University of Oxford WIN Macaque PM
The University of Oxford WIN macapaue PM dataset includes post-mortem diffusion data from a 7T scanner on six macaques.
Usage Agreement
Creative Commons – Attribution-NonCommercial Share Alike (CC-BY-NC-SA)- Standard INDI data sharing policy. Prohibits use of the data for commercial purposes.
Scanner Specifications
- Scanner type: 7T whole body scanner
- Coil: 72mm ID quadrature birdcage RF coil (Rapid Biomedical GmbH, Rimpar, Germany)
Species
Macaca mulatta
Sample Description
- Sample size: 6
- Age distribution: 4.03-15.81 years (mean 9.98, std 4.64)
- Sex distribution: n=4 male, n=2 female
Click here for the full sample description (.csv)
Scan Procedures and Parameters
Protocol information: Diffusion-weighted imaging was done on a 7T superconductive magnet driven by an Agilent DirectDrive console (Agilent Technologies, Santa Clara, CA, USA) using 72mm ID quadrature birdcage RF coil (Rapid Biomedical GmbH, Rimpar, Germany). 2D diffusion-weighted images were acquired by a spin-echo single line readout protocol (DW-SEMS, TE/TR: 25 ms/10 s; matrix size: 128 × 128; resolution: 0.6 x 0.6 mm; number of slices: 128; slice thickness: 0.6 mm). Each DTI data set consisted of 16 non-diffusion-weighted (b = 0 s/mm2) and 128 diffusion-weighted (b = 4000 s/mm2) volumes with diffusion directions homogeneously distributed over the sphere.
Procedure: The brains were soaked in PBS before scanning and placed in fomblin or fluorinert during the scan. Diffusion-weighted images were processed using FMRIB's Diffusion Toolbox.
Scan sequences
- Diffusion-weighted:
- 2D images captured using spin-echo single line readout protocol
- Matrix size: 128 x 128
- Resolution: 0.6mm x 0.6mm
- TE: 25ms
- TR: 10000ms
- Number of slices: 128
- Slice thickness: 0.6mm
Publications
- Folloni et al., in press, eLife
- Warrington et al., in preparation
Personnel
- Rogier B. Mars
- Jerome Sallet
Acknowledgements
Alexandre A. Khrapitchev, Davide Folloni
Funding
BBSRC David Phillips Fellowship [BB/N019841/1]; Wellcome/Royal Society Henry Dale Fellowship [105651/Z/14/Z]; Wellcome Trust WIN core funding [203139/Z/16/Z]
Downloads
Click here to download the encrypted data. Users will first be prompted to log on to NITRC and will need to register with the 1000 Functional Connectomes Project website on NITRC to gain access to the PRIME-DE datasets.