of the dMRI data. Only voxels identified primarily as white-matter tissue were used to perform tracking.
We used the LiFE (Linear Fascicle Evaluation) method to optimize each fascicle group generated with tractography. The LiFE method identifies fascicles that successfully contribute to predicting the measured dMRI signal. It has been shown that only a small percentage of the total number of fascicles generated through a single tractography method is supported by the properties of given data set. Because of this we removed all fascicles making no significant contribution to explaining the diffusion measurements. The number of streamlines retained in these optimized fascicles groups ranged about 80,000 (STN96) to 160,000 (HCP90). Only fascicles groups processed using LiFE were used for all subsequent analyses.
Whole brain fascicles groups comprising only the tracts successfully contributing to predicting the measured dMRI signal as evaluated using LiFE were segmented to generated following major human white matter fascicle.