Wiki source code of TVB PIPELINE
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30.1 | 5 | = TVB Image Processing Pipeline With MINDS annotated Outputs = |
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1.1 | 6 | |
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18.1 | 7 | == [[Pipeline Video Tutorial>>https://drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view||rel="noopener noreferrer" target="_blank"]] == |
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12.1 | 8 | |
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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"]] == |
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16.1 | 10 | |
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18.1 | 11 | [[image:8677353.png||style="float:left"]] |
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32.1 | 13 | |
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1.1 | 14 | ))) |
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33.1 | 21 | == Quick links == |
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| 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/]] | ||
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8.1 | 28 | == What can I find here? == |
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1.1 | 29 | |
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7.1 | 30 | * an IPython notebook that describes how to |
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25.1 | 31 | ** use the TVB processing pipeline on one of the associated supercomputers using PyUnicore |
| 32 | ** upload MRI data to the supercomputer | ||
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7.1 | 33 | ** set up and run the pipeline |
| 34 | ** download processing results | ||
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8.1 | 35 | |
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25.1 | 36 | == What does the TVB processing pipeline do? == |
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| 38 | After uploading MRI data to the supercomputer, the pipeline runs the three containers | ||
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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"]] | ||
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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. | ||
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8.1 | 46 | == How do I use it? == |
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| 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" | ||
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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]] |
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8.1 | 52 | * To use the notebook, download it onto your local filesystem, create a new Collab and upload it there. |
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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. |
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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'" |
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19.1 | 55 | |
| 56 | == Metadata == | ||
| 57 | |||
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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 | ))) | ||
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20.1 | 95 | |
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24.1 | 96 | === === |
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23.1 | 97 | |
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21.1 | 98 | == Publications on TVB/brain model preprocessing == |
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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]] | ||
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26.1 | 102 | |
| 103 | == Citing this work == | ||
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| 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). | ||
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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]] |
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26.1 | 110 | |
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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. |
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28.1 | 113 | |
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26.1 | 115 | Smith, R., & Connelly, A. (2019). MRtrix3_connectome: A BIDS Application for quantitative structural connectome construction. //OHBM//, W610. |
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| 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 | ||
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26.1 | 121 | == == |
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| 125 | {{box title="**Contents**"}} | ||
| 126 | {{toc/}} | ||
| 127 | {{/box}} | ||
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