LiFE Demo Data
Abstract/Contents
- Abstract
The file in this repository contains demo data for the LiFE software package: http://francopestilli.github.io/life/
The data set can be used in combination with the function life_demo.m: http://francopestilli.github.io/life/doc/scripts/life_demo.html
The file contains:
(1) Diffusion imaging data acquired at the Center for Neurobiological Imaging Stanford University.
(2) High-resolution anatomical T1w MRI images of the same brain coregistered to the diffusion data.
(3) Three connectomes generated using the same diffusion data in (1) and the tractogrpahy toolbox MRtrix (http://www.brain.org.au/software/mrtrix/). The three connectomes are created using different tractography algorithms. Two connectomes were generated using constrined-spherical deconvolution (CSD) models and either probabilistic or deterministic tractography. The third connectome was generated using a tensor model and deterministic tractography.
Description
Type of resource | software, multimedia |
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Date created | July 2, 2014 |
Creators/Contributors
Author | Pestilli, Franco | |
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Contributing author | Rokem, Ariel | |
Contributing author | Yeatman, Jason | |
Contributing author | Kay, Kendrick | |
Contributing author | Wandell, Brian |
Subjects
Subject | diffusion imaging |
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Subject | MRI |
Subject | magentic resonance imaging |
Subject | tractography |
Subject | connectome |
Subject | life |
Subject | regression |
Subject | least-square |
Subject | non-negative least square |
Subject | forward modelling |
Subject | human brain |
Subject | neuroscience |
Subject | white matter |
Genre | Dataset |
Bibliographic information
Related Publication | Pestilli F., Yeatman J.D., Rokem A., Kay K.N., Wandell B.A. 2014. Evaluation and statistical inference for human connectomes. Nature Methods. 11(10):1058-1063. http://dx.doi.org/10.1038/nmeth.3098 |
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Related item |
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Location | https://purl.stanford.edu/cs392kv3054 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under an Open Data Commons Attribution License v1.0.
Preferred citation
- Preferred Citation
- Pestilli, F., Rokem, A., Yeatman, J., Kay, K., Wandell, B. (2014). LiFE Demo Data. Stanford Digital Repository. Available at: http://purl.stanford.edu/cs392kv3054
Collection
Contact information
- Contact
- pestillifranco@gmail.com
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