Vincent Frouin

The paper uses self-supervised deep learning representations of cortical folding to identify more genetic loci associated with cortical shape than classical morphometry in a large cohort.

The paper identifies patterns of neural variability in autism using fMRI across tasks, finding greater global connectivity deviations and similar spatial patterns in autistic individuals compared to controls.

The paper identifies genetic variations in human gained enhancers that explain heritability of specific brain sulcal morphologies in the UK Biobank.

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

The paper performs a multivariate GWAS on resting-state functional connectivity in language-related brain regions, identifying 20 genomic loci associated with language functional connectivity.

The paper examines region-specific expression of paralogs in the human central nervous system using GTEx data, finding that young small-scale duplications (ySSDs) are more region-specific than other paralogs.

This study performs a genome-wide haplotype association analysis of brain sulcal openings in 16,304 UK Biobank subjects, finding haplotype analysis more sensitive than single-SNP approaches.

The paper identifies atypical brain asymmetry in autism as a potential neurophenotype for stratification, showing individualized patterns linked to symptom severity and language delay.

This study investigates reward processing in autism spectrum disorder (ASD) and finds generalized hypoactivity in the ventral striatum during anticipation of both social and monetary rewards.

The paper uses a graph-convolutional neural network to predict brain states from rsfMRI data in nonhuman primates, showing it can detect cortical signatures of consciousness.

The paper identifies an enhancer locus in 14q23.1 associated with brain asymmetry in regions involved in language processing, using UK Biobank and IMAGEN data.

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

This study examines the relationship between sleep patterns and grey matter volumes in adolescents, finding that later weekend wake-up times are linked to reduced grey matter in specific brain regions and increased psychological symptoms.

This study uses normative models to analyze cortical thickness deviations in ASD, finding individualized patterns rather than common case-control differences.

The paper identifies genetic variants influencing brain sulcal widening using UK Biobank data, finding an eQTL for KCNK2 associated with cortical atrophy and cognitive decline.

The paper identifies shared genetic influences between cognitive performance and brain activation in language and math tasks using the HCP dataset.

This paper introduces a diffeomorphic centroid method for shape analysis of large datasets, showing it achieves similar results to variational templates but with 70% faster computation.

The paper analyzes neuroimaging and genotyping data to show that 54% of neuroanatomical heritability is explained by many small-effect SNPs across the genome.