Antoine Lutti

White Matter Microstructure Fingerprint of Cerebral Small Vessel Disease

The paper analyzes white matter microstructure in cerebral small vessel disease using multimodal imaging metrics and identifies associations with cardiovascular risk factors.

Mid-level visual features engage V4 to support sparse object recognition under uncertainty

This study shows that mid-level visual features, specifically curve segments, enable better object recognition under uncertainty by engaging V4, offering advantages over phosphene-like dots in cortical prostheses.

Assessing Quantitative MRI Techniques using Multimodal Comparisons

The paper analyzes quantitative MRI metrics in healthy adults to understand their relationships and potential for uncovering cortical gradients.

In-vivo characterization of magnetic inclusions in the subcortex from non-exponential transverse relaxation decay

This paper demonstrates non-exponential transverse relaxation decay in human subcortical grey matter using MRI, enabling characterization of magnetic inclusions with potential applications in Parkinson's disease.

ISME - Incoherent Sampling of Multi-Echo data to minimize cardiac-induced noise in brain maps of R2* and magnetic susceptibility

The paper introduces ISME, a sampling strategy that reduces cardiac-induced noise in brain maps of R2* and magnetic susceptibility, improving reproducibility.

K-space sampling strategies to reduce noise induced by cardiac pulsatility in brain maps of R2* and magnetic susceptibility

The paper introduces two k-space sampling strategies to reduce cardiac-induced noise in MRI brain maps of R2* and magnetic susceptibility, showing improved variability reduction with one strategy.

A characterization of cardiac-induced noise in R2* maps of the brain

This paper characterizes cardiac-induced noise in brain R2* maps and proposes a sampling strategy to mitigate its effects.

Statistical analyses of motion-corrupted MRI relaxometry data

This paper introduces QUIQI, a method to restore homoscedasticity in MRI relaxometry data by using weighted least squares, improving statistical analysis robustness.

Single-subject EEG measurement of interhemispheric transfer-time for the in-vivo estimation of axonal morphology

This paper estimates axonal morphology from individual interhemispheric transfer time (IHTT) measurements obtained from single-subject EEG data, showing consistency with histological values but needing improved repeatability.

Asymmetric representation of aversive prediction errors in Pavlovian threat conditioning

This study investigates neural prediction error signals in aversive learning using fMRI in humans, finding asymmetric representation of threat omission PEs in the medial prefrontal cortex.

Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity

The paper introduces a method to estimate local errors in multi-parameter mapping (MPM) neuroimaging data, improving group-level sensitivity by accounting for noise and artefacts.

In-vivo estimation of axonal morphology from MRI and EEG data

This paper estimates axonal morphology from MRI and EEG data in humans, finding parameters consistent with histological findings.

Restoring statistical validity in group analyses of motion-corrupted MRI data

The paper introduces a data-driven method to restore statistical validity in MRI group analyses by assigning image weights based on quality indices, improving performance across brain regions despite motion effects.

Brain tissue properties and morphometry assessment after chronic complete spinal cord injury

This study assesses brain tissue properties and morphometry in chronic complete spinal cord injury patients using MRI, finding significant white matter volume loss linked to Wallerian degeneration but no structural brain changes with conventional analysis.

Controlling motion artefact levels in MR images by suspending data acquisition during periods of head motion

This paper presents a framework to suspend MRI data acquisition during predicted head motion to reduce artefacts, achieving improved data quality with minimal scan time increase.

Quantitative MRI Provides Markers Of Intra-, Inter-Regional, And Age-Related Differences In Young Adult Cortical Microstructure

The paper uses quantitative MRI to map microstructural differences in young adult cortex, finding age-related increases in myelin markers and regional variations in tissue composition.

Convex Optimized Population Receptive Field (CO-pRF) Mapping

This paper introduces CO-pRF, a convex optimization framework for pRF mapping that improves speed and reliability compared to traditional nonlinear methods.