Henry Rusinek

This study identifies distinct hippocampal cellular pathologies associated with cognition in schizophrenia and affective psychoses, showing differences in metabolite biomarkers between these conditions.

The paper compares cellular biomarkers in psychiatric diagnoses using 3D hippocampal MR spectroscopy, finding both similarities and differences in symptom-related pathologies across affective and non-affective psychoses.

This study finds that hypertension is associated with reduced radiotracer removal from lateral ventricles, indicating impaired brain clearance.

The paper develops a low-dimensional manifold representation to estimate brain age and identify structural aging trajectories from neuroimaging data.

This paper evaluates the polygenic risk score for Alzheimer's disease in Japanese individuals, showing its utility despite genetic differences from European populations.

The paper develops a deep learning model to detect hydrocephalus requiring treatment from MRI scans, achieving performance comparable to neuroradiologists.

This paper develops a blood-based machine learning model to predict cerebral spinal fluid Aβ1-42 levels, showing high accuracy in identifying Alzheimer's disease risk.