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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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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18.1 | 12 | [[image:8677353.png||style="float:left"]] |
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8.1 | 36 | == What can I find here? == |
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1.1 | 37 | |
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7.1 | 38 | * an IPython notebook that describes how to |
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25.1 | 39 | ** use the TVB processing pipeline on one of the associated supercomputers using PyUnicore |
40 | ** upload MRI data to the supercomputer | ||
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7.1 | 41 | ** set up and run the pipeline |
42 | ** download processing results | ||
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8.1 | 43 | |
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25.1 | 44 | == What does the TVB processing pipeline do? == |
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46 | After uploading MRI data to the supercomputer, the pipeline runs the three containers | ||
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26.1 | 48 | * [[bids/mrtrix3_connectome>>https://hub.docker.com/r/bids/mrtrix3_connectome||rel="noopener noreferrer" target="_blank"]] |
49 | * [[poldracklab/fmriprep>>https://hub.docker.com/r/poldracklab/fmriprep||rel="noopener noreferrer" target="_blank"]], and | ||
50 | * [[thevirtualbrain/tvb_converter>>https://hub.docker.com/r/thevirtualbrain/tvb_converter||rel="noopener noreferrer" target="_blank"]] | ||
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25.1 | 51 | |
52 | 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 | 54 | == How do I use it? == |
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56 | * the pipeline is implemented by three Docker containers (mrtrix3_connectome, fmriprep and tvb_converter) | ||
57 | * the containers are executed on supercomputers and operated via IPython notebooks | ||
58 | * 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 | 59 | * 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 | 60 | * To use the notebook, download it onto your local filesystem, create a new Collab and upload it there. |
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10.1 | 61 | * 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 | 62 | * 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 | 63 | |
64 | == Metadata == | ||
65 | |||
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23.1 | 66 | |=Category|tool |
67 | |=Tags|((( | ||
68 | * [[Simulaton>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
69 | * [[TVB>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
70 | * [[visualization>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
71 | * [[open-source>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
72 | * [[analysis>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
73 | * [[supercomputers>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
74 | * [[brain-model>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
75 | * [[neuroinformatics>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
76 | * [[image-segmentation>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
77 | * [[simulation>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
78 | * [[The-Virtual-Brain>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
79 | ))) | ||
80 | |=Partners|((( | ||
81 | * Charité Universitätsmedizin Berlin [[CHARITE>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]] | ||
82 | ))) | ||
83 | |=Maintainers|((( | ||
84 | * [[Petra Ritter>>path:mailto:petra.ritter@charite.de]] | ||
85 | * [[Michael Schirner>>path:mailto:michael.schirner@charite.de]] | ||
86 | * [[Paul Triebkorn>>path:mailto:jan-paul.triebkorn@charite.de]] | ||
87 | ))) | ||
88 | |=Contributors|((( | ||
89 | * [[Petra Ritter>>path:mailto:petra.ritter@charite.de]] | ||
90 | * [[Michael Schirner>>path:mailto:michael.schirner@charite.de]] | ||
91 | * [[Paul Triebkorn>>path:mailto:jan-paul.triebkorn@charite.de]] | ||
92 | ))) | ||
93 | |=Homepage|[[https:~~/~~/www.brainsimulation.org>>url:https://www.brainsimulation.org/]] | ||
94 | |=Documentation|[[https:~~/~~/drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view>>url:https://drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view]] | ||
95 | |=Support|[[petra.ritter@charite.de>>path:mailto:petra.ritter@charite.de]] | ||
96 | |=Source Code|[[https:~~/~~/hub.docker.com/r/thevirtualbrain/tvb_converter>>url:https://hub.docker.com/r/thevirtualbrain/tvb_converter]] | ||
97 | |=Download Page|[[https:~~/~~/hub.docker.com/r/thevirtualbrain/tvb_converter>>url:https://hub.docker.com/r/thevirtualbrain/tvb_converter]] | ||
98 | |=License|GPLv3 | ||
99 | |=Current Version|1.0 | ||
100 | |=All Versions|((( | ||
101 | * 1.0 | ||
102 | ))) | ||
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20.1 | 103 | |
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24.1 | 104 | === === |
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23.1 | 105 | |
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21.1 | 106 | == Publications on TVB/brain model preprocessing == |
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20.1 | 107 | |
108 | * [[https:~~/~~/www.ncbi.nlm.nih.gov/pubmed/25837600>>url:https://www.ncbi.nlm.nih.gov/pubmed/25837600]] | ||
109 | * [[https:~~/~~/www.ncbi.nlm.nih.gov/pubmed/27480624>>url:https://www.ncbi.nlm.nih.gov/pubmed/27480624]] | ||
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26.1 | 110 | |
111 | == Citing this work == | ||
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114 | 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 | 117 | 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 | 118 | |
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29.1 | 120 | 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 | 121 | |
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26.1 | 123 | Smith, R., & Connelly, A. (2019). MRtrix3_connectome: A BIDS Application for quantitative structural connectome construction. //OHBM//, W610. |
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126 | 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 | 129 | == == |
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133 | {{box title="**Contents**"}} | ||
134 | {{toc/}} | ||
135 | {{/box}} | ||
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