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1.
Behav Ther ; 53(4): 701-713, 2022 07.
Article in English | MEDLINE | ID: mdl-35697432

ABSTRACT

Although cognitive theories suggest the interactive nature of information processing biases in contributing to social anxiety, most studies to date have investigated these biases in isolation. This study aimed at (a) testing the association between social anxiety and each of the threat-related cognitive biases: attention, interpretation, and memory bias; and (b) examining the relationship between these cognitive biases in facial perception. We recruited an unselected sample of 188 adult participants and measured their level of social anxiety and cognitive biases using faces displaying angry, disgusted, happy, and ambiguous versions of these expressions. All bias tasks were assