mandymejia/shrinkIt

Version 2.0.0.0 (10.6 KB) by Amanda Mejia
Perform shrinkage on resting state fMRI connectivity matrices for subject-level parcellation
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Updated 25 May 2017
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Perform empirical Bayes shrinkage on resting state fMRI connectivity matrices for subject-level parcellation. Parcellations that use shrinkage estimates of functional connectivity, which "borrow strength" from the population, are more reliable than parcellations that use traditional estimates (Mejia et al., available at http://www.sciencedirect.com/science/article/pii/S1053811915001433).

Cite As

Amanda Mejia (2024). mandymejia/shrinkIt (https://github.com/mandymejia/shrinkIt), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
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Version Published Release Notes
2.0.0.0

Improved methods for shrinkage of summary statistics derived from time series data. A new function, split_ts.m, is provided to process each subject's time series data and compute a series of estimates that can be used to perform shrinkage.
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.