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Fadardi JS, Memarian S, Parkinson J, Cox WM, Stacy AW. Scary in the eye of the beholder: Attentional bias and attentional retraining for social anxiety. J Psychiatr Res 2023; 157:141-151. [PMID: 36463629 DOI: 10.1016/j.jpsychires.2022.11.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 10/20/2022] [Accepted: 11/12/2022] [Indexed: 11/21/2022]
Abstract
UNLABELLED Consistent with cognitive models of social anxiety, socially anxious individuals show cognitive biases that magnify their perceived level of threat in the environment. OBJECTIVES The first objective was to determine whether attentional bias for socially threatening stimuli occurs after concomitant depression has been controlled. The second objective was to test the effectiveness of the Attention Control Training Program for Social Anxiety (ACTP-SA) for reducing social anxiety attentional bias and improving therapeutic indices in people with social anxiety. METHOD In the first study, socially anxious (N = 30) and non-anxious individuals (N = 30) completed the Beck Depression Inventory-II, Spielberger's State-Trait Anxiety Inventory, Conner's Social Phobia Inventory, a social-anxiety Stroop test, and a clinical interview. In the second study, individuals with social anxiety (N = 30) were randomly assigned to an experimental group that received 4 sessions of ACTP-SA, or to a sham-intervention control condition. At the post-test and a 3-month follow-up, both groups completed the same measures as in Study 1. RESULTS In Study 1, socially anxious individuals showed higher attentional bias for threatening stimuli than the controls, after depression had been controlled for. In Study 2, participants in the experimental group, compared with the controls, showed greater reductions in attentional bias, social anxiety, and trait anxiety at post-test and follow-up. CONCLUSIONS The results underscore the importance of information processing biases in social anxiety and the benefits of attentional bias training as a complementary intervention for modifying symptoms of social anxiety.
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Affiliation(s)
- Javad S Fadardi
- Claremont Graduate University, United States; Bangor University, UK; Ferdowsi University of Mashhad, Iran.
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Attention and interpretation cognitive bias change: A systematic review and meta-analysis of bias modification paradigms. Behav Res Ther 2022; 157:104180. [PMID: 36037642 DOI: 10.1016/j.brat.2022.104180] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 07/29/2022] [Accepted: 08/08/2022] [Indexed: 12/15/2022]
Abstract
This systematic review and meta-analysis examines the effect of Cognitive Bias Modification for attention (CBM-A) and interpretation (CBM-I) on reducing the targeted biases and investigates moderators of each approach. PsycINFO, PsychArticles, and PubMED databases were searched for randomized-controlled studies published before March 2020 with pre- and post-CBM cognitive bias outcome measures, resulting in 91 CBM-A (n = 5914 individuals) and 70 CBM-I samples (n = 4802 individuals). Random-effects models and Hedge's g calculation showed significant medium overall effects of bias reduction with moderate to high heterogeneity (CBM-A g = 0.49 [0.36, 0.64], I2 = 85.19%; CBM-I g = 0.58 [0.48, 0.68], I2 = 70.92%). Effect sizes did not differ between approaches and remained significant after trim-and-fill adjustment for possible publication bias. Moderator variables were investigated with meta-regression and subgroup analyses. Participant age, symptom type, control condition and number of trials moderated CBM-A; student and clinical status moderated CBM-I effect size. Results support attention and interpretation modification in controlled laboratory and variable (online) training settings for non-clinical and clinical samples across various symptom types (anxiety, depression, substance use, eating disorders). Further empirical evidence is necessary to determine optimal sample and methodological combinations most strongly associated with adaptive behavioral outcomes.
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Yap D, Denefrio S, Dennis-Tiwary TA. Low working memory load facilitates attention bias modification training. Behav Res Ther 2021; 139:103828. [PMID: 33618124 DOI: 10.1016/j.brat.2021.103828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Revised: 12/27/2020] [Accepted: 02/06/2021] [Indexed: 10/22/2022]
Abstract
Implementations of attention bias modification training (ABMT) attempt to retrain attention away from rather than towards threat, thereby disrupting the anxiety-related attentional bias (AB). Yet, results of ABMT studies have been mixed due to limitations in knowledge of mechanisms underlying ABMT efficacy. Dual-process models of anxiety posit that ABMT works primarily through strengthening of the top-down cognitive control of attention to threat. If this is the case, introducing a working memory load (WML) during ABMT should reduce training efficacy. However, prior studies employing this method show mixed results (Booth, Mackintosh, Mobini, Oztop, & Nunn, 2014; Clarke et al., 2017) and fail to directly compare low and high WML with no WML or to account for individual differences in anxiety and working memory capacity (WMC). The present study (N = 306) assessed trait anxiety and WMC in neurotypical adults who were then randomly assigned to ABMT that trained attention toward or away from threat, with either no, low, or high WML, for a total of six training groups. Attentional bias was assessed before and after training. Results showed ABMT successfully trained attention under low WML, but not under high or no WML, suggesting that ABMT is facilitated by engaging but not overtaxing WML.
