Luca Vizioli

This paper develops an 80-channel receive array for 10.5T MRI to optimize SNR and parallel imaging by addressing parasitic losses and design improvements.

This study uses laminar fMRI to investigate predictive auditory processing in human cortical layers, showing hierarchical organization of prediction violations and their association with specific cortical layers.

This paper uses 10.5T fMRI to achieve 0.5 mm isotropic resolution, enabling detailed study of hippocampal function and high-precision clinical applications.

This paper explores the potential and challenges of ultrahigh resolution fMRI at 10.5 Tesla to study cortical layers with improved resolution compared to standard methods.

The paper introduces a numerical method to quantify SAR prediction errors for MRI safety validation, avoiding the need for MR thermometry.

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

This paper presents initial results of 10.5 Tesla fMRI in humans, showing improved spatial resolution and functional contrast compared to 7 Tesla.

This paper introduces multi-echo acquisition and thermal denoising methods to improve precision functional MRI in adults, children, and newborns, showing increased signal-to-noise ratio and reliability.

The paper develops a 128-channel receive array for 10.5T brain imaging, showing SNR gains and plateau effects in central regions.

The paper develops a high-channel-count RF coil array for 10.5T MRI, achieving high SNR and demonstrating high-resolution brain imaging at this field strength.

This study evaluates two versions of NORDIC denoising on submillimeter auditory fMRI data, finding improved detection sensitivity and reliability but reduced average response amplitude.

The paper uses ultra-high field fMRI to study task-related top-down modulations in human visual areas across cortical layers, finding layer-specific patterns in V1 and FFA.

This review evaluates the benefits of rapid temporal sampling in fMRI, showing it can reveal previously undetected neuro-temporal dynamics and improve spatial precision.

This paper introduces a novel fMRI denoising technique that improves temporal-SNR and functional map detection without altering signal amplitudes or spatial precision.

The paper evaluates the NORDIC method for reducing thermal noise in fMRI data, showing it improves sensitivity and preserves spatiotemporal precision without significant loss of temporal information.

This study uses ultra-high field fMRI to show that higher-level cortices modulate perceptual ambiguity and that the right inferior-temporal lobe encodes trial-by-trial variability in face perception.

The paper evaluates the spatial precision of stimulus-specific BOLD responses using MVPA across cortical depths in V1, finding that multivoxel patterns can achieve sub-millimeter resolution.

This study evaluates ultra-high-resolution fMRI's ability to capture fine-scale BOLD activity, identifies venous effects as a confounding factor, and provides practical recommendations for data interpretation.

This paper introduces tMVPA, a method to analyze temporal dynamics of the BOLD signal in fMRI data using single-trial analysis and sliding windows, showing it can detect time-specific patterns with controlled error rates.