Renaud La Joie

The paper identifies potential diagnostic biomarkers for frontotemporal lobar degeneration subtypes using cerebrospinal fluid proteomics.

The paper identifies the CSF YWHAG:NPTX2 ratio as a biomarker for predicting clinical severity and phenoconversion in FTLD, showing strong correlation with disease progression and improved trial design potential.

This paper identifies a posterior predominant amyloid PET binding pattern in multiple cohorts, showing its clinical and biological relevance and suggesting the need for more nuanced analysis methods.

The paper develops a harmonized segmentation protocol for hippocampal subfields in MRI, improving cross-study comparisons and understanding of subfield structure and function.

The paper presents a harmonized segmentation protocol for the hippocampal tail in high-resolution MRI, improving cross-study comparability through standardized definitions and consensus-based guidelines.

The paper surveys QC practices for hippocampal subfield segmentation in MRI and provides recommendations to improve reliability and reporting.

This paper compares cytoarchitectonic delineations of medial temporal lobe subregions by four neuroanatomists, finding higher agreement in some areas and less in others.

The paper examines associations between neuronal subpopulation parameters and tau/A{beta} in AD patients using MEG and PET data.

The paper develops a model to predict future tau-PET burden in Alzheimer's disease using network diffusion and baseline data, achieving moderate predictive accuracy in MCI and AD patients.

The paper identifies four latent atrophy factors in posterior cortical atrophy using Bayesian modeling, finding that most patients exhibit mixed profiles rather than distinct variants.

The paper identifies a molecular gradient along the human hippocampus's longitudinal axis that correlates with distinct brain systems and behavioral functions.

The paper identifies distinct morphometric network changes in aging and Alzheimer’s disease, showing additive effects of aging and AD on GM loss, with unique whole-brain pattern variability in AD.