AI Article Synopsis

  • A study was conducted to examine how working memory load affects attention to emotional faces in people with high social anxiety (HSA) compared to those with low social anxiety (LSA).
  • The experiment involved participants completing a flanker task while counting to manipulate their working memory load, using angry, happy, and neutral faces as targets and distractors.
  • Results indicated that HSA individuals had difficulty identifying angry faces, showing that their attentional bias operates more automatically rather than through controlled cognitive processes, regardless of working memory load.

Article Abstract

Research has confirmed that individuals with social anxiety (SA) show an attentional bias towards threat-related stimuli. However, the extent to which this attentional bias depends on top-down cognitive control processes remains controversial. The present study investigated the effect of working memory (WM) load on selective attention to emotional faces in both high social anxiety (HSA) and low social anxiety (LSA) groups by manipulating WM load through the inclusion of forward counting in multiples of two (low load) or backward counting in multiples of seven (high load) within a modified flanker task. In the flanker task, emotional faces (angry, happy, or neutral faces) were used as targets and distractors. A total of 70 participants (34 HSA participants; 36 LSA participants) completed the flanker task in the laboratory. The results showed that the HSA individuals performed worse when responding to angry targets. Relative to LSA individuals, HSA individuals showed interference from angry distractors in the flanker task, resulting in significantly lower accuracy in identifying angry targets compared to happy targets. These results were unaffected by the manipulation of WM load. The findings imply HSA individuals have impaired attentional control, and that their threat-related attentional bias relies more on the bottom-up automatic attentional process.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11169755PMC
http://dx.doi.org/10.1002/pchj.736DOI Listing

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