Visual search attentional bias modification reduced the attentional bias in socially anxious individuals

Recent years have raised questions about the effectiveness of attentional bias modification (ABM) in individuals with social anxiety. In the current study, we employed a novel training method-ABM-positive-search training-to modify attentional bias in socially anxious individuals. The attentional bias was measured using the dot-probe task, and brain electrical activity was recorded. The ABM-positive-search group was instructed to search for a happy face in a 3 × 3 visual array. The placebo control group was asked to find out whether the only male from the female or the only female from the male. In terms of behavioral indicators, the results showed a significant reduction in the variability of trial level-bias score (TL-BS) in the ABM-positive-search group post-training. However, there was no significant change observed in the placebo control group. The electrophysiological results were consistent with the behavioral findings. To be specific, both groups displayed the N2pc effect in response to threatening faces before the training. After training, the N2pc effect disappeared in the ABM-positive search group, while it remained in the placebo control group. In conclusion, ABM-positive-search training can effectively modify the attentional bias of socially anxious individuals, and cognitive control plays an important role in this process.

Authors

Institutions

Publication Details

Journal
Psychophysiology
Published
2024-11-11
DOI
https://doi.org/10.1111/psyp.14724
Citations
2
Primary Topic
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Type
article
Field-Weighted Citation Impact
1.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Visual search attentional bias modification reduced the attentional bias in socially anxious individuals

Lixia Cui, Qin Zhang, Guangyuan Shi, Jing Yuan
2 citations
Psychophysiology
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
1.02
article

Visual search attentional bias modification reduced the attentional bias in socially anxious individuals

Lixia Cui, Qin Zhang, Guangyuan Shi, Jing Yuan
article en
2 citations

Abstract

Recent years have raised questions about the effectiveness of attentional bias modification (ABM) in individuals with social anxiety. In the current study, we employed a novel training method-ABM-positive-search training-to modify attentional bias in socially anxious individuals. The attentional bias was measured using the dot-probe task, and brain electrical activity was recorded. The ABM-positive-search group was instructed to search for a happy face in a 3 × 3 visual array. The placebo control group was asked to find out whether the only male from the female or the only female from the male. In terms of behavioral indicators, the results showed a significant reduction in the variability of trial level-bias score (TL-BS) in the ABM-positive-search group post-training. However, there was no significant change observed in the placebo control group. The electrophysiological results were consistent with the behavioral findings. To be specific, both groups displayed the N2pc effect in response to threatening faces before the training. After training, the N2pc effect disappeared in the ABM-positive search group, while it remained in the placebo control group. In conclusion, ABM-positive-search training can effectively modify the attentional bias of socially anxious individuals, and cognitive control plays an important role in this process.

PsychophysiologyVol. 62(1)
Hebei University (CN), Capital Normal University (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 20%
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
1.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.