Bernard M. Mazoyer

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

The paper examines age-related variations in cortical thickness across different life stages using gene expression data from a large neuroimaging dataset.

This study examines regional changes in white matter volume and microstructure in young adults using MRI data from 1,713 university students, revealing age-related variations in microstructural properties.

The paper introduces the MRi-Share database, a multi-modal brain MRI dataset of 1,870 young adults, and presents preliminary findings on age and sex associations with brain phenotypes.

This paper develops a deep learning algorithm for 3D segmentation of perivascular spaces in MRI data, achieving high accuracy and demonstrating interoperability across scanners.

The paper identifies 21 genetic loci associated with brain asymmetry using UK Biobank data and links them to microtubule-related genes and psychiatric traits.

The paper analyzes brain asymmetry in three population datasets, finding associations with handedness, cognitive functions, and a genetic correlation with Autism Spectrum Disorder.

The paper introduces a new cortical maturation index (MATUR) based on the ratio of cortical thickness and intracortical myelination, showing it better captures age-related structural changes in adulthood than either measure alone.

The paper develops a deep learning classifier to assign independent components from resting-state fMRI to predefined resting-state networks, achieving 92% accuracy and creating an RSN atlas.

The paper identifies brain areas involved in manual preference by analyzing BOLD variations during finger-tapping in 287 adults balanced for handedness.

The paper shows that individuals with atypical rightward language lateralization use a different brain organization compared to typical leftward lateralized individuals, characterized by strong interhemispheric connectivity and larger corpus callosum volume.

The paper analyzes sex differences in brain structure variability across the lifespan using a large dataset, finding greater male variability in subcortical volumes, cortical surface area, and thickness in most regions.

This study examines age-related changes in PSMD across the adult lifespan using multi-cohort diffusion tensor imaging data, finding PSMD increases consistently while other metrics show different age patterns.

The paper investigates genetic factors influencing planum temporale asymmetry and finds limited genetic links to neurodevelopmental disorders, intelligence, or educational attainment.

The paper uses fMRI to show that early human engravings activate brain regions similar to those for objects and written words, suggesting they had a representational purpose.

This study identifies genetic loci specific to periventricular and deep white matter hyperintensities, revealing distinct genetic architectures and potential biological mechanisms.

The paper identifies 161 genome-wide significant genetic associations for cortical structure traits across 34 brain regions, highlighting key biological pathways and gene functions.

The paper identifies genetic associations with cortical surface area using PCA and GWAS, linking DAAM1 to visual cortex development through mitochondrial pathways and thalamocortical input.

The paper creates an atlas of 32 sentence-related brain areas using task-induced activation and resting-state connectivity analysis in healthy right-handers.

The paper constructs a population-based atlas of the human pyramidal tract using diffusion MRI and a new tractography algorithm, showing improved resolution of cortico-lateral projections.