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Affiliation(s)
- David Yap
- Hunter College, The City University of New York, Department of Psychology, New York, NY, USA
| | - Samantha Denefrio
- Hunter College, The City University of New York, Department of Psychology, New York, NY, USA; The Graduate Center, The City University of New York, Department of Psychology, New York, NY, USA
| | - Tracy A Dennis-Tiwary
- Hunter College, The City University of New York, Department of Psychology, New York, NY, USA; The Graduate Center, The City University of New York, Department of Psychology, New York, NY, USA.
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Goodhew SC, Dawel A, Edwards M. Standardizing measurement in psychological studies: On why one second has different value in a sprint versus a marathon. Behav Res Methods 2020; 52:2338-2348. [PMID: 32342441 DOI: 10.3758/s13428-020-01383-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Here we highlight the importance of considering relative performance and the standardization of measurement in psychological research. In particular, we highlight three key analytic issues. The first is the fact that the popular method of calculating difference scores can be misleading because current approaches rely on absolute differences, neglecting what proportion of baseline performance this change reflects. We propose a simple solution of dividing absolute differences by mean levels of performance to calculate a relative measure, much like a Weber fraction from psychophysics. The second issue we raise is that there is an increasing need to compare the variability of effects across studies. The standard deviation score (SD) represents the average amount by which scores differ from their mean, but is sensitive to units, and to where a distribution lies along a measure even when the units are common. We propose two simple solutions to calculate a truly standardized SD (SSD), one for when the range of possible scores is known (e.g., scales, accuracy), and one for when it is unknown (e.g., reaction time). The third and final issue we address is the importance of considering relative performance in applying exclusion criteria to screen overly slow reaction time scores from distributions.
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Affiliation(s)
- Stephanie C Goodhew
- Research School of Psychology, The Australian National University, Canberra, 2601, Australia.
| | - Amy Dawel
- Research School of Psychology, The Australian National University, Canberra, 2601, Australia
| | - Mark Edwards
- Research School of Psychology, The Australian National University, Canberra, 2601, Australia
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The effects of left DLPFC tDCS on emotion regulation, biased attention, and emotional reactivity to negative content. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2020; 20:1323-1335. [PMID: 33123862 DOI: 10.3758/s13415-020-00840-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/07/2020] [Indexed: 12/24/2022]
Abstract
The potentiation of neural activity in lateral prefrontal regions via transcranial direct current stimulation (tDCS) can reduce patterns of biased attention for threat and may facilitate intentional emotion regulation. The current study sought to determine whether left dorsolateral prefrontal cortex tDCS, in combination with intentional down-regulation of emotional responses would reduce negative appraisals of aversive content during emotional regulation (assessed during online tDCS), reduce patterns of biased attention and attention bias variability (assessed offline), and attenuate spontaneous (uninstructed) emotional reactivity to negative content (assessed offline) above tDCS or intentional down-regulation of emotions in isolation. Healthy participants (n = 116) were allocated to one of four experimental conditions involving either active or sham tDCS, combined with an either a down-regulate or maintain emotion regulation task. Attention bias/bias variability was assessed with an attentional probe task, and emotional reactivity was assessed in a negative video viewing task. tDCS did not affect the appraisals of negative stimuli during emotion regulation, and there were no effects on attention bias/bias variability. However, tDCS did attenuate emotional reactivity. Those receiving active stimulation showed smaller elevations in negative mood in response to viewing aversive video content compared with sham. The present findings are consistent with the potential of left frontal tDCS to attenuate negative emotional reactions to aversive content but provide no support for tDCS enhancement of emotion regulation, nor its impact on attention bias or attention bias variability.
