Joost Janssen

This study links sulcal widening in schizophrenia to network hubs and genes involved in synaptic signaling and energy metabolism.

The paper examines morphometric similarity networks in health and schizophrenia, finding reduced default mode network similarity in schizophrenia but minimal individual deviations over time.

This study uses time-resolved fMRI to analyze dynamic brain networks during emotional tasks, identifying four networks with distinct spatial and temporal features linked to different stages of emotional processing.

This study uses deep learning and normative modeling to analyze MRI data from MS patients and identify subcortical volume deviations that improve understanding of disease progression.

The paper introduces an algorithm to estimate vertex-wise sulcal width maps on cortical surfaces, validated against simulations and showing correlations with age in an aging population.

ABLE extracts sulcal fundi and gyral crown lines from brain surfaces using Laplacian surface collapse, validated on HCP data to show reliable and accurate sulcal topology representation.

The paper examines longitudinal allometric scaling of sulcal morphology in health and schizophrenia, finding steeper age-related declines in SZ compared to healthy individuals.

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

The paper examines sex differences in lifespan trajectories and variability of human sulcal and gyral morphology using longitudinal neuroimaging data.

The paper identifies a subgroup of schizophrenia patients with extreme cognitive deficits by analyzing sulcal width dissimilarity using the PBSI-SW metric.

The paper investigates associations between polygenic risk scores for schizophrenia, psychotic-like experiences, and structural brain network properties in healthy UK Biobank participants.

This study identifies genetic variants linked to longitudinal brain structure changes across the lifespan using MRI data from 15,640 individuals.

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.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.