Nikolaos Koutsouleris

This study identifies molecular, physiological, and functional mechanisms underlying antipsychotic-related cortical thinning using data from patients with early psychosis and a large meta-analysis.

The paper introduces dsMTL, a framework for privacy-preserving, distributed multi-task machine learning, and evaluates its performance in identifying biological signatures across distributed datasets.

The paper identifies 617 novel genomic loci and pathways associated with structural covariance patterns in the human brain using a stochastic multivariate factorization method.

This paper introduces MAGIC, a multi-scale semi-supervised clustering method for brain imaging data to identify disease subtypes, and evaluates its performance on simulated and clinical datasets.

The paper uses multivariate pattern analysis to predict functional outcomes after auditory-based cognitive training in schizophrenia patients based on brain structure.

The paper harmonizes 10,232 structural brain MRIs from 18 studies to create a normative reference of brain development and aging across 3 to 96 years.