Ana Laura Manera

QRATER is a web-based QC tool for neuroimaging that enables rating of QC images, showing varying time and agreement across tasks and rater experience.

The paper introduces disease-specific neuroimaging templates for frontotemporal dementia (FTD) to improve registration accuracy and reduce biases in analyses of affected populations.

This study shows that atrophy patterns in bvFTD are shaped by both global brain network structure and local transcriptomic vulnerability from disease-related genes.

This study examines the relationship between white matter hyperintensities (WMHs) and grey matter atrophy in neurodegenerative diseases, finding significant associations in MCI, AD, and FTD but not PD.

The paper introduces CerebrA, an atlas registered to the MNI-ICBM2009c template, with manual label correction for improved anatomical accuracy in brain imaging.

This study uses MRI to show cerebral atrophy patterns in ALS patients, linking them to clinical disability and a proposed pathological staging model.

The paper develops a random forest classifier to diagnose behavioral variant frontotemporal dementia using MRI and cognitive scores, achieving high accuracy in both training and validation cohorts.

This study uses deformation-based morphometry to quantify cerebral atrophy in bvFTD patients, showing ventricular expansion as a sensitive marker for disease progression and providing sample size estimates for clinical trials.