Skip to content

Latest commit

 

History

History
50 lines (38 loc) · 2.68 KB

readme.md

File metadata and controls

50 lines (38 loc) · 2.68 KB

Automated method for segmentation of four posterior white matter pathways

This code allows to segment the Posterior Arcuate, the Middle Longitudinal Fasciculus, the Vertical Occipital Fascicuclus and the Temporo-Parietal Connection. See Bullock et al. (2019) Brain Strcutre and Function for more details.

Authors

This project was supported by

NSF-BCS-1636893 NSF-BCS-1734853 NSF-AOC-1916518 NIH-NIMH-5T32MH103213

References

If you use this code please cite the following articles.

  • Bullock, D., Takemura, H., Caiafa, C. F., Kitchell, L., McPherson, B., Caron, B., and Pestilli, F. (2019) Associative white matter tracts in the posterior human brain with different degrees of investigative attention. Brain Structure and Function. DOI:10.1007/s00429-019-01907-8
  • Caiafa C. and Pestilli, F. (2017) Multidimensional encoding of brain connectomes. Scientific Reports. DOI: 10.1038/s41598-017-09250-w
  • Yeatman J.D., Dougherty R.F., Myall N.J., Wandell B.A., Feldman H.M. (2012). Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification. PLoS One.
  • Pestilli, F., Yeatman, J. Rokem, A., Kay, K. and Wandell, B. (2014) Evaluation and statistical inference in living connectomes. Nature Methods. DOI:10.1038/nmeth.3098.

Dependencies

Sample Datasets

Sample datasets can be downloaded from Brainlife.io using Brainlife's CLI.

npm install -g brainlife
bl login
mkdir input
bl dataset download 5a0e604116e499548135de87 && mv 5a0e604116e499548135de87 input/track
bl dataset download 5a0dcb1216e499548135dd27 && mv 5a0dcb1216e499548135dd27 input/dtiinit

Getting started

TO use this code in MatLab open the and ...

Inputs

Output

All output files will be generated under the current working directory (pwd). The main output of this code is a file called TBA.mat. This file contains following object.

fg = 

    field1: 'name'
    field2: 'name'