Literature DB >> 30408271

A neuromarker of clinical outcome in attention bias modification therapy for social anxiety disorder.

Gal Arad1, Rany Abend2, Daniel S Pine2, Yair Bar-Haim1,3.   

Abstract

BACKGROUND: Attention bias modification (ABM) therapy aims to modify threat-related attention patterns via computerized tasks. Despite showing medium clinical effect sizes for anxiety disorders, underlying neural-cognitive mechanisms of change remain unclear. We used visual mismatch negativity (vMMN), an event-related potential sensitive to violations of learned statistical contingencies, to assess therapy-related contingency extraction processes in healthy participants and in patients with social anxiety disorder (SAD). We then assessed whether vMMN amplitude predicts ABM treatment outcome.
METHODS: A modified version of the dot-probe task was used to elicit vMMN, in which 80% of trials were standard and 20% were deviant. In study 1, 30 healthy adults were randomly assigned to one of two ABM conditions: one in which threat-congruent targets were deviant trials and threat-incongruent targets were standard trials, and another in which the contingency was reversed. Electroencephalography (EEG) was continuously measured and vMMN analyzed. In study 2, 38 patients with SAD underwent six sessions of ABM therapy. We tested whether rule extraction in the ABM task, indicated by vMMN amplitude, predicts treatment outcome.
RESULTS: vMMN clearly emerged over prespecified scalp locations indicating contingency extraction during ABM (study 1). vMMN amplitude predicted clinical improvement after ABM therapy, uniquely accounting for 7% and 14.4% of the variance in clinician-rated and self-reported posttreatment SAD symptoms, respectively.
CONCLUSIONS: vMMN emerges as a neural marker for contingency learning in ABM, suggesting a significant role for contingency extraction processes in the clinical efficacy of this therapy.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  anxiety; attention bias; attention bias modification; electroencephalography; social anxiety disorder; visual mismatch negativity

Mesh:

Year:  2018        PMID: 30408271      PMCID: PMC7643035          DOI: 10.1002/da.22858

Source DB:  PubMed          Journal:  Depress Anxiety        ISSN: 1091-4269            Impact factor:   6.505


  52 in total

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2.  Functional characterization of mismatch negativity to a visual stimulus.

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3.  Complementary Features of Attention Bias Modification Therapy and Cognitive-Behavioral Therapy in Pediatric Anxiety Disorders.

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Review 4.  Visual mismatch negativity and its importance in visual cognitive sciences.

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5.  Attentional bias in emotional disorders.

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Review 6.  Eye tracking of attention in the affective disorders: a meta-analytic review and synthesis.

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7.  Attention bias modification treatment: a meta-analysis toward the establishment of novel treatment for anxiety.

Authors:  Yuko Hakamata; Shmuel Lissek; Yair Bar-Haim; Jennifer C Britton; Nathan A Fox; Ellen Leibenluft; Monique Ernst; Daniel S Pine
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8.  Attention bias modification reduces neural correlates of response monitoring.

Authors:  Brady D Nelson; Felicia Jackson; Nader Amir; Greg Hajcak
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9.  Learning to attend to threat accelerates and enhances memory consolidation.

Authors:  Rany Abend; Avi Karni; Avi Sadeh; Nathan A Fox; Daniel S Pine; Yair Bar-Haim
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Review 10.  The mismatch negativity: a review of underlying mechanisms.

Authors:  Marta I Garrido; James M Kilner; Klaas E Stephan; Karl J Friston
Journal:  Clin Neurophysiol       Date:  2009-01-31       Impact factor: 3.708

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  2 in total

1.  Brain structure changes induced by attention bias modification training.

Authors:  Rany Abend; Ariel Rosenfelder; Dana Shamai; Daniel S Pine; Ido Tavor; Yaniv Assaf; Yair Bar-Haim
Journal:  Biol Psychol       Date:  2019-07-25       Impact factor: 3.251

2.  Does attention bias modification reduce anxiety in socially anxious college students? An experimental study of potential moderators and considerations for implementation.

Authors:  Klavdia Neophytou; Georgia Panayiotou
Journal:  PLoS One       Date:  2022-02-25       Impact factor: 3.240

  2 in total

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