Antonino Vallesi

Towards a scalable effective connectivity estimation in fMRI

This paper introduces a scalable method for estimating effective connectivity in fMRI data, showing it matches advanced DCM results and outperforms functional connectivity for connectome fingerprinting.

Cracking the predictive stability code: dual trial-by-trial spatio-temporo-spectral dynamics of task representation directional tuning by Bayesian conflict expectations

The paper analyzes EEG data from a spatial Stroop task to uncover how conflict expectations influence predictive stability through distinct spatio-temporo-spectral dynamics.

Switching patterns of cortical-subcortical interaction in the human brain

The paper analyzes dynamic functional connectivity in the human brain, identifying two recurring states of cortical-subcortical interactions in healthy subjects.

Understanding the link between functional profiles and intelligence through dimensionality reduction and graph analysis

This study links functional connectivity profiles to fluid intelligence using dimensionality reduction and graph analysis, showing that functional distance from sensory and high-cognition systems correlates with intelligence.

EEG microstate transition cost correlates with task demands

This paper introduces a framework to quantify cognitive effort using EEG microstates and optimal transport theory, validated on Stroop task data showing increased transition costs with task demands.

lmeEEG: Mass linear mixed-effects modeling of EEG data with crossed random effects

The paper introduces lmeEEG, a method for applying linear mixed-effects models to EEG data with crossed random effects, showing improved performance and computational efficiency.