Metacognitive Therapy Versus Cognitive Behavioral Therapy:A Network Approach

Area of Science:

• Psychology
• Psychiatry
• Network Science

Background:

• Mental health diagnoses traditionally use a latent variable perspective.
• A network perspective views diagnoses as causal networks of observable symptoms.
• Few studies examine how therapies alter these symptom networks.

Purpose of the Study:

• To investigate the network structures of symptoms and mechanisms during metacognitive therapy (MCT) and cognitive behavioral therapy (CBT).
• To compare the network dynamics between MCT and CBT for comorbid anxiety disorders.
• To test hypotheses about central nodes (worry, attention, metacognition, cognitions) in each therapy.

Main Methods:

• Utilized data from a randomized controlled trial (RCT) of 74 patients with comorbid anxiety disorders.
• Employed multilevel vector autoregressive (mlVAR) modeling to analyze weekly symptom and mechanism data.
• Constructed and compared network structures for MCT and CBT groups.

Main Results:

• Identified different symptom and mechanism networks for MCT and CBT.
• Worry and attention emerged as central nodes in both therapeutic approaches.
• Negative metacognitive beliefs about uncontrollability were more central in the MCT network.

Conclusions:

• The findings support a network perspective on mental health treatment.
• Therapy type influences the structure of symptom and mechanism networks.
• Results align with the Self-Regulatory Executive Function (S-REF) model, particularly for MCT.