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Changes for page TVB PIPELINE

Last modified by ldomide on 2024/05/20 08:56
From version 23.1
edited by michaels
on 2020/05/06 15:09
Change comment: There is no comment for this version
To version 27.1
edited by michaels
on 2020/06/12 10:43
Change comment: There is no comment for this version

Summary

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Content
... ... @@ -38,11 +38,21 @@
38 38  == What can I find here? ==
39 39  
40 40  * an IPython notebook that describes how to
41 -** use the TVB pipeline on one of the associated supercomputers using PyUnicore
42 -** upload model data to the supercomputer
41 +** use the TVB processing pipeline on one of the associated supercomputers using PyUnicore
42 +** upload MRI data to the supercomputer
43 43  ** set up and run the pipeline
44 44  ** download processing results
45 45  
46 +== What does the TVB processing pipeline do? ==
47 +
48 +After uploading MRI data to the supercomputer, the pipeline runs the three containers
49 +
50 +* [[bids/mrtrix3_connectome>>https://hub.docker.com/r/bids/mrtrix3_connectome||rel="noopener noreferrer" target="_blank"]]
51 +* [[poldracklab/fmriprep>>https://hub.docker.com/r/poldracklab/fmriprep||rel="noopener noreferrer" target="_blank"]], and
52 +* [[thevirtualbrain/tvb_converter>>https://hub.docker.com/r/thevirtualbrain/tvb_converter||rel="noopener noreferrer" target="_blank"]]
53 +
54 +The TVB Processing Pipeline takes multimodal MRI data sets (anatomical, functional and diffusion-weighted MRI) as input and generates SCs, region-average fMRI time series, FCs, brain surfaces, electrode positions, lead field matrices, and atlas parcellations as output. The pipeline performs preprocessing and distortion-correction on MRI data as well as white matter fiber bundle tractography on diffusion data. Outputs are formatted according to two data standards: a TVB-ready data set that can be directly used to simulate brain network models and the same output in BIDS format.
55 +
46 46  == How do I use it? ==
47 47  
48 48  * the pipeline is implemented by three Docker containers (mrtrix3_connectome, fmriprep and tvb_converter)
... ... @@ -93,14 +93,29 @@
93 93  * 1.0
94 94  )))
95 95  
96 -=== Activities ===
106 +=== ===
97 97  
98 98  == Publications on TVB/brain model preprocessing ==
99 99  
100 100  * [[https:~~/~~/www.ncbi.nlm.nih.gov/pubmed/25837600>>url:https://www.ncbi.nlm.nih.gov/pubmed/25837600]]
101 101  * [[https:~~/~~/www.ncbi.nlm.nih.gov/pubmed/27480624>>url:https://www.ncbi.nlm.nih.gov/pubmed/27480624]]
112 +
113 +== Citing this work ==
114 +
115 +
116 +When using this pipeline for published work, please acknowledge MRtrix3, MRtrix3_connectome (R. Smith & Connelly, 2019; Tournier et al., 2019) and fmriprep (Esteban et al., 2019).
117 +
118 +
119 +Esteban, O., Markiewicz, C. J., Blair, R. W., Moodie, C. A., Isik, A. I., Erramuzpe, A., Kent, J. D., Goncalves, M., DuPre, E., Snyder, M., Oya, H., Ghosh, S. S., Wright, J., Durnez, J., Poldrack, R. A., & Gorgolewski, K. J. (2019). fMRIPrep: a robust preprocessing pipeline for functional MRI. //Nature Methods//. https:~/~/doi.org/10.1038/s41592-018-0235-4
120 +
121 +
122 +Smith, R., & Connelly, A. (2019). MRtrix3_connectome: A BIDS Application for quantitative structural connectome construction. //OHBM//, W610.
123 +
124 +
125 +Tournier, J. D., Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C. H., & Connelly, A. (2019). MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. In //NeuroImage//. https:~/~/doi.org/10.1016/j.neuroimage.2019.116137
102 102  )))
103 103  
128 +== ==
104 104  
105 105  (% class="col-xs-12 col-sm-4" %)
106 106  (((
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TVB PIPELINE