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Nuijs MD, Larsen H, Bögels SM, Wiers RW, Salemink E. Context matters: The role of subjective arousal during Attentional Bias Modification targeting socially anxious students. J Behav Ther Exp Psychiatry 2020; 68:101545. [PMID: 32171997 DOI: 10.1016/j.jbtep.2019.101545] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 08/28/2019] [Accepted: 12/15/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND AND OBJECTIVES Attentional Bias Modification (ABM) paradigms targeting anxiety aim to reduce attentional biases for threatening stimuli and thereby reduce anxiety. Based on cognitive theories of performance and learning, elevated levels of arousal during ABM might enhance its effectiveness by making training more engaging and activating fear schemas. This study investigated whether elevated levels of arousal during ABM would increase its effectiveness in reducing attentional bias, stress reactivity, and post-event processing. METHOD We randomly assigned 79 high socially anxious students to a session of ABM or control training preceded by either a social stress or control induction to manipulate arousal. Training outcomes were attentional bias, stress reactivity, and post-event processing. Subjective arousal was assessed before, during, and after training. RESULTS Results indicated that ABM was not successful in reducing attentional bias, stress reactivity or post-event processing, and that the effects of ABM were not moderated by subjective arousal. There was a trend towards ABM being more effective than control training in reducing attentional bias directly after training when participants were more aroused. However, this effect was not maintained one day after the training. LIMITATIONS The arousal manipulation did not result in significant between-group differences in subjective arousal. CONCLUSIONS This study did not provide support for the moderating role of arousal in ABM training effects. Replications with more effective mood induction procedures and more power are needed as a trend finding was observed suggesting that higher levels of arousal improved the direct ABM effects on attentional bias.
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Affiliation(s)
- M D Nuijs
- Department of Developmental Psychology, Adapt Lab, Research Priority Area Yield, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 WS, Amsterdam, the Netherlands.
| | - H Larsen
- Department of Developmental Psychology, Adapt Lab, Research Priority Area Yield, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 WS, Amsterdam, the Netherlands.
| | - S M Bögels
- Department of Developmental Psychology, Adapt Lab, Research Priority Area Yield, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 WS, Amsterdam, the Netherlands.
| | - R W Wiers
- Department of Developmental Psychology, Adapt Lab, Research Priority Area Yield, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 WS, Amsterdam, the Netherlands.
| | - E Salemink
- Department of Developmental Psychology, Adapt Lab, Research Priority Area Yield, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 WS, Amsterdam, the Netherlands; Clinical Psychology, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands.
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Effects of cognitive load during interpretation bias modification on interpretation bias and stress reactivity. J Behav Ther Exp Psychiatry 2020; 68:101561. [PMID: 32097825 DOI: 10.1016/j.jbtep.2020.101561] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 11/17/2019] [Accepted: 02/16/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND OBJECTIVES Interpretation bias modification can affect stress reactivity, yet results have not been consistent. This inconsistency may be partly due to variability in the degree to which training procedures alter interpretation at a more automatic, rather than strategic, level of processing, and a mismatch in available resources between the training and the stress situation. We tested this possibility by investigating whether imposing a secondary cognitive load during interpretation bias modification would strengthen training-induced effects on both interpretation bias and emotional reactivity. METHOD We trained 71 participants in a single session to interpret ambiguity either positively or negatively. Half of our participants did so while performing a cognitively demanding secondary task. We assessed the effects of these different training regimes on interpretation bias and both self-reported and physiological indices of stress reactivity. RESULTS Positive and negative interpretation bias modification resulted in training-congruent changes in interpretation bias. There were no group differences in self-reported stress reactivity, but positive interpretation training did improve recovery from stress as indexed by the heart rate measurement. Countering our hypothesis, the addition of cognitive load during the training increased neither the induced interpretive change nor its emotional impact. LIMITATIONS Sample size was relatively small, though sufficient to detect medium sized effects. CONCLUSIONS Adding cognitive load to interpretation bias modification does not alter training-induced change in interpretation bias or emotional reactivity.
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Attentional bias modification in social anxiety: Effects on the N2pc component. Behav Res Ther 2019; 120:103404. [DOI: 10.1016/j.brat.2019.05.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 01/18/2019] [Accepted: 05/10/2019] [Indexed: 01/11/2023]
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Shi R, Sharpe L, Abbott M. A meta-analysis of the relationship between anxiety and attentional control. Clin Psychol Rev 2019; 72:101754. [DOI: 10.1016/j.cpr.2019.101754] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 06/27/2019] [Accepted: 07/05/2019] [Indexed: 12/20/2022]
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The effects of attentional bias modification on emotion regulation. J Behav Ther Exp Psychiatry 2019; 62:38-48. [PMID: 30179729 DOI: 10.1016/j.jbtep.2018.08.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 03/06/2018] [Accepted: 08/28/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND OBJECTIVES In two experiments, we investigated the effects of Attentional Bias Modification (ABM) on emotion regulation, i.e. the manner in which people influence emotional experiences. We hypothesized that decreases in attentional bias to threat would impair upregulation and improve downregulation of negative emotions, while increases in attentional bias to threat would improve upregulation and impair downregulation of negative emotions. METHODS Using the emotion-in-motion paradigm (Experiment 1, N = 60) and the visual search task (Experiment 2, N = 58), we trained participants to attend to either threatening or positive stimuli and we assessed emotion intensity while observing, upregulating, and downregulating emotions in response to grids of mixed emotional pictures. RESULTS In Experiment 1, the attend positive group reported more positive emotions while merely watching grids of training pictures and the attend threat group showed impaired upregulation of negative affect. In Experiment 2, the attend threat group reported intensified negative emotions for all three instructions, while the attend positive group remained largely stable over time. LIMITATIONS We cannot unequivocally attribute these changes in emotion regulation to changes in attentional bias, as neither of the experiments yielded significant changes in attentional bias to threat. CONCLUSIONS By showing that attentional bias modification procedures affect the manner in which people deal with emotions, we add empirical weight to the conceptual overlap between attentional bias modification and emotion regulation.
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Onie S, Notebaert L, Clarke P, Most SB. Investigating the Effects of Inhibition Training on Attentional Bias Change: A Simple Bayesian Approach. Front Psychol 2019; 9:2782. [PMID: 30719018 PMCID: PMC6348260 DOI: 10.3389/fpsyg.2018.02782] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 12/28/2018] [Indexed: 01/23/2023] Open
Abstract
Attention bias modification (ABM), in which participants are trained to direct attention away from negative information, has been shown to reduce anxiety. However, such findings have been inconsistent. Changes in attentional bias are often absent, suggesting need for further investigation of the underlying mechanisms of ABM, as well as better statistical methods to analyze ABM data in order to reduce inferential error. In this study, we (a) compared inhibition control training to standard ABM training conditions, and (b) demonstrated the benefits of using simple Bayesian analyses to analyze ABM data. We recruited 116 participants and assessed their attentional bias prior to and after training, which involved practice avoiding negative stimuli, attending to negative stimuli, or avoiding a non-emotional, exogenous attentional cue (inhibitory control training). Our results suggested no impact of any of the training conditions on attentional bias. We further demonstrate Bayesian analyses may help control for both Type I and Type II error relative to a frequentist approach.
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Affiliation(s)
- Sandersan Onie
- School of Psychology, UNSW Sydney, Sydney, NSW, Australia
| | - Lies Notebaert
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Patrick Clarke
- School of Psychological Science, Curtin University, Perth, WA, Australia
| | - Steven B. Most
- School of Psychology, UNSW Sydney, Sydney, NSW, Australia
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Notebaert L, Grafton B, Clarke PJ, Rudaizky D, Chen NT, MacLeod C. Emotion-in-Motion, a Novel Approach for the Modification of Attentional Bias: An Experimental Proof-of-Concept Study. JMIR Serious Games 2018; 6:e10993. [PMID: 30487121 PMCID: PMC6291684 DOI: 10.2196/10993] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 08/26/2018] [Accepted: 08/27/2018] [Indexed: 01/29/2023] Open
Abstract
Background Individuals with heightened anxiety vulnerability tend to preferentially attend to emotionally negative information, with evidence suggesting that this attentional bias makes a causal contribution to anxiety vulnerability. Recent years have seen an increase in the use of attentional bias modification (ABM) procedures to modify patterns of attentional bias; however, often this change in bias is not successfully achieved. Objective This study presents a novel ABM procedure, Emotion-in-Motion, requiring individuals to engage in patterns of attentional scanning and tracking within a gamified, complex, and dynamic environment. We aimed to examine the capacity of this novel procedure, as compared with the traditional probe-based ABM procedure, to produce a change in attentional bias and result in a change in anxiety vulnerability. Methods We administered either an attend-positive or attend-negative version of our novel ABM task or the conventional probe-based ABM task to undergraduate students (N=110). Subsequently, participants underwent an anagram stressor task, with state anxiety assessed before and following this stressor. Results Although the conventional ABM task failed to induce differential patterns of attentional bias or affect anxiety vulnerability, the Emotion-in-Motion training did induce a greater attentional bias to negative faces in the attend-negative training condition than in the attend-positive training condition (P=.003, Cohen d=0.87) and led to a greater increase in stressor-induced state anxiety faces in the attend-negative training condition than in the attend-positive training condition (P=.03, Cohen d=0.60). Conclusions Our novel, gamified Emotion-in-Motion ABM task appears more effective in modifying patterns of attentional bias and anxiety vulnerability. Candidate mechanisms contributing to these findings are discussed, including the increased stimulus complexity, dynamic nature of the stimulus presentation, and enriched performance feedback.
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Affiliation(s)
- Lies Notebaert
- Centre for the Advancement of Research on Emotion, School of Psychological Science, University of Western Australia, Crawley, Australia
| | - Ben Grafton
- Centre for the Advancement of Research on Emotion, School of Psychological Science, University of Western Australia, Crawley, Australia
| | - Patrick Jf Clarke
- Centre for the Advancement of Research on Emotion, School of Psychological Science, University of Western Australia, Crawley, Australia.,School of Psychology, Curtin University, Bently, Australia
| | - Daniel Rudaizky
- Centre for the Advancement of Research on Emotion, School of Psychological Science, University of Western Australia, Crawley, Australia
| | - Nigel Tm Chen
- School of Psychology, Curtin University, Bently, Australia
| | - Colin MacLeod
- Centre for the Advancement of Research on Emotion, School of Psychological Science, University of Western Australia, Crawley, Australia
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Trait anxiety and the alignment of attentional bias with controllability of danger. PSYCHOLOGICAL RESEARCH 2018; 84:743-756. [PMID: 30132194 DOI: 10.1007/s00426-018-1081-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 08/17/2018] [Indexed: 10/28/2022]
Abstract
Attentional bias to threat cues is most adaptive when the dangers they signal can readily be controlled by timely action. This study examined whether heightened trait anxiety is associated with impaired alignment between attentional bias to threat and variation in the controllability of danger, and whether this is moderated by executive functioning. Participants completed a task in which threat cues signalled money loss and an aversive noise burst (the danger). In 'high control' blocks, attending to the threat cue offered a high chance of avoiding this danger. In 'low control' blocks, attending to the threat cue offered little control over the danger. The task yielded measures of attentional monitoring for threat, and attentional orienting to threat. Results indicated all participants showed greater attentional orienting to threat cues in high control relative to low control blocks (indicative of proper alignment), however, high trait-anxious participants showed no difference in attentional monitoring for threat between block types, whereas low trait-anxious participants did. This effect was moderated by N-Back scores. These results suggest heightened trait anxiety may be associated with impaired alignment of attentional monitoring for threat cues, and that such alignment deficit may be attenuated by high executive functioning.
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Woud ML, Verwoerd J, Krans J. Modification of cognitive biases related to posttraumatic stress: A systematic review and research agenda. Clin Psychol Rev 2017; 54:81-95. [PMID: 28445840 DOI: 10.1016/j.cpr.2017.04.003] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 04/11/2017] [Accepted: 04/12/2017] [Indexed: 11/26/2022]
Abstract
Cognitive models of Posttraumatic Stress Disorder (PTSD) postulate that cognitive biases in attention, interpretation, and memory represent key factors involved in the onset and maintenance of PTSD. Developments in experimental research demonstrate that it may be possible to manipulate such biases by means of Cognitive Bias Modification (CBM). In the present paper, we summarize studies assessing cognitive biases in posttraumatic stress to serve as a theoretical and methodological background. However, our main aim was to provide an overview of the scientific literature on CBM in (analogue) posttraumatic stress. Results of our systematic literature review showed that most CBM studies targeted attentional and interpretation biases (attention: five studies; interpretation: three studies), and one study modified memory biases. Overall, results showed that CBM can indeed modify cognitive biases and affect (analog) trauma symptoms in a training congruent manner. Interpretation bias procedures seemed effective in analog samples, and memory bias training proved preliminary success in a clinical PTSD sample. Studies of attention bias modification provided more mixed results. This heterogeneous picture may be explained by differences in the type of population or variations in the CBM procedure. Therefore, we sketched a detailed research agenda targeting the challenges for CBM in posttraumatic stress.
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Affiliation(s)
- Marcella L Woud
- Mental Health Research and Treatment Center, Department of Psychology, Ruhr-Universität Bochum, Massenbergstrasse 9-13, 44787 Bochum, Germany.
| | - Johan Verwoerd
- Department of Clinical Psychology, University of Groningen, Grote Kruisstraat 2-1, 9712 TS Groningen, The Netherlands.
| | - Julie Krans
- Behavior, Health and Psychopathology, Faculty of Psychology and Educational Sciences, KU Leuven, Tiensestraat 102, 3000 Leuven, Belgium.
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