Obsessive-Compulsive Disorder Symptom Network Analysis from 528 Patients

528 patients with obsessive-compulsive disorder (OCD) were included in a study analyzing symptom networks. The dataset likely contains scores from the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), Symptom Checklist-90 (SCL-90), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). It was authored by Lianlian Xu and last updated on May 18, 2026.

Use Cases

• Identify central symptom nodes based on centrality indicators like betweenness and strength.
• Analyze bridge nodes linking obsessive-compulsive symptoms to thought-perceptual disturbances.
• Model malignant symptom loops such as 'obsessive interference – collapse of metacognitive evaluation'.
• Explore the role of metacognitive mediators like 'Brain not right' and loneliness in maintaining network activation.

Strengths

• Dataset includes 528 patient records, providing a substantial clinical sample.
• Analysis is based on multiple validated clinical scales (Y-BOCS, SCL-90, SAS, SDS).
• The study identifies specific core nodes and bridge nodes with high centrality metrics.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (89.0 KB), indicating limited scope or aggregated summary data.

Provenance

Source

figshare

Collection Method

Clinical study of 528 OCD patients using standardized symptom scales.

Freshness

Last updated 2026-05-18 05:31:25; freshness should be verified.