Aki Nikolaidis

This study evaluates transdiagnostic latent factor models for brain-psychopathology associations using neuroimaging data, finding no consistent improvement in predictive utility over summary scores.

Simulations and neuroimaging analyses argue that unreliable clinical and cognitive phenotypes, not only noisy fMRI, cap biomarker discovery; aggregating across raters or repeated measures beats enlarging samples.

The paper standardizes human brain parcellations by curating and organizing multiple atlases into a single open-source repository with standardized metadata and transformation functions.

This paper evaluates the reliability, reproducibility, and predictive validity of functional connectivity gradients in fMRI data across different analytical settings.

This paper shows that bagging improves reproducibility and test-retest reliability of functional brain parcellations across various conditions and scan times.

The paper develops a Network Dynamics Theory of human intelligence by integrating short-term brain network dynamics and long-term developmental changes to explain intelligence and creativity.