Personalized disordered circuit modeling reveals diverse neurobiological routes to transdiagnostic symptoms

In a transdiagnostic fMRI population of n=317, personalized disordered circuit models identify individualized connectivity patterns linked to psychiatric symptoms, revealing diverse neurobiological routes.

• Why it matters: Similar transdiagnostic symptoms may reflect distinct neurobiological dysfunction, limiting clinically actionable findings and motivating models that localize disordered circuits per individual.
• What they did: Using connectome-based predictive modeling on extensive fMRI data, symptom networks were aggregated and the strongest symptom-contributing connections were used to build personalized disordered circuit models.
• The result: Many model features were associated with specific diagnoses and comorbidity patterns even when symptoms lacked diagnostic specificity, suggesting similar symptoms can arise via diverse mechanisms by diagnostic profile.