Edith Pomarol‐Clotet

Polygenic burden of ubiquitin system genes in schizophrenia: focus on prenatal neurodevelopment

The paper assesses the polygenic burden of ubiquitin system genes in schizophrenia, finding enrichment of SZ-associated variation and associations with cognitive performance.

Brain neuromarkers predict self- and other-related mentalizing across adult, clinical, and developmental samples

The paper develops fMRI classifiers to predict self- and other-related mentalizing, showing high accuracy and distinct neural patterns across different populations and conditions.

Structural Brain Network Alterations in Relation to Treatment and Illness Severity in Bipolar Disorder

This study analyzes structural brain network changes in bipolar disorder, finding widespread connectivity disruptions linked to illness severity and medication use.

Shared genetic architecture of brain age gap across 30 cohorts worldwide

This study identifies a shared genetic factor underlying brain age gaps across 30 cohorts, finding 19 SNPs and associations with health traits.

A Scalable Toolkit for Modeling 3D Surface-based Brain Geometry

The paper introduces a scalable toolkit for 3D surface-based brain analysis, demonstrating its utility in mapping subcortical shape variations across 21 international samples.

Neuroanatomical Correlates of Negative Symptoms in Schizophrenia

This study identifies small but consistent anatomical correlates of negative symptom dimensions in schizophrenia, linking them to prefrontal cortical thickness and limbic subcortical volumes.

Sex differences in deep brain shape and asymmetry persist across schizophrenia and healthy individuals: A meta-analysis from the ENIGMA-Schizophrenia Working Group

Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study

This study investigates how structural brain alterations in schizophrenia relate to network architecture, finding hub susceptibility and shared epicenters across disease stages and disorders.

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.

A Large-Scale ENIGMA Multisite Replication Study of Brain Age in Depression

The paper replicates a brain age gap in depression using a large-scale multisite study, finding a similar effect size to a prior study.

Dissociable Cellular and Genetic Mechanisms of Cortical Thinning at Different Life Stages

The paper examines age-related variations in cortical thickness across different life stages using gene expression data from a large neuroimaging dataset.

A Method for the Automatic Normalization and 3D Facial Mesh Extraction from Head Magnetic Resonance Imaging

This paper presents an automatic method to normalize and extract 3D facial meshes from head MRI scans, achieving high accuracy in orientation, alignment, and noise removal.

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

The paper develops deep learning models to assess the quality of subcortical brain shape models from MRI, reducing human rater time by 46-70%.

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

This work uses machine learning to automate quality control of 3D brain shape models, reducing human workload by 30-70% across multiple datasets and diseases.