Roberto Toro

This study shows that neocortical geometry at birth predicts adult cortical folding patterns and sulcal-gyral fate, suggesting geometry provides positional information alongside molecular signals.

This study uses physical experiments, computational models, and morphometric analysis to show that differential growth explains cortical folding across species.

The paper introduces a multiscale resource integrating genetics, brain imaging, and clinical data from autistic individuals and their relatives to explore genetic and neurobiological patterns in autism.

The study uses MRI data from 70 primate species to show that neocortical folding and organisation depend on mechanical morphogenesis, not just genetics and experience.

This study evaluates multitrait GWAS for brain MRI phenotypes, showing predictable gains over univariate GWAS and proposing data-driven strategies for phenotype selection.

Precon_all is a pipeline for non-human cortical surface reconstruction that generalizes human methods to multiple species, enabling comparative neuroimaging studies.

The paper uses multitrait GWAS to identify genetic links between MRI brain volume phenotypes and psychiatric disorders, finding significant associations with ADHD and schizophrenia.

The paper studies cerebellar folding diversity and evolution across 56 mammalian species using histological data and phylogenetic methods, finding stabilizing selection and correlations between cerebellar and cerebral anatomy.

The paper investigates the relationship between intrinsic coupling modes (ICMs) in brain activity and structural connectivity in the ferret brain, showing strong correlations except when zero-lag synchronizations are removed.

The paper identifies two subtypes of autism based on functional connectivity, linking hyperconnectivity to excitation-inhibition imbalance in 42% of patients.

This paper replicates previous findings of differences in grey-white matter contrast in autism spectrum disorders using open data and finds no significant differences.

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 maps the odds ratio for autism associated with rare LoF variants in autism-associated genes and shows sub-diagnostic effects in undiagnosed individuals.

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

This paper investigates how brain asymmetry indices are affected by brain size and shows that omitting size-related predictors biases sex and age differences in asymmetries.

This study generates neuroanatomical norms from UK Biobank data, showing allometry, sex, and age effects on brain structure, with 67% of regions differing between sexes and 49% declining with age.

The paper introduces PRIME-RE, a collaborative platform for sharing NHP neuroimaging resources, tools, and data.

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 examines the genomic architecture of neuroanatomical diversity using SNP data and MRI, finding polygenic influences and environmental factors affecting brain asymmetry.

This study investigates whether social and non-social autism symptom domains are genetically distinct by analyzing genetic correlations between systemizing and autism traits.

This study analyzes MRI data from 34 primate species to investigate the evolution of neocortical folding, finding a Brownian Motion model best fits the data and a stable fold wavelength across varying brain sizes.

This study compares diffusion MRI tractography with histological tract-tracing in ferrets to assess the reliability of tractography algorithms in mapping cortico-cortical connectivity.

This study investigates sex differences in brain structure related to autism traits using twin data, finding that females show greater environmental impact on brain morphology compared to males.

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.

This study conducts the first genome-wide association study (GWAS) of self-reported empathy, identifying genetic correlations with autism, schizophrenia, anorexia nervosa, and extraversion.

This paper conducts a meta-analysis and ABIDE cohort analysis to investigate cerebellar volume differences in autism, finding weak associations and potential publication bias.

This study identifies modifier genes in Phelan-McDermid syndrome patients by analyzing 22q13 rearrangements and their association with clinical features.

The paper performs a genome-wide meta-analysis of cognitive empathy, identifies genetic associations, and finds heritability and correlations with sex, neuropsychiatric conditions, and brain anatomy.

This paper reviews how mechanical morphogenesis contributes to neocortical organisation by inducing stress patterns that influence cell behavior and connectivity.