Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis.

ABSTRACT: Understanding complex brain-behaviour relationships in psychiatric and neurological conditions is crucial for advancing clinical insights. This review explores the current landscape of network estimation methods in the context of functional MRI (fMRI) based network neuroscience, focusing on static undirected network analysis. We focused on papers published in a single year (2022) and characterised what we consider the fundamental building blocks of network analysis: sample size, network size, association type, edge inclusion strategy, edge weights, modelling level, and confounding factors. We found that the most common methods across all included studies (n = 191) were the use of pairwise correlations to estimate the associations between brain regions (79.6 %), estimation of weighted netwo

SUBMITTER: van der Pal Z 

PROVIDER: S-EPMC12264222 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature