Nicola Vanello

The paper investigates how learned auditory predictability affects depth-resolved functional coupling between hippocampal subfields and cortical regions using 7T fMRI.

The paper reports recurrent, stereotyped EEG patterns in an advanced meditator over 13 months, showing consistent neurophysiological dynamics across sessions.

The paper identifies a molecular fingerprint of acute human fear using axillary volatile emissions and a combination of analytical techniques.

This paper introduces a physiologically informed PCA-regularized partial correlation method to estimate direct brainstem functional connectivity in highly collinear fMRI data, improving robustness and interpretability.

This study examines the neurophysiological effects of analytical meditation in expert practitioners, finding changes in autonomic and cortical activity associated with relaxed-vigilance.

This paper develops an fMRI analysis pipeline to study central chemoreception in humans by comparing breath-hold and free breathing conditions, identifying brainstem and diencephalic regions involved in CO2 responses.

The paper constructs a functional connectome of brainstem nuclei in humans using 7 Tesla fMRI, confirming known pathways and showing translatability to 3 Tesla data.

The paper maps the functional connectivity of 18 arousal and motor brainstem nuclei in humans using 7 Tesla fMRI and validates its applicability to conventional 3 Tesla fMRI.

The paper introduces a Smart Region-Growing algorithm for single-neuron segmentation from 3D confocal datasets and validates it against manual segmentation by experts.