Denis V. Cherednichenko

Benchmarking resting state fMRI connectivity pipelines for classification: Robust accuracy despite processing variability in cross-site eye state prediction

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

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

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

Evidence for the null hypothesis in functional magnetic resonance imaging using group-level Bayesian inference

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.