Dorothea L. Floris

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.

This study evaluates how sample size and covariate distributions affect neuroanatomical normative models in Alzheimer's disease, showing that demographic alignment is crucial for reliable results.

The paper examines how stable and changing brain network features predict cognitive development in adolescents using rs-fMRI and cognitive data from the ABCD Study.

The paper quantifies lateralization of 17 brain networks and finds a compensatory relationship between left- and right-lateralized networks across individuals.

The paper examines sex differences in brain structure at birth in newborns, finding larger brain volumes in males and specific regional differences in gray and white matter volumes between sexes.

The paper examines hemispheric lateralization differences in autistic males compared to neurotypical individuals, finding reduced lateralization in specific brain networks and a link to language delay.

The paper replicates and expands on Wang et al. (2014) by examining hemispheric network specialization in individuals using higher resolution parcellation and identifying key contributing connections.

This study examines functional asymmetry in autism, finding reduced leftward asymmetry in language networks and altered developmental trajectories of functional lateralization.

The paper maps functional connectivity patterns in the somatosensory cortex during rest and emotional tasks in ASD and neurotypical individuals, linking them to adaptive functioning skills.

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

The paper examines hemispheric asymmetry in structural covariance networks in ASD across 43 datasets, finding altered topological features in specific brain regions.

The paper investigates sex differences in autism using resting-state fMRI data, finding significant effects in brain connectivity and replicating some findings in independent samples.

The paper identifies structural covariation alterations in autism using VBM and links these patterns to core autism symptoms through canonical correlation analysis.

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 boundary sharpness coefficient (BSC) as a measure of cortical microstructure in ASD, finding age, sex, and regional differences in BSC that correlate with clinical measures.

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 identifies three factors of ASD with distinct brain connectivity and symptom patterns, reconciling categorical and dimensional models of autism heterogeneity.

This study identifies altered structural brain asymmetry in autism spectrum disorder using a large-scale meta-analysis of MRI data from 1,774 ASD cases and 1,809 controls.