Maria Angelique Di Biase

dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

Optimizing the In Vitro Neuronal Microenvironment to Mitigate Phototoxicity in Live-cell Imaging

This study optimizes in vitro neuronal microenvironments to reduce phototoxicity by testing culture conditions and imaging protocols over 33 days.

Heterogeneous, temporally consistent, and plastic brain development after preterm birth

The paper shows that brain abnormalities after preterm birth are spatially heterogeneous but temporally consistent and plastic in response to social environments.

Deep generation of personalized connectomes based on individual attributes

The paper introduces a deep learning model to generate individual connectomes from personal attributes and shows it can accurately replicate empirical connectomes from the UK Biobank.

Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

TRAMFIX: TRavelling Across Melbourne for FIXel-based analysis (a reproducibility study)

TRAMFIX evaluates the reproducibility of fixel-based analysis across multiple MRI scanners and finds high reliability for whole-brain and tract-level metrics, with some variability at the fixel level.

Genetic influences on circulating retinol and its relationship to human health

This study conducts a large GWAS of retinol, identifies genetic loci, and uses MR-pheWAS to explore retinol's causal relationships with various health traits.

A generative model of the connectome with dynamic axon growth

This paper introduces a generative model of the connectome that simulates dynamic axon growth, producing brain-like network structures and revealing how axonal guidance principles shape macroscopic connectomes.

Connectomes for 40,000 UK Biobank participants: A multi-modal, multi-scale brain network resource

The paper provides a large-scale connectome resource for 40,000 UK Biobank participants, including structural and functional brain networks with multiple parcellations and preprocessing techniques.

Estimating multimodal brain variability in schizophrenia spectrum disorders: A worldwide ENIGMA study

This study examines structural brain heterogeneity in schizophrenia using multimodal MRI data from the ENIGMA dataset, finding higher frontotemporal heterogeneity and left parahippocampal homogeneity in patients.

Brain charts for the human lifespan

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort

The paper maps individual deviations from normative brain structure in schizophrenia patients and finds high heterogeneity, with most patients showing infra-normal deviations in at least one region.