Sebastian Georg Wenzel Urchs

Nipoppy standardizes neuroimaging data workflows to enable reproducible and comparable multi-center data sharing.

The paper discusses challenges in federated analysis for multisite neuroinformatics studies and presents solutions from recent projects.

The paper identifies functional connectivity subtypes associated with ASD diagnosis and shows their generalizability across independent data.

The paper examines how rare and common genomic variants affect brain functional connectivity, revealing how polygenicity and pleiotropy influence psychiatric conditions and brain networks.

Neuropsychiatric CNVs reorganize brain connectivity along shared patterns linked to cognitive traits and disorder severity.

The paper examines how CNVs in 16p11.2 and 22q11.2 affect functional brain connectivity in neuropsychiatric disorders, identifying shared dysconnectivity patterns across ASD, SZ, and deletions.

This paper introduces fMRIPrep, a tool for preprocessing task-based fMRI data, and demonstrates its integration into a workflow for statistical analysis.

The paper identifies a functional connectivity endophenotype that significantly increases ASD diagnosis risk and generalizes across independent data.

This paper assesses the long-term consistency of resting-state fMRI connectivity maps across multiple sites and vendors over 2.5 years, finding good stability but significant site and vendor effects.

The paper identifies a predictive signature of cognition and brain atrophy for progression to Alzheimer’s dementia using machine learning, validated in two MCI cohorts with high positive predictive value.

The paper identifies subtypes of functional brain connectivity in older adults linked to Alzheimer's disease symptoms and risk factors.