Documentation and demo examples for BIDS Datasets: running FitLins with 3dREMLfit in AFNI #81
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Hackathon Project
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machine_learning
MRI
Python
Title
Documentation and demo examples for BIDS Datasets: running FitLins with 3dREMLfit in AFNI
Short description and the goals for the OHBM BrainHack
FitLins is the numerical engine developed to solve models for FMRI data analysis. 3dREMLfit is an AFNI program that fits subject-level time series data with the temporal correlations of the residuals characterized through an ARMA(1,1) structure. The output includes regression coefficients, their t- and F-statistics (plus the associated degrees of freedom). The functionality of 3dREMLfit has been incorporated into FitLins, but its usage has not been documented.
This project solicits volunteers to write documents about model specification using FitLins with 3dREMLfit and to provide demonstrative examples.
Below are some related links:
nih-fmrif/code-convergence-summaries#8
https://fitlins.readthedocs.io/en/latest/usage.html
https://afni.nimh.nih.gov/pub/dist/doc/program_help/3dREMLfit.html
Link to the Project
nih-fmrif/code-convergence-summaries#8
Image for the OHBM brainhack website
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Project lead
Gang Chen (github: afni-gangc; discord: Gang Chen#1967)
Main Hub
Glasgow
Other Hub covered by the leaders
Skills
BIDS derivatives
BIDS Stats Models
Subject-level FMRI data analysis
AFNI
Recommended tutorials for new contributors
Good first issues
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Twitter summary
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Short name for the Discord chat channel (~15 chars)
bids-fitlins-remlfit
Please read and follow the OHBM Code of Conduct
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