William J. Martin

Mapping Brain-Behavior Space Relationships Along the Psychosis Spectrum

The paper develops a stable brain-behavior space mapping for psychosis-spectrum disorders using symptom and brain data, showing univariate approaches outperform multivariate ones for individualized prediction.

Differential effects of novel kappa opioid receptor antagonists on dopamine neurons using acute brain slice electrophysiology

This study evaluates four novel KOR antagonists using electrophysiology in rat midbrain slices, showing differences in their pharmacological effects on dopamine neurons.

Differential modulation of ventral tegmental area circuits by the nociceptin/orphanin FQ system

This study investigates the synaptic effects of N/OFQ in VTA neurons using electrophysiology, finding differential modulation based on projection targets and receptor desensitization with repeated application.

Machine learning models identify multimodal measurements highly predictive of transdiagnostic symptom severity for mood, anhedonia, and anxiety

The paper develops machine learning models using multimodal data to predict transdiagnostic psychiatric symptom severity, achieving high variance explanation and revealing key predictors.

Highly Predictive Transdiagnostic Features Shared across Schizophrenia, Bipolar Disorder, and ADHD Identified Using a Machine Learning Based Approach

The paper identifies transdiagnostic features shared across schizophrenia, bipolar disorder, and ADHD using machine learning on self-reported data, showing high predictive power for distinguishing patients from controls.

Hierarchy of transcriptomic specialization across human cortex captured by myelin map topography

The paper uses MRI-derived myelin maps to identify hierarchical transcriptomic gradients in human cortex, linking anatomical hierarchy to gene expression patterns.