NCT03424967

Statistical Learning as a Predictor of Attention Bias Modification Outcome

Statistical Learning as a Predictor of Attention Bias Modification Outcome: a Preliminary Study Among Socially Anxious Patients

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 30 (actual)
• Sponsor: Tel Aviv University · Academic / Other
• Sex: All
• Age: 18 Years – 65 Years
• Healthy volunteers: Not accepted

Summary

This study examines whether the ability to extract statistical properties from the environment among treatment-seeking patients with social anxiety disorder can predict therapeutic response to attention bias modification (ABM), namely, reduction in symptoms of social anxiety following ABM therapy.

Detailed description

All participants received 6 sessions of ABM therapy away from threat. At baseline participants also completed a gold standard statistical learning task aimed to assess participants' capacity for the extraction of statistical regularity from the environment. The aim of the study is to determine whether the basic ability to extract rules from the environment at baseline could predict clinical improvement of social anxiety symptoms.

Conditions

• Social Anxiety Disorder

Interventions

Type	Name	Description
BEHAVIORAL	ABM	Participants are trained with a dot-probe task including angry-neutral faces. In 80% of trials the probe appears in place of the neutral face, and in 20% of trials in place of the angry face.

Timeline

• Start date: 2016-08-02
• Primary completion: 2017-06-12
• Completion: 2017-06-12
• First posted: 2018-02-07
• Last updated: 2018-02-07

Locations

1 site across 1 country: Israel