Jennifer Monereo Sánchez

This study identifies 856 genetic loci associated with sulcal depth through a genome-wide association study using UK Biobank data, showing higher heritability and locus yield compared to cortical thickness and surface area.

This study identifies genetic overlap between Alzheimer's disease and depression using GWAS data and biostatistical tools, finding shared variants and brain morphology associations.

This study compares manual and automated quality control strategies for brain MRI segmentation, finding that Euler numbers and MRIQC provide reliable and efficient methods to reduce measurement error.

This study evaluates the effectiveness of combining cognitive training with tDCS in stroke survivors, finding significant training effects but no additional benefit from tDCS, and no strong link between pre-training brain activation and cognitive gains.

This study investigates the relationship between post-stroke fatigue and brain disconnectivity in chronic stroke patients, finding no significant associations with disconnectome measures or lesion characteristics.

The paper quantifies genetic overlap between cortical thickness and surface area using UK Biobank data, finding shared causal variants and suggesting more discoverable parcellation schemes.

This study tests if brain age prediction can predict cognitive outcomes and response to training in stroke patients, but finds no significant associations.

The paper develops tissue-specific brain age prediction models using diffusion tensor imaging and morphometry to assess cognitive aging patterns and their deviations from normal trajectories.

This study identifies 15 genome-wide significant loci associated with hippocampal subfield volumes in 21,297 individuals, revealing distinct genetic determinants for different subfields.