Amaia Benitez-Andonegui

This study examines how participants evaluate their performance in fMRI neurofeedback tasks, finding that prediction accuracy improves with learning but confidence remains stable.

This study uses CBV-sensitive fMRI to quantify columnar organization in human hMT+ for axis-of-motion stimuli, showing higher specificity with VASO over BOLD.

This paper compares SA correction methods with and without short-distance channels in fNIRS, finding that methods with SDCs generally perform better but methods without SDCs can still improve signal quality.

The paper compares optode-layout design approaches for fNIRS using individual fMRI data, finding that incorporating more individual MRI data improves signal quality and sensitivity.