Alexander D. Korotkov

The paper benchmarks FC analysis pipelines for classifying resting-state fMRI data between eye open and closed states, finding robust accuracy despite processing variability.

This study compares methods for task-modulated functional connectivity in fMRI, revealing best practices and limitations for mapping task connectomes.

The paper uses Bayesian analysis of fMRI data in an equiprobable Go/NoGo task to find evidence for non-selective response inhibition in uncertain contexts.

This paper compares Bayesian parameter inference with classical null hypothesis testing in fMRI group analysis, arguing that Bayesian methods provide more intuitive evidence for both null and alternative hypotheses.

The paper investigates structural brain differences associated with social intelligence measured by the Guilford-Sullivan test, finding increased grey matter volume in specific brain regions among individuals with higher scores.