Andrew Reid PhD

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Learning about fMRI analysis
Published on 2021-06-24
by Andrew Reid
#17
In this post, I focus on the logic underlying statistical inference based on fMRI research designs. This consists of (1) modelling the hemodynamic response; (2) "first-level" within-subject analysis of time series; (3) "second-level" population inferences drawn from a random sample of participants; and (4) dealing with familywise error. This is part of a line of teaching-oriented posts aimed at explaining fundamental concepts in statistics, neuroscience, and psychology.
Tags:Stats · FMRI · Hemodynamic response · Mixed-effects model · Random field theory · False discovery rate · Teaching
stats,fMRI,hemodynamic response,mixed-effects model,random field theory,false discovery rate,Teaching