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- W4295833337 abstract "In this work, we describe in more detail how to perform fMRI group analysis using inputs from modeling fMRI signal using Matrix-Variate Dynamic Linear Models (MDLM) at the individual level. After computing a posterior distribution for the average group activation, the three algorithms (FEST, FSTS, and FFBS) proposed from the previous work by Jim'enez et al. [2019] can be easily implemented. We also propose an additional algorithm, which we call AG-algorithm, to draw on-line trajectories of the state parameter and therefore assess voxel activation at the group level. The performance of our method is illustrated through one practical example using real fMRI data from a voice-localizer experiment." @default.
- W4295833337 created "2022-09-15" @default.
- W4295833337 creator A5046891394 @default.
- W4295833337 date "2019-11-02" @default.
- W4295833337 modified "2023-10-18" @default.
- W4295833337 title "fMRI group analysis based on outputs from Matrix-Variate Dynamic Linear Models" @default.
- W4295833337 doi "https://doi.org/10.48550/arxiv.1911.00708" @default.
- W4295833337 hasPublicationYear "2019" @default.
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