Comments (4)
Brain connectomes (Projectomes) are large-scale mappings between regions of the brain to estimate their strengths of connections, created from individual dMRI brain data. M2G is a reliable and scalable tool for MR data analysis, generating summary statistics, QA, and the projectomes. This paper will use M2G to provide a large scale of projectomes generating from all the available dMRI datasets. Statistical results and conclusions will also be included.
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Hi @FangCai-fifi , can you update with more specifics about what will be done by sprint 1 end? And make sure these are specifics we can evaluate you on
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- Build a dataset of brain connectomes by finding all available open datasets of dMRI and running them in the m2g pipeline. (Sprint 1)
- Analysis of those brain connectomes.(Sprint2)
- Paper.(Sprint2)
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For this semester's deliverables, I have: written a data descriptor paper, created a m2g data website, a repo with analysis code and batch analysis on M2G results w/ Eric, processed and Uploaded Datasets on s3 bucket, and helped with neuroparc correction.
For details:
- Everyone: Data Descriptor Paper Draft - https://www.overleaf.com/7229861125bncdyxrwxkkb
- Fang, Hu Zhen, Xuemin, Jialin, Wilson:
Neuroparc Correction Excel Sheets: https://drive.google.com/drive/folders/1m_cxxYcHkEkJoqg4-c2wmW8FUN52Wuti?usp=sharing - Chuankai, Fang:
Website for Data: https://m2g-data-web.readthedocs.io/en/gh-pages - Zhen, Fang, Wilson, Xuemin:
Repo with analysis code and batch analysis on M2G results w/ Eric: https://github.com/NeuroDataDesign/M2G_analysis - Fang, Zhen, Jialin, Xuemin
Processed and Uploaded Datasets (on s3):
https://docs.google.com/spreadsheets/d/1Vr4uL6LZ2qtYdMztYYvf7dRJCvf14NG9x7rERJGPGaI/edit?usp=drive_web&ouid=109524036410778138686
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Related Issues (20)
- Get QA intermediate registration work again HOT 1
- QA on Tensor Estimation HOT 1
- pure python for fast HOT 2
- @wilttang is ready
- Remove ActStoppingCriteron
- Issue with CSD Model
- Write a data descriptor paper, correct neuroparc atlas labels, create analysis code for analyzing m2g results. Datasets used: https://docs.google.com/spreadsheets/d/1Vr4uL6LZ2qtYdMztYYvf7dRJCvf14NG9x7rERJGPGaI/edit?usp=drive_web&ouid=109524036410778138686 HOT 5
- Writing a paper HOT 3
- Write a paper HOT 8
- Write a Data Descriptors Paper HOT 3
- writing a paper about our connectomes dataset HOT 5
- Make m2g_bids and dwi_pipeline arguments agree with each other?
- Flesh-out parcellation finding
- Harvard Oxford Label Correspondence HOT 1
- Enhancements
- Possible steps to add to DTI pipeline HOT 2
- Migrate travis test to new domain HOT 1
- TODO for version v1.0.0
- how can find the list of parcellation we can use as input
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