Evidence map›Paper›PMID 32115652›Full record

ArticleSocial cognitive and affective neuroscience2019

The altered early components and the decisive later process underlying attention bias modification in social anxiety: evidence from event-related potentials.

Dong-Ni Pan, Yi Wang, Zheng Lei, Yang Wang, Xuebing Li

Abstract read
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Article in Social cognitive and affective neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Trial
  2. Effects of attention bias modification for anxiety: Neurophysiological indices and moderation by symptom severity.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Dong-Ni PanKey Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Yi WangKey Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Zheng LeiKey Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Yang WangKey Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Xuebing LiKey Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attention bias modification (ABM) is a potential intervention in relieving social anxiety symptoms, while its underlying neural mechanisms are not yet understood. The current study included 63 college students with social anxiety. Participants were assigned to the attention modification program (AMP, n = 20), the attention control condition (ACC, n = 20) and the passive waiting group (PW, n = 23). Questionnaires and the emotional Stroop task with EEG recordings were used to assess whether and how the 4-week ABM period affected emotional symptoms and specific emotional processing. Results showed that the two training groups (AMP and ACC) produced comparable emotional improvements and both showed a decrease in negative bias compared with the PW group. The ERP results indicated that despite no significant ERP changes in the PW group, the ACC group exhibited a greater N1, whereas the AMP group exhibited a reduced VPP at the post-test stage compared to the pre-test stage. Besides, both training groups showed a similar late positive potential (LPP) reduction. Notably, the reduction in LPP was positively correlated with behavioral and symptom improvement. Thus, manipulations unique to ABM (face-target contingency) primarily modulate the early attention distribution of material-related stimuli. However, the clinical benefits of attention training may be due to later cognitive-affective mechanisms.

Indexed as

Evoked PotentialsAdolescentAdultAnxietyAttentional BiasBiasEmotionsFaceFemaleHumansMaleYoung AdultAttention bias modificationevent-related potentialsinterpretation biassocial anxietytransfer effect

Identifiers

PMID32115652
PMCPMC7137723

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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.