The diagnostic potential of resting state functional MRI: Statistical concerns.

ABSTRACT: Blood oxygen level-dependent functional magnetic resonance imaging (fMRI) is a widely used, non-invasive method to assess brain hemodynamics. Resting-state fMRI (rsfMRI) estimates functional connectivity (FC) by measuring correlations between the time courses of different brain regions. However, the reliability of rsfMRI FC is fundamentally compromised by statistical artifacts arising from signal cyclicity, autocorrelation, and preprocessing-induced distortions. We discuss how standard rsfMRI preprocessing -particularly the widely used band-pass filters such as 0.009-0.08 Hz and 0.01-0.10 Hz- introduce biases that increase correlation estimates between independent time series. Additionally, filtering without appropriate downsampling further distorts correlation coefficients, inflating stat

SUBMITTER: Doubovikov ED 

PROVIDER: S-EPMC12303613 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature