Skip to main content

Welkom bij Scalda & Bohn Stafleu van Loghum

Scalda heeft ervoor gezorgd dat je Mijn BSL eenvoudig en snel kunt raadplegen.Je kunt de producten hieronder links aanschaffen en rechts inloggen.

Registreer

Schaf de BSL Academy aan: 

BSL Academy mbo AG

Eenmaal aangeschaft kun je thuis, of waar ook ter wereld toegang krijgen tot Mijn BSL.

Heb je een vraag, neem dan contact op met Jan van der Velden.

Login

Als u al geregistreerd bent, hoeft u alleen maar in te loggen om onbeperkt toegang te krijgen tot Mijn BSL.

Top
Gepubliceerd in:

Open Access 24-08-2024

Social Anxiety is Related to Worse Recognition Memory of Angry Faces

Auteurs: Ashley E. Keith, Hannah C. Hamrick, Matt R. Judah, Darya Zabelina

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 4/2024

share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
insite
ZOEKEN

Abstract

Many studies have examined attention biases as a risk factor of social anxiety disorder (SAD). Fewer studies have examined biases in memory, and the results are discrepant. Because memory depends on attention, it is possible that memory biases depend on whether stimuli are attended, such as when they are task-relevant. The aim of the present study was to investigate how social anxiety is associated with biased recognition memory of threatening social stimuli. Participants (N = 159) completed a task in which a semi-transparent face and house spatially overlapped. Participants were cued to identify the gender of the face or whether the house had a deck. 50% of the faces expressed anger, and 50% were neutral. Participants then completed a surprise recognition memory test. Social anxiety was associated with worse recognition of angry faces, but not neutral faces, regardless of whether the trial required them to attend to the face or the house. The finding did not hold for a broader measure of anxiety. Additionally, recognition memory of neutral faces was worse when they were not task-relevant, regardless of social anxiety. The results suggest that reduced memory of angry facial expressions is associated with social anxiety. Support was not found for the dependence of this bias on attention.
Opmerkingen

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Cognitive biases are major factors underlying social anxiety disorder (SAD; Hirsch & Clark, 2004). These biases include heightened attention to social threats (Kim et al., 2018), perception of negative evaluation from others (Chen et al., 2020), and negatively biased memory of social experiences (Krans et al., 2014). Theories propose that cognitive biases are important in constructing expectations that rejection is likely, thereby maintaining social anxiety (Clark & Wells, 1995). Research has focused on attention and interpretation biases, showing that socially anxious individuals preferentially attend to perceived sources of social threat, such as angry faces (Kim et al., 2018), and interpret neutral or ambiguous social cues as negative (Chen et al., 2020). Fewer studies have investigated biased memory related to social anxiety, and those studies have achieved conflicting results. The relative lack of research on memory biases has led to a gap in understanding their potential role in social anxiety.
Most studies of memory biases have examined autobiographical memory (Krans et al., 2014), memory of social feedback (Caouette et al., 2015) or prose passages (Wenzel & Holt, 2002), or working memory for threatening words or faces (Segal et al., 2015). Working memory research suggests that socially anxious individuals have better working memory capacity for social threat words than neutral words (Amir & Bomyea, 2011; Yoon et al., 2017) and may have biased working memory maintenance of socially threatening faces (Judah et al., 2016). Among the few studies that have tested recognition memory bias for facial expressions, findings have been equivocal. Foa and colleagues (2000) found that patients with SAD displayed better recognition memory for angry and disgust expressions compared to happy and neutral expressions. In contrast, LeMoult and Joormann (2012) found that people with SAD had worse recognition memory of angry faces, but not other emotional faces, compared to healthy controls. Similarly, Leung and colleagues (2022) found that social anxiety was correlated with worse memory for angry faces compared to happy faces. Another study did not find any difference between people with SAD and controls in recognition of angry faces, despite evidence of an attentional bias to angry faces among participants with SAD (Hagemann et al., 2016). Discrepant memory bias findings suggest a need to examine potential moderators. Based on the dependence of memory on attention (Chun & Turk-Browne, 2007), it is possible that biased memory of socially threatening stimuli depends on whether they are the focus of attention.
As is the case with memory bias research, findings regarding attention to socially threatening stimuli are mixed (Bantin et al., 2016; Bockstaele et al., 2018). Studies typically examine attention to visual images of faces with socially threatening expressions, such as angry faces, in comparison to neutral stimuli, such as expressionless faces (Buckner et al., 2010). Some studies suggest that socially anxious individuals attend more to threatening social stimuli, such as angry facial expressions (Heeren & McNally, 2016; Reutter et al., 2017; Wieser et al., 2018), but others suggest avoidance (Mansell et al., 1999; Wermes et al., 2018). This may be due to variations in attention over time (Dong et al., 2020), symptom severity (McTeague et al., 2018), task characteristics and conditions (Bantin et al., 2016; Judah et al., 2013, 2016), comorbid symptoms (Kishimoto et al., 2021; Singh et al., 2015), and the ability to filter out processing of social threat that is not task-relevant (Yuan et al., 2021). Given the dependence of memory on attention and the diverse and complex results in the attention bias literature, it is possible that the mixed findings in memory bias research are due to lack of control over attention in past studies. Although it is not possible to fully manipulate attention, memory biases to threatening faces can be examined in conditions where the faces are task-relevant compared to when they are not. Given past research suggesting that socially anxious individuals attend to task-irrelevant information associated with social threat (Yuan et al., 2021), there is a need to test how memory biases may depend on the relevance of stimuli to the task in order to improve understanding of memory biases related to social anxiety and how they may be dependent on attention.
The present study tested the association of social anxiety with memory bias towards socially threatening stimuli in conditions where the stimuli were task-relevant and task-irrelevant. Participants completed a two-part Face-House task, in which they viewed a series of images comprised of a semi-transparent face spatially overlapped with a semi-transparent house. Participants were cued to make a judgement about either the gender of the face or whether the house had a porch. This design controlled which stimulus was task-relevant (i.e., cued images were task-relevant stimuli, and uncued images constituted task-irrelevant). 50% of the faces expressed an emotion of anger, and 50% were neutral faces. Afterwards, participants completed a surprise recognition memory task of the stimuli. Participants also completed a measure of social anxiety and a measure of anxiety.
Due to the conflicting nature of the previous research, two opposing sets of hypotheses were tested. Based on previous research showing that individuals with SAD tend to fixate on social stimuli, even when irrelevant to the ongoing task (Buckner et al., 2010), it was expected that, overall, social anxiety would be associated with better memory for faces (vs. houses). It was also expected that social anxiety would be linked with better memory for angry (vs. neutral) faces on the Face-House task, on account of the research showing that individuals with SAD have a more difficult time disengaging from threatening social stimuli (Kim et al., 2018). Conversely, when considering the previous work showing that individuals with SAD tend to exhibit avoidance of attending to eyes (Günther et al., 2021), it was expected that social anxiety would be associated with worse memory for faces (vs. houses) on the Face-House task. Furthermore, it was also expected that social anxiety would be linked with worse memory for angry (vs. neutral) faces on the Face-House task, because of a tendency to avoid paying attention to emotional faces (Mansell et al., 1999). Analyses were also conducted with anxiety in place of social anxiety to determine whether any findings were specific to social anxiety.

Method

Participants

Power analysis using GPower (v. 3.1) determined that 79 participants would be needed to achieve power of 0.90, alpha = 0.05, to detect a Cohen’s d of 0.76, an effect size observed in a similar study (Silvia et al., 2006). Participants were recruited from students at a large Southern university who received research credit for courses as compensation for participation. There were 159 participants (59 men, 99 women, 1 who identified as another gender), ranging in age from 18 to 38 (M = 19.57, SD = 2.32). There were 139 White/Caucasian participants, 10 Latino/Latina, 4 Black/African American/African, three Asian/Asian American, two American Indian/Native American/Alaska Native, and one Middle Eastern/Arab participant. Participants received class credit for their participation in one 60-minute session administered online. The study was approved by the Institutional Review Board, and all participants provided written informed consent before beginning the study.

Materials

The Social Interaction Anxiety Scale-Straightforward (SIAS-S; Rodebaugh et al., 2011) is a revised version of the SIAS (Mattick & Clarke, 1998) that excludes the reverse-worded items, which detract from the validity of the total score. The SIAS-S consists of 17 statements endorsing anxiety in social situations. Participants indicate to what degree each statement describes themselves on a scale of 0 (not at all) to 4 (extremely). Example items include “I get nervous if I have to speak with someone in authority (teacher, boss, etc.)” and “I have difficulty making eye contact with others.” In the current study, internal consistency was high, α = 0.93.
The Depression, Anxiety, and Stress Scale-21 (DASS-21; Lovibond & Lovibond, 1995) consists of three scales that assess symptoms of depressed mood, anxiety, and stress over the last week. Responses are provided on a scale of 0 (did not apply to me at all) to 3 = (applied to me very much, or most of the time). The anxiety subscale consists of seven items (e.g., “I felt scared without any good reason”). Internal consistency was high in this study, α = 0.83.
The Face/House Task consisted of two parts. In Part 1, participants viewed a series of 80 overlapped images. Twenty of these images were of a house with a deck overlapped with a neutral face, 20 were of a house with no deck overlapped with a neutral face, 20 were of a house with a deck overlapped with an angry face, and 20 were of a house with no deck overlapped with an angry face (see Fig. 1). There were 10 male and 10 female faces for each of the previously listed categories. The images appeared individually. While each of the overlapped images were on the screen, participants were asked either one of two questions: “Is this face male or female?” or “Does this house have a deck?” which served as a cue to either pay attention to the face or the house, thus making the cued image a task-relevant stimulus and the uncued image a task-irrelevant stimulus. The images remained on the screen until participants provided their response.
Part 2 was a surprise memory task in which participants were asked to recall houses and faces from Part 1, now presented individually rather than overlapped. There were 60 “old” stimuli (presented during Part 1): 20 houses that had previously been overlapped with a face (10 neutral and 10 angry), 20 neutral faces (10 male and 10 female) that had previously been overlapped with a house, and 20 angry faces (10 male and 10 female) that had previously been overlapped with a house. Of these, 50% were task-relevant images, and 50% were task-irrelevant images.
There were also 40 new stimuli (that the participant has never seen before): 20 houses (10 with a deck and 10 with no deck), and 20 faces (10 male and 10 female). For each image, participants were asked “Did you see this picture before?” and used their mouse to answer “yes” or “no” on the screen. D′ values were calculated for all variables of interest on the Face/House task. A higher d′ indicates better performance on the task, i.e., better recognition for the previously seen (old) stimuli, and correct rejection of the previously not seen (new) stimuli.

Procedure

The study was administered online via Qualtrics. After giving informed consent, participants read instructions for Part 1 of the Face/House Task and completed two practice trials, followed by the experimental trials of the Face/House Task. After completing Part 1, participants read instructions for Part 2 of the Face/House Task and completed it. Participants then completed the self-report measures.

Face/House Task Performance

On most trials, participants correctly identified whether faces were male or female (M = 97.26%, SD 0.03%, range: 88–100%) and whether houses had decks (M = 95.95%, SD = 0.05%, range: 72 − 100%). The recognition hit rate was 0.72 (SD = 0.13) for houses and 0.49 (SD = 0.17) for faces. The recognition false alarm rate was 0.66 (SD = 0.14) for houses and 0.34 (SD = 0.17) for faces.

Analytic Strategy

Linear mixed modeling was performed with the R (version 4.1.2; R Core Team, 2021) package lme4 (Bates et al., 2015) using maximum likelihood estimation. Participants were modeled as random effects. The lmerTest package (Kuznetsova et al., 2017) was used to calculate p-values based on Satterthwaite’s approximation for degrees of freedom. Influential statistical outliers were identified using the procedures outlined in Van der Meer et al. (2010)1. Social anxiety, indicated by the total score of the SIAS-S, was included as a continuous predictor of d′. Facial emotion was modeled as a two-level factor (i.e., angry face versus neutral face). Image focus was also included as a two-level factor (i.e., face in focus versus house in focus). Interactions involving social anxiety were probed using simple slopes analysis (Aiken & West, 1991). To differentiate the effects of social anxiety from those of the broader construct of anxiety, analyses were repeated using DASS-21 anxiety subscale (Antony et al., 1998). The models were specified as follows:
d′ ~ social anxiety * facial emotion * image focus + (1 | subject).
d′ ~ anxiety* facial emotion * image focus + (1 | subject).

Results

In the social anxiety model, the main effect of image focus was significant, t(471) = -2.00, p = .046. Recognition memory was better for task-relevant faces (M = 0.55, 95% CI [0.49, 0.61]) than task-relevant houses (M = 0.47, 95% CI [0.39, 0.56]). There was also a significant main effect of facial emotion, t(471) = -2.51, p = .013. Memory for neutral faces (M = 0.61, 95% CI [0.53, 0.70]) was better than memory for angry faces (M = 0.55, 95% CI [0.49, 0.61]). These main effects were qualified by an interaction between image focus and facial emotion, t(471) = -2.49, p = .013 (see Fig. 2). Memory for neutral faces (M = 0.61, 0.95% CI [0.53, 0.71]) was better than memory for angry faces (M = 0 0.55, 95% CI [0.49, 0.61]) in the face-focused condition. Conversely, memory for angry faces (M = 0.47, 95% CI [0.39, 0.56]) was better than memory for neutral faces (M = 0.31, 95% CI [0.21, 0.45]) in the house-focused condition. Facial emotion also significantly interacted with social anxiety, t(471) = 2.22, p = .027, such that memory of angry faces was worse at high (+ 1 SD) levels of social anxiety (M = 0.44, 95% CI [0.33, 0.54]) than it was for low (-1 SD) levels of social anxiety (M = 0.59, 95% CI [0.49, 0.69]). Memory of neutral faces was similar at high (+ 1 SD) levels of social anxiety (M = 0.48, 95% CI [0.38, 0.59]) and low (-1 SD) levels of social anxiety (M = 0.44, 95% CI [0.33, 0.54]; see Fig. 3). The three-way interaction between image focus, facial emotion, and social anxiety was not significant, t(471) = 1.42, p = .157, nor was the main effect of social anxiety, t(157) = -0.92, p = .360.
The model was tested again with anxiety in place of social anxiety. The main effect of image focus was significant, t(471) = -3.12, p = .002, and there was a marginally significant interaction between facial emotion and image focus, t(471) = -1.95, p = .051, both effects resembling those of the social anxiety model. The main effect of facial emotion was not significant, t(471) = -0.87, p = .386, nor was the interaction of facial emotion with anxiety, t(471) = 0.20, p = .845. The three-way interaction between image focus, facial emotion, and anxiety was not significant, t(471) = 0.51, p = .608, nor was the main effect of anxiety, t(157) = 0.03, p = .977.

Discussion

This study adds to the understanding of memory biases related to social anxiety, a topic that has been investigated much less than other information processing biases related to social anxiety. We found that social anxiety was associated with worse recognition memory for angry faces. This effect was specific to social anxiety, as indicated by the lack of an effect when anxiety was tested in place of social anxiety. The effect was not dependent on whether the faces were the focus of the task, supporting past findings indicating reduced processing or avoidance of social threat in socially anxious individuals (Wermes et al., 2018). The result is contrary to the view that social anxiety is associated with information processing biases toward stimuli representing social threat (Morrison & Heimberg, 2013) and a study that suggested better recognition memory for angry and disgust faces in socially anxious patients (Foa et al., 2000). Instead, the results are in accord with findings suggesting that social anxiety is related to avoidance of processing social threat (Mansell et al., 1999). Among memory bias studies, the findings align those that have found social anxiety to be related to worse memory for angry faces (LeMoult & Joormann, 2012; Leung et al., 2022). Our findings build upon these studies by suggesting that the effect is not dependent upon the task-relevance of the faces. The evaluation of the simple slopes suggests the effect is due to social anxiety being related to reduced memory of angry faces rather than better memory for neutral faces. Although some studies have suggested attentional avoidance of neutral faces may be related to social anxiety (Stevens et al., 2014), we did not see evidence of this in recognition memory.
The present results support the idea that memory biases may be a contributing factor in the perpetuation of social anxiety symptoms. As noted earlier, previous research has revealed that social anxiety may be associated with reduced processing of threatening social stimuli (Mansell et al., 1999) and reduced memory recall of socially threatening material (Wenzel & Holt, 2002). Together with this literature, our study supports social anxiety being related to reduced processing of socially threatening faces. Though avoidance of processing threatening stimuli may temporarily relieve some symptoms of anxiety, attending less to social cues reduces opportunities to correct one’s perceptions of others and to see a social interaction as less threatening. Thus, individuals may benefit by interventions that develop the ability to maintain attention to perceived threats to allow for reappraisal (Bögels & Mansell, 2004).
In addition to our findings involving social anxiety, we observed that memory of neutral faces, but not angry faces, was worse when the task required attention to be focused on houses. This is consistent with evidence that threatening stimuli are more difficult to ignore (Fox et al., 2001). However, the findings are somewhat inconsistent with studies using a similar paradigm (i.e., spatially overlapping faces and scenes) that found no evidence of recognition above chance levels for task-irrelevant stimuli (Yi & Chun, 2005; Yi et al., 2006). Although our paradigm was similar, our study differed in that d′ was used rather than hit rate or ratings of confidence in having seen the image previously. The confidence intervals of our d′ values suggest at least some memory storage of task-irrelevant stimuli, both houses and faces, in our task. Further research is needed to better understand how task-irrelevant stimuli are processed.
Our conclusions are limited by several aspects of the study design. Using a non-clinical sample has the advantage of studying social anxiety continuously, which aligns with dimensional perspectives of psychopathology. But it limits what conclusions can be drawn about the general population or clinical populations. The cross-sectional design precludes conclusions about causality. Additionally, the administration of the study online, due to the circumstances of the COVID-19 pandemic, is less controlled than if the study had been administered in a laboratory. There is a need for future research to address these limitations and to further this line of research. For example, including positive social cues, such as happy facial expressions, may be important for understanding memory of social cues more broadly.
In summary, our findings advance the understanding of memory biases related to social anxiety, suggesting that social anxiety is associated with worse recognition memory of angry facial expressions than neutral facial expressions. The bias was not dependent on the relevance of the face to the task, suggesting that the bias is not dependent on goal-oriented attention. Additional research is needed to better understand memory biases related to social anxiety and how they relate to other cognitive biases (Hirsch et al., 2006).

