Wiki source code of TVB PIPELINE
Hide last authors
author | version | line-number | content |
---|---|---|---|
![]() |
1.1 | 1 | (% class="jumbotron" %) |
2 | ((( | ||
3 | (% class="container" %) | ||
4 | ((( | ||
![]() |
30.1 | 5 | = TVB Image Processing Pipeline With MINDS annotated Outputs = |
![]() |
1.1 | 6 | |
![]() |
18.1 | 7 | == [[Pipeline Video Tutorial>>https://drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view||rel="noopener noreferrer" target="_blank"]] == |
![]() |
12.1 | 8 | |
![]() |
23.1 | 9 | == [[Direct link to notebook>>https://drive.ebrains.eu/#my-libs/lib/42ac27a5-981e-4cf6-8ec5-d67b0c24bf09/notebooks||rel="noopener noreferrer" target="_blank"]] == |
![]() |
16.1 | 10 | |
![]() |
18.1 | 11 | [[image:8677353.png||style="float:left"]] |
![]() |
16.1 | 12 | |
![]() |
32.1 | 13 | |
![]() |
1.1 | 14 | ))) |
15 | ))) | ||
16 | |||
17 | (% class="row" %) | ||
18 | ((( | ||
19 | (% class="col-xs-12 col-sm-8" %) | ||
20 | ((( | ||
![]() |
33.1 | 21 | == Quick links == |
22 | |||
23 | * [[TVB on EBRAINS (Short Version)>>url:https://www.youtube.com/watch?v=_G_DjRb1ams&feature=youtu.be]] | ||
24 | * [[TVB on EBRAINS (Long Version)>>url:https://www.youtube.com/watch?v=eZrh6ztGFAY&feature=youtu.be]] | ||
25 | * [[TVB on EBRAINS (Mini Videos)>>url:https://www.youtube.com/playlist?list=PLVtblERyzDeLcVv4BbW3BvmO8D-qVZxKf]] | ||
26 | * [[User Story>>url:https://wiki.ebrains.eu/bin/view/Collabs/user-story-tvb/]] | ||
27 | |||
![]() |
8.1 | 28 | == What can I find here? == |
![]() |
1.1 | 29 | |
![]() |
7.1 | 30 | * an IPython notebook that describes how to |
![]() |
25.1 | 31 | ** use the TVB processing pipeline on one of the associated supercomputers using PyUnicore |
32 | ** upload MRI data to the supercomputer | ||
![]() |
7.1 | 33 | ** set up and run the pipeline |
34 | ** download processing results | ||
![]() |
8.1 | 35 | |
![]() |
25.1 | 36 | == What does the TVB processing pipeline do? == |
37 | |||
38 | After uploading MRI data to the supercomputer, the pipeline runs the three containers | ||
39 | |||
![]() |
26.1 | 40 | * [[bids/mrtrix3_connectome>>https://hub.docker.com/r/bids/mrtrix3_connectome||rel="noopener noreferrer" target="_blank"]] |
41 | * [[poldracklab/fmriprep>>https://hub.docker.com/r/poldracklab/fmriprep||rel="noopener noreferrer" target="_blank"]], and | ||
42 | * [[thevirtualbrain/tvb_converter>>https://hub.docker.com/r/thevirtualbrain/tvb_converter||rel="noopener noreferrer" target="_blank"]] | ||
![]() |
25.1 | 43 | |
44 | 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. | ||
45 | |||
![]() |
8.1 | 46 | == How do I use it? == |
47 | |||
48 | * the pipeline is implemented by three Docker containers (mrtrix3_connectome, fmriprep and tvb_converter) | ||
49 | * the containers are executed on supercomputers and operated via IPython notebooks | ||
50 | * Find the notebook by clicking on "Drive" in the left menu. The notebook is located in the folder "notebooks" | ||
![]() |
10.1 | 51 | * Direct link to notebook: [[https:~~/~~/drive.ebrains.eu/#my-libs/lib/42ac27a5-981e-4cf6-8ec5-d67b0c24bf09/notebooks>>url:https://drive.ebrains.eu/#my-libs/lib/42ac27a5-981e-4cf6-8ec5-d67b0c24bf09/notebooks]] |
![]() |
8.1 | 52 | * To use the notebook, download it onto your local filesystem, create a new Collab and upload it there. |
![]() |
10.1 | 53 | * Then, head over to [[https:~~/~~/lab.ebrains.eu/>>url:https://lab.ebrains.eu/||rel="noopener noreferrer" target="_blank"]] to edit and run your notebook. |
![]() |
8.1 | 54 | * Depending on whether you created a public or a private notebook it will be accessible in either "drive/Shared with all" or "drive/Shared with groups'" |
![]() |
19.1 | 55 | |
56 | == Metadata == | ||
57 | |||
![]() |
23.1 | 58 | |=Category|tool |
