Fabrizio Esposito

Learned Audiovisual Predictability Modulates Depth-Resolved Hippocampal-Cortical Functional Coupling

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

A comparison of continuous-wave fNIRS with quantitative fMRI-derived indices of brain function in the visual cortex

This study compares continuous-wave fNIRS with fMRI-derived indices in the visual cortex, finding strong cross-modal agreement and state-dependent relationships between haemoglobin modulations and fMRI signals.

Non-neuronal signal fluctuations in Alzheimer's disease and in mild cognitive impairment

This study investigates the relationship between vascular metrics and noise in Alzheimer's disease, mild cognitive impairment, and healthy controls using fMRI techniques.

Chemosensitive brainstem and diencephalic components in breath-hold fMRI

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.

Towards Semantic fMRI Neurofeedback: Navigating among Mental States using Real-time Representational Similarity Analysis

This paper introduces a real-time fMRI neurofeedback method using semantic representations to allow participants to navigate mental states by controlling neural activity towards target brain states.

Stochastic rank aggregation for the identification of functional neuromarkers

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.

Small effect size leads to reproducibility failure in resting-state fMRI studies

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.