Gioacchino Tedeschi

This paper introduces a method using clustering and stochastic rank aggregation to identify functional neuromarkers in resting-state fMRI data, finding distinct parcel rankings between healthy controls and patients with Parkinson's disease and amyotrophic lateral sclerosis.

This paper shows that small effect sizes in resting-state fMRI studies lead to reproducibility issues, even after multiple comparison corrections, and recommends meta-analysis of un-thresholded data for better results.