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Statistical Learning as a Predictor of Attention Bias Modification Outcome

NCT03424967 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30

Last updated 2018-02-07

No results posted yet for this study

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.

Conditions

Interventions

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.

Sponsors & Collaborators

  • Tel Aviv University

    lead OTHER

Principal Investigators

  • Yair Bar-Haim, PhD · Tel Aviv University

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-08-02
Primary Completion
2017-06-12
Completion
2017-06-12

Countries

  • Israel

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03424967 on ClinicalTrials.gov