Wiki source code of TVB PIPELINE

Version 26.1 by michaels on 2020/06/12 10:43

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7.1	5	= From MRI to Functional and Structural Connectivity =
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7.1	7	Neuroimaging data preprocessing pipeline
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18.1	9	== [[Pipeline Video Tutorial>>https://drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view\|\|rel="noopener noreferrer" target="_blank"]] ==
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23.1	11	== [[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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8.1	38	== What can I find here? ==
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7.1	40	* an IPython notebook that describes how to
25.1	41	** use the TVB processing pipeline on one of the associated supercomputers using PyUnicore
	42	** upload MRI data to the supercomputer
7.1	43	** set up and run the pipeline
	44	** download processing results
8.1	45
25.1	46	== What does the TVB processing pipeline do? ==
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	48	After uploading MRI data to the supercomputer, the pipeline runs the three containers
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26.1	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"]]
25.1	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.
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8.1	56	== How do I use it? ==
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	58	* the pipeline is implemented by three Docker containers (mrtrix3_connectome, fmriprep and tvb_converter)
	59	* the containers are executed on supercomputers and operated via IPython notebooks
	60	* Find the notebook by clicking on "Drive" in the left menu. The notebook is located in the folder "notebooks"
10.1	61	* 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	62	* To use the notebook, download it onto your local filesystem, create a new Collab and upload it there.
10.1	63	* 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	64	* 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	65
	66	== Metadata ==
	67
23.1	68	\|=Category\|tool
	69	\|=Tags\|(((
	70	* [[Simulaton>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	71	* [[TVB>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	72	* [[visualization>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	73	* [[open-source>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	74	* [[analysis>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	75	* [[supercomputers>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	76	* [[brain-model>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	77	* [[neuroinformatics>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	78	* [[image-segmentation>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	79	* [[simulation>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	80	* [[The-Virtual-Brain>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	81	)))
	82	\|=Partners\|(((
	83	* Charité Universitätsmedizin Berlin [[CHARITE>>url:https://services.humanbrainproject.eu/software-catalog/catalog/?ctx=97d59245-adce-42c4-8b50-d22587071fcd&ctxstate=search%2Ctvb]]
	84	)))
	85	\|=Maintainers\|(((
	86	* [[Petra Ritter>>path:mailto:petra.ritter@charite.de]]
	87	* [[Michael Schirner>>path:mailto:michael.schirner@charite.de]]
	88	* [[Paul Triebkorn>>path:mailto:jan-paul.triebkorn@charite.de]]
	89	)))
	90	\|=Contributors\|(((
	91	* [[Petra Ritter>>path:mailto:petra.ritter@charite.de]]
	92	* [[Michael Schirner>>path:mailto:michael.schirner@charite.de]]
	93	* [[Paul Triebkorn>>path:mailto:jan-paul.triebkorn@charite.de]]
	94	)))
	95	\|=Homepage\|[[https:~~/~~/www.brainsimulation.org>>url:https://www.brainsimulation.org/]]
	96	\|=Documentation\|[[https:~~/~~/drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view>>url:https://drive.google.com/file/d/1VcXf3GX3KoihF4UzJQXzuGL4XWoqj5Jr/view]]
	97	\|=Support\|[[petra.ritter@charite.de>>path:mailto:petra.ritter@charite.de]]
	98	\|=Source Code\|[[https:~~/~~/hub.docker.com/r/thevirtualbrain/tvb_converter>>url:https://hub.docker.com/r/thevirtualbrain/tvb_converter]]
	99	\|=Download Page\|[[https:~~/~~/hub.docker.com/r/thevirtualbrain/tvb_converter>>url:https://hub.docker.com/r/thevirtualbrain/tvb_converter]]
	100	\|=License\|GPLv3
	101	\|=Current Version\|1.0
	102	\|=All Versions\|(((
	103	* 1.0
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20.1	105
24.1	106	=== ===
23.1	107
21.1	108	== Publications on TVB/brain model preprocessing ==
20.1	109
	110	* [[https:~~/~~/www.ncbi.nlm.nih.gov/pubmed/25837600>>url:https://www.ncbi.nlm.nih.gov/pubmed/25837600]]
	111	* [[https:~~/~~/www.ncbi.nlm.nih.gov/pubmed/27480624>>url:https://www.ncbi.nlm.nih.gov/pubmed/27480624]]
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	113
	114	== Citing this work ==
	115
	116
	117	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).
	118
	119
	120	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
	121
	122
	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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	133	{{box title="Contents"}}
	134	{{toc/}}
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