Maro G. Machizawa

This study reviews and analyzes neurofeedback training's impact on memory in healthy adults, finding small-to-moderate improvements with varying factors influencing effectiveness.

The paper identifies psychometric archetypes in young adults that correlate with biological markers of mental health vulnerability and resilience, improving predictive models for clinical outcomes.

oFVSD improves ML decoding accuracy in neuroimaging by optimizing feature selection and using parallel computation.

This study examines how depression risk affects brain-heart interactions during emotional processing under uncertainty, finding that higher risk is linked to reduced neural anticipation and heightened physiological responses to negative stimuli.

This study identifies resting-state brain connectivity patterns that predict individual aptitude in fMRI-neurofeedback training, independent of targeted brain regions.

The paper introduces a three-axial model of emotion to quantify anticipatory excitement using EEG data from participants viewing emotional stimuli.