Paul Klauser

MRSIPrep provides a standardized post-quantification framework for whole-brain MRSI to improve reproducibility across datasets and applications.

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.

The paper constructs the first human brain metabolic connectome using MR spectroscopic imaging, revealing distinct topological features and alignment with cytoarchitectonic and genetic patterns.

This study shows that mindfulness training changes brain network dynamics related to stress response in adolescents, reducing psychological distress through altered default network activity.

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.

This paper develops a 3D high-resolution whole-brain MRSI technique with reduced acquisition time using compressed-sensing and low-rank reconstruction, producing detailed metabolite maps.

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.