ialmodovar/RFASTfMRI: FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI

Functional Magnetic Resonance Imaging is a noninvasive tool used to study brain function. Detecting activation is challenged by many factors, and even more so in low-signal scenarios that arise in the performance of high-level cognitive tasks. We provide a fully automated and fast adaptive smoothing and thresholding (FAST) algorithm that uses smoothing and extreme value theory on correlated statistical parametric maps for thresholding.

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Package details

AuthorIsrael Almodovar-Rivera, Ranjan Maitra
MaintainerIsrael Almodovar-Rivera <israel.almodovar@upr.edu>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
ialmodovar/RFASTfMRI documentation built on Jan. 26, 2020, 4:02 a.m.