Brain Network Connectivity Changes Associated with Age and Schizophrenia Risk

An online data repository accompanies the manuscript 'Changes in patterns of age-related network connectivity are associated with risk for schizophrenia'. The dataset was created by a large international research consortium including the University of Bari Aldo Moro, Georgia State University, and the Lieber Institute for Brain Development. It likely contains neuroimaging data related to brain network connectivity across different age groups and risk profiles for schizophrenia.

Use Cases

• Modeling age-related changes in brain connectivity based on neuroimaging data mentioned in the description
• Investigating biomarkers for schizophrenia risk based on network connectivity patterns
• Developing predictive models for psychosis risk using inferred brain graph features

Strengths

• Data is associated with a published, peer-reviewed manuscript providing scientific context.
• Created by a large, multi-institutional research consortium, suggesting collaborative rigor.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

PapersWithCode repository accompanying a manuscript by Passiatore et al.

Collection Method

Likely collected via neuroimaging studies as part of the Apulian Network on Risk for Psychosis and other collaborating institutions.

Geography

Data collection involved institutions in Italy, the United States, and Germany.