McNally2017 - Co-morbid obsessive-compulsive disorder and depression, a Bayesian network approach §

• Type:#article
• Year read:#read2021
• Subject: OCD Depression Network theory
• Bibtex: @mcnally2017
• Bibliography: McNally, R. J., Mair, P., Mugno, B. L., & Riemann, B. C. (2017). Co-morbid obsessive-compulsive disorder and depression: A Bayesian network approach. Psychol. Med., 47(7), 1204–1214. https://doi.org/10.1017/S0033291716003287

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Example citation §

In a Bayesian network of OCD and depression, distress from obsessions acted as a bridge symptom between OCD and depression, activating sadness and subsequently the rest of the depressive cluster [@mcnally2017].

Key takeaways §

• Patients with primary OCD and depressive symptoms, n = 408
• Y-BOCS-SR and Quick Inventory of Depressive Symptomatology (QIDS-SR)
• Graphical LASSO algorithm and DAG using a Bayesian network approach
• Interference & distress from obsessions, and interference from compulsions are most central in OCD
• Distress from obsessions -> Sadness -> rest of depression cluster (bridge symptom) in DAG

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