59 | |=Tags|((( | ||
60 | * [[Simulaton>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
61 | * [[TVB>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
62 | * [[visualization>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
63 | * [[open-source>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
64 | * [[analysis>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
65 | * [[supercomputers>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
66 | * [[brain-model>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
67 | * [[neuroinformatics>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
68 | * [[image-segmentation>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
69 | * [[simulation>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
70 | * [[The-Virtual-Brain>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
71 | ))) | ||
72 | |=Partners|((( | ||
73 | * Charité Universitätsmedizin Berlin [[CHARITE>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
74 | ))) | ||
75 | |=Maintainers|((( | ||
76 | * [[Petra Ritter>>path:mailto:petra.ritter@charite.de]] | ||
77 | * [[Michael Schirner>>path:mailto:michael.schirner@charite.de]] | ||
78 | * [[Paul Triebkorn>>path:mailto:jan-paul.triebkorn@charite.de]] | ||
79 | ))) | ||
80 | |=Contributors|((( | ||
81 | * [[Petra Ritter>>path:mailto:petra.ritter@charite.de]] | ||
82 | * [[Michael Schirner>>path:mailto:michael.schirner@charite.de]] | ||
83 | * [[Paul Triebkorn>>path:mailto:jan-paul.triebkorn@charite.de]] | ||
84 | ))) | ||
85 | |=Homepage|[[https:~~/~~/www.brainsimulation.org>>url:https://www.brainsimulation.org/]] | ||
86 | |=Documentation|[[https:~~/~~/drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view>>url:https://drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view]] | ||
87 | |=Support|[[petra.ritter@charite.de>>path:mailto:petra.ritter@charite.de]] | ||
88 | |=Source Code|[[https:~~/~~/hub.docker.com/r/thevirtualbrain/tvb_converter>>url:https://hub.docker.com/r/thevirtualbrain/tvb_converter]] | ||
89 | |=Download Page|[[https:~~/~~/hub.docker.com/r/thevirtualbrain/tvb_converter>>url:https://hub.docker.com/r/thevirtualbrain/tvb_converter]] | ||
90 | |=License|GPLv3 | ||
91 | |=Current Version|1.0 | ||
92 | |=All Versions|((( | ||
93 | * 1.0 | ||
94 | ))) | ||
![]() |
20.1 | 95 | |
![]() |
24.1 | 96 | === === |
![]() |
23.1 | 97 | |
![]() |
21.1 | 98 | == Publications on TVB/brain model preprocessing == |
![]() |
20.1 | 99 | |
100 | * [[https:~~/~~/www.ncbi.nlm.nih.gov/pubmed/25837600>>url:https://www.ncbi.nlm.nih.gov/pubmed/25837600]] | ||
101 | * [[https:~~/~~/www.ncbi.nlm.nih.gov/pubmed/27480624>>url:https://www.ncbi.nlm.nih.gov/pubmed/27480624]] | ||
![]() |
26.1 | 102 | |
103 | == Citing this work == | ||
104 | |||
105 | |||
106 | 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). | ||
107 | |||
108 | |||
![]() |
28.1 | 109 | 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>>https://doi.org/10.1038/s41592-018-0235-4]] |
![]() |
26.1 | 110 | |
111 | |||
![]() |
29.1 | 112 | Schirner, M., Rothmeier, S., Jirsa, V. K., McIntosh, A. R., & Ritter, P. (2015). An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data. NeuroImage, 117, 343-357. |
![]() |
28.1 | 113 | |
114 | |||
![]() |
26.1 | 115 | Smith, R., & Connelly, A. (2019). MRtrix3_connectome: A BIDS Application for quantitative structural connectome construction. //OHBM//, W610. |
116 | |||
117 | |||
118 | 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 | ||
![]() |
1.1 | 119 | ))) |
120 | |||
![]() |
26.1 | 121 | == == |
![]() |
1.1 | 122 | |
123 | (% class="col-xs-12 col-sm-4" %) | ||
124 | ((( | ||
125 | {{box title="**Contents**"}} | ||
126 | {{toc/}} | ||
127 | {{/box}} | ||
128 | |||
129 | |||
130 | ))) | ||
131 | ))) |