Category: Adult Anxiety

Symposium

Symposium 16 - Toward the Clinical Application of Cognitive Bias Modification: Addressing the Psychometric Properties of Measure

Friday, November 17
10:15 AM - 11:45 AM
Location: Sapphire Ballroom B, Level 4, Sapphire Level

Keywords: Information Processing
Presentation Type: Symposium

Cognitive Bias Modification (CBM) interventions for anxiety alter biased ways of thinking and there is clear evidence for their target engagement and clinical utility.  However, basic questions remain regarding the stability of the measures used in the CBM field.  In the current symposium we present 4 studies examining the psychometric properties of the CBM tasks both suggesting new measures and more advanced methods of using traditional measures. In the first presentation Yair Bar-Haim will present data from visual mismatch negativity (vMMN), a neural prediction-error event-related brain potential, as a neural marker for contingency learning in ABM in nonanxious participants and in patients with anxiety disorders. These researchers find vMMN in response to violations of the contingency embedded in ABM indicating learning. These findings attest to the utility of vMMN as a possible neuromarker for contingency learning in ABM in order to ensure its consistent delivery. In the second presentation Jennifer Lau will present a new measure of interpretational style that aims to capture distinct variance associated with mood and anxiety problems.  They present data from a large community sample of adolescents on the internal consistency of this new measure and its’ inter-time reliability.  In the third presentation Emily Meisselwill present data using the probe detection task.  These researchers use a novel method of scoring bias that result in four indices: vigilance, avoidance, fast disengagement, and slow disengagement. They examined these constructs in two ways: predicting intra-individual anxiety-relevant constructs and predicting anxiety within families.  Their results suggest that the internal consistency of the new measure of bias reaches acceptable levels (all αs>0.70). Moreover, novel bias indices, particularly avoidance and slow disengagement, are associated with symptoms of GAD.  In the fourth presentation Nader Amir, will present data from a larger ongoing clinical trial of ABM in 337 adolescents with and Anxiety disorders. These researchers show that the application of modern analytical techniques of data cleaning and analysis to the reaction time data results in significant improvement in bias measures in the largest study to date to examine the psychometric properties of bias in a clinical sample.  Finally, Nader Amir will provide an integrative analysis of the symposium in his role as discussant.

Learning Objectives:

Nader Amir

Professor
San Diego State University

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Jennifer Lau

Reader
Kings College London

Presentation(s):

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Yair Bar-Haim

Tel Aviv University

Presentation(s):

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Emily Meissel

University of Illinois at Chicago

Presentation(s):

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Nader Amir

Professor
San Diego State University

Presentation(s):

Send Email for Nader Amir


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