2023/05/07 by Benedikt Sundermann, Bettina Pfleiderer, Anke McLeod +1 · 1 voice
Neuroscience · Medicine · #Functional Brain Connectivity Studies #Advanced Neuroimaging Techniques and Applications #Advanced MRI Techniques and Applications
paper · pdf · doi:10.31234/osf.io/fyhst
openalex publication_date 2023/05/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Many functional magnetic resonance imaging (fMRI) studies rely on mass-univariate inference with subsequent multiple comparison correction. Statistical results are frequently visualized as thresholded statistical maps. This approach has inherent limitations including the risk of drawing overly-selective conclusions based only on selective results passing such thresholds. This article gives an overview of both established and newly emerging approaches to supplement such conventional analyses by incorporating information about subthreshold effects with the aim to improve interpretation of findings or leverage a wider array of information. Topics covered include neuroimaging data visualization, p-value histogram analysis and the related Higher Criticism approach for detecting rare and weak effects as well as multivariate analyses and dedicated Bayesian approaches.