ins-amu/scripts
Fork: 12 Star: 21 (更新于 2024-10-26 13:06:39)
license: MIT
Language: C++ .
prepare data for TVB
最后发布版本: v0.4-CH ( 2020-12-08 04:20:13)
Surface and Connectivity Reconstruction: Imaging Pipeline for TVB Simulations
SCRIPTS 0.4.1
Please see the wiki
New in 0.4.1:
- Remove need for Matlab
- new subparcellation scheme where arbitrary number of subregions can be chosen
New in 0.4:
- Dockerfile for easy installation with Docker.
- Tests.
- Reorganization and simplification of the code => compatibility with tvb-make.
- 2 new parcellations: Destrieux, and HCP-MMP1
Features
- prepare data for TVB: surface reconstruction, region mapping, connectome.
- mrtrix 3.0 RC3: SIFT/SIFT2, ACT, 3 types of registration structural/diffusion, denoising, topup/eddy corrections, bias field corrections, mask upsampling and dilatation, multi-shell multi-tissue, dhollander algo, fsl subcortical structure parcellation, tractogram and tdi generation, multi-threaded.
- automatic config checks.
- convenience script for HCP datasets.
- handle automatically reverse phase-encoding DWI in most cases.
- subparcellation in any number of regions along with corresponding region mapping.
- MNE forward model.
- python 3.5.
License
This poject use the MIT License. The full license is in LICENSE.txt in the SCRIPTS distribution.
Copyright (c) [2014] [The SCRIPTS Developers]
How to cite
When citing SCRIPTS, please cite this work:
Proix T, Spiegler A, Schirner M, Rothmeier S, Ritter P, Jirsa, VK. How do parcellation size and short-range connectivity affect dynamics in large-scale brain network models? NeuroImage, 2016, 142:135-149
最近版本更新:(数据更新于 2024-10-24 22:55:38)
2020-12-08 04:20:13 v0.4-CH
2019-09-19 20:59:09 v0.4.1
2019-09-19 20:58:13 v0.4
2017-09-18 09:53:34 v0.3
2017-08-28 08:23:55 v0.3_RC1
2015-11-20 19:43:15 v0.2
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