Argyris K. Stringaris

Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning

The paper introduces DeepTaskGen, a deep learning method that generates synthetic task-based contrast maps from resting-state fMRI data, outperforming benchmarks and enabling biomarker development for cognitive tasks.

Genetically informed drug target prioritisation and repurposing for major depressive disorder

This paper identifies and prioritizes drug targets for major depressive disorder using genetic methods, finding that 82% of approved depression/anxiety drugs have significant genetic targets.

Brain Diffusion Transformer for Personalized Neuroscience and Psychiatry

The paper introduces Brain-DiT, a deep generative model for analyzing task-fMRI data, identifying cognitive regions and subgroups linked to psychiatric conditions like depression and alcohol abuse.

Capturing Brain-Cognition Relationship: Integrating Task-Based fMRI Across Tasks Markedly Boosts Prediction and Test-Retest Reliability

This paper shows that integrating task-based fMRI across tasks improves prediction and test-retest reliability of cognitive abilities compared to non-task MRI modalities.

Longitudinally stable, brain-based predictive models mediate the relationships between childhood cognition and socio-demographic, psychological and genetic factors

The paper develops brain-based predictive models for childhood cognition using multimodal MRI data from the ABCD study, showing stability over time and partial mediation of socio-demographic, psychological, and genetic factors.

Explainable Machine Learning Approach to Predict and Explain the Relationship between Task-based fMRI and Individual Differences in Cognition

This paper uses an explainable machine learning framework to predict and explain cognitive differences from task-based fMRI data, finding that ML models outperform traditional methods in prediction and provide consistent explanations.

Electrophysiological correlates of mood and reward dynamics in human adolescents

This study links trial-by-trial mood dynamics during gambling tasks to neural oscillations in adolescents using MEG, finding beta-gamma power related to reward expectation and localized brain sources.

Timing matters: The temporal representation of experience in subjective mood reports

The paper shows that earlier experiences have a stronger influence on reported mood than recent events, using computational modeling and neural evidence.

Great Expectations: A Critical Review of and Recommendations for the study of Reward Processing as a Cause and Predictor of Depression

This paper reviews reward processing as a cause and predictor of depression, identifies challenges, and finds reward processing abnormalities are not yet clinically predictive but may have causal roles.

Identifying novel subtypes of irritability using a developmental genetic approach

This paper identifies five irritability trajectory classes in a longitudinal cohort, linking early-onset patterns to ADHD and late-onset patterns to depression, suggesting distinct developmental origins.