Evidence map›Paper›PMID 38134499›Full record

ArticleBehaviour research and therapy2024

Attentional heterogeneity in social anxiety disorder: Evidence from Hidden Markov Models.

Mikael Rubin, Karl Muller, Mary M Hayhoe, Michael J Telch

Abstract read
In one paragraph

Article in Behaviour research and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mikael RubinDepartment of Psychology, The University of Texas at Austin, TX, USA; Department of Psychology, Palo Alto University, CA, USA. Electronic address: mrubin@paloaltou.edu.
Karl MullerCenter for Perceptual Systems, The University of Texas at Austin, TX, USA.
Mary M HayhoeCenter for Perceptual Systems, The University of Texas at Austin, TX, USA.
Michael J TelchDepartment of Psychology, The University of Texas at Austin, TX, USA.

Funding

Efficacy of an attention guidance VR intervention for social anxiety disorder.F31MH118784 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI RUBIN, MIKAEL · 2018 to 2021
$113k
NIMH NIH HHS F31 MH118784
6 · The paper itself

Abstract

There is some evidence for heterogeneity in attentional processes among individuals with social anxiety. However, there is limited work considering how attentional processes may differ as a mechanism in a naturalistic task-based context (e.g., public speaking). In this secondary analysis we tested attentional heterogeneity among individuals diagnosed with social anxiety disorder (N = 21) in the context of a virtual reality exposure treatment study. Participants completed a public speaking challenge in an immersive 360°-video virtual reality environment with eye tracking at pre-treatment, post-treatment, and at 1-week follow-up. Using a Hidden Markov Model (HMM) approach with clustering we tested whether there were distinct profiles of attention pre-treatment and whether there were changes following the intervention. As a secondary aim we tested whether the distinct attentional profiles at pre-treatment predicted differential treatment outcomes. We found two distinct attentional profiles pre-treatment that we characterized as audience-focused and audience-avoidant. However, by the 1-week follow-up the two profiles were no longer meaningfully different. We found a meaningful difference between HMM groups for fear of public speaking at post-treatment b = -8.54, 95% Highest Density Interval (HDI) [-16.00, -0.90], Bayes Factor (BF) = 8.31 but not at one-week follow-up b = -5.83, 95% HDI [-13.25, 1.81], BF = 2.28. These findings provide support for heterogeneity in attentional processes among socially anxious individuals, but our findings indicate that this may change following treatment. Moreover, our results offer preliminary mechanistic evidence that patterns of avoidance may be specifically related to poorer treatment outcomes for virtual reality exposure therapy.

Indexed as

Phobia, SocialPhobic DisordersAnxietyAttentionBayes TheoremHumansEye trackingHidden markov modelsSocial anxietyVirtual reality

Identifiers

PMID38134499
PMCPMC10872338

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.