Josselin Houenou

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

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

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.

The paper shows that depressive-like states in mice exhibit negative emotional bias, linked to altered basolateral amygdala (BLA) circuits and mitigated by antidepressants or chemogenetic interventions.

This paper uses machine learning on brain imaging and sociodemographic data from the UK Biobank to create proxy measures of psychological constructs, which are as useful or more useful than traditional assessments for predicting health behaviors.

The paper develops an fMRI-based method to detect auditory hallucinations in schizophrenia patients using a linear classifier, achieving high decoding accuracy across independent datasets.

This study investigates superficial white matter microstructure in schizophrenia and bipolar disorder using diffusion weighted imaging, finding altered fractional anisotropy in specific brain regions.

This study identifies reproducible functional connectivity alterations in ASD using rs-fMRI across four large cohorts, linking them to clinical symptoms and brain regions.