Philippe Conus

The paper uses longitudinal spectroscopic imaging to show sex-specific hormone-metabolite coupling in adolescent brains, revealing age and sex-dependent neurochemical changes.

The paper uses magnetic resonance spectroscopic imaging to identify sex differences in brain metabolites across multiple cohorts, finding a consistent male higher tNAA/tCr ratio in gray and white matter.

This study uses high-resolution 3D-MRSI to assess neurometabolite differences in youth at risk for psychosis compared to controls, finding elevated tNAA and Ins in specific brain regions.

This study uses whole-brain models to analyze brain connectivity differences between remitting and non-remitting early psychosis patients, finding altered functional connectivity and potential compensatory mechanisms.

This study identifies stable biomarkers for schizophrenia using machine learning on multi-modal connectome data, showing improved stability and accuracy through recursive feature elimination and support vector machines.