Johanna Bayer

This paper updates the normative modelling protocol for computational psychiatry, including new methods, software tools, and models for neuroimaging data analysis.

The paper investigates layer-specific activation in the insula during interoceptive and exteroceptive attention tasks using fMRI and finds increased activity in upper cortical layers during interoceptive attention.

This study uses normative modeling to analyze cortical thickness deviations in MDD patients and healthy controls, finding large overlaps and significant heterogeneity in extreme deviations across individuals.

This paper extends hierarchical Bayesian regression to model non-Gaussian data with skewness and kurtosis, showing improved performance on neuroimaging datasets.

This paper develops a hierarchical Bayesian model to account for site effects in neuroimaging data, showing improved predictive performance compared to harmonization techniques.

Generalized additive models for location, scale and shape (GAMLSS) using SHASH distributions beat Gaussian brain normative models on log score and calibration in most of 150 UK Biobank cortical-thickness regions.

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.