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ins-amu/scripts

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license: MIT

Language: C++ .

prepare data for TVB

最后发布版本: v0.4-CH ( 2020-12-08 04:20:13)

GitHub网址

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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