Declarations

Ethical Approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Institutional Review Board at the University of Arkansas.
All participants provided informed consent prior to participation.
All participants provided consent to publish their data.

Competing Interests

The authors have no financial or non-financial interests to report.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Onze productaanbevelingen

BSL Psychologie Totaal

Met BSL Psychologie Totaal blijf je als professional steeds op de hoogte van de nieuwste ontwikkelingen binnen jouw vak. Met het online abonnement heb je toegang tot een groot aantal boeken, protocollen, vaktijdschriften en e-learnings op het gebied van psychologie en psychiatrie. Zo kun je op je gemak en wanneer het jou het beste uitkomt verdiepen in jouw vakgebied.

BSL Academy Accare GGZ collective

BSL GOP_opleiding GZ-psycholoog

Voetnoten
1
One influential outlier was detected. Analyses were repeated with the outlier winsorized at the 5th percentile. The significance and direction of the results remained unchanged.
 
Literatuur
go back to reference Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage.
go back to reference Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological Assessment, 10(2), 176–181. https://doi.org/10.1037/1040-3590.10.2.176 Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological Assessment, 10(2), 176–181. https://​doi.​org/​10.​1037/​1040-3590.​10.​2.​176
go back to reference Clark, D. M., & Wells, A. (1995). A cognitive model of social phobia. In R. Heimberg, M. Liebowitz, D. A. Hope, & F. R. Schneier (Eds.), Social phobia: Diagnosis, assessment and treatment (pp. 69–93). The Guilford Press. Clark, D. M., & Wells, A. (1995). A cognitive model of social phobia. In R. Heimberg, M. Liebowitz, D. A. Hope, & F. R. Schneier (Eds.), Social phobia: Diagnosis, assessment and treatment (pp. 69–93). The Guilford Press.
go back to reference Foa, E. B., Gilboa-Schechtman, E., Amir, N., & Freshman, M. (2000). Memory bias in generalized social phobia: Remembering negative emotional expressions. Journal of Anxiety Disorders, 14(5), 501–519. https://doi.org/610.1016/S0887-6185(00)00036-0. Foa, E. B., Gilboa-Schechtman, E., Amir, N., & Freshman, M. (2000). Memory bias in generalized social phobia: Remembering negative emotional expressions. Journal of Anxiety Disorders, 14(5), 501–519. https://​doi.​org/​610.​1016/​S0887-6185(00)00036-0.
go back to reference Günther, V., Kropidlowski, A., Schmidt, F. M., Koelkebeck, K., Kersting, A., & Suslow, T. (2021). Attentional processes during emotional face perception in social anxiety disorder: A systematic review and meta-analysis of eye-tracking findings. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 111, 110353. https://doi.org/10.1016/j.pnpbp.2021.110353CrossRefPubMed Günther, V., Kropidlowski, A., Schmidt, F. M., Koelkebeck, K., Kersting, A., & Suslow, T. (2021). Attentional processes during emotional face perception in social anxiety disorder: A systematic review and meta-analysis of eye-tracking findings. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 111, 110353. https://​doi.​org/​10.​1016/​j.​pnpbp.​2021.​110353CrossRefPubMed
go back to reference Krans, J., de Bree, J., & Bryant, R. A. (2014). Autobiographical memory bias in social anxiety. Memory (Hove, England), 22(8), 890–897. https://doi.org/10.1080-09658211.2013.844261CrossRefPubMed Krans, J., de Bree, J., & Bryant, R. A. (2014). Autobiographical memory bias in social anxiety. Memory (Hove, England), 22(8), 890–897. https://​doi.​org/​10.​1080-09658211.​2013.​844261CrossRefPubMed
Metagegevens
Titel
Social Anxiety is Related to Worse Recognition Memory of Angry Faces
Auteurs
Ashley E. Keith
Hannah C. Hamrick
Matt R. Judah
Darya Zabelina
Publicatiedatum
24-08-2024
Uitgeverij
Springer US
Gepubliceerd in
Journal of Psychopathology and Behavioral Assessment / Uitgave 4/2024
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI
https://doi.org/10.1007/s10862-024-10162-z