Fuyuze Tokoglu

Personalized disordered circuit modeling reveals diverse neurobiological routes to transdiagnostic symptoms

The paper develops a data-driven method to identify individualized disordered connectivity patterns from fMRI data, revealing diverse neurobiological mechanisms underlying transdiagnostic psychiatric symptoms.

Testing the Tests: Using Connectome-Based Predictive Models to Reveal the Systems Standardized Tests and Clinical Symptoms Are Reflecting

This paper introduces a feedback approach to connectome-based predictive modeling to identify which brain systems standardized tests and clinical symptoms reflect, enabling better-targeted test development.

Flexible brain state engagement predicts cognitive control transdiagnostically

This study shows that flexible brain state engagement predicts cognitive control across multiple psychiatric disorders using machine learning and three transdiagnostic datasets.

Transdiagnostic connectome-based predictive modeling reveals where circuits related to self-reported clinical symptoms impinge upon brain networks supporting cognition

The paper uses connectome-based predictive modeling to show that circuits related to clinical symptoms and cognitive deficits are localized in specific brain networks.

Arousal impacts distributed hubs modulating the integration of brain functional connectivity

This study investigates how arousal levels affect brain network integration using resting state fMRI and pupillometry, showing decreased integration and variability at low arousal.