Introduction: fMRI MVPA pipeline in python for LewPeaLab in UT Austin
Author: Ziyi Duan (Zoe)
Date: 24/11/2021
Aim: making a pipeline for fMRI multivariate pattern analysis (MVPA) based on python language, replicate main results in the paper
Decoding methods: MVPA, RSA
Paper: Kim, H., Smolker, H.R., Smith, L.L. et al. Changes to information in working memory depend on distinct removal operations. Nat Commun 11, 6239 (2020). https://doi.org/10.1038/s41467-020-20085-4
Data source: https://github.com/LewisPeacockLab/NCOMMS1930876B
Description:
These pipeline include:
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using MVPA to decode three categories in the localizer task
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using MVPA to decode nine sub-categories in the localizer task
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using the trained classifer from the localizer task to decode category in the study task
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using MVPA to decode four different cognitive operations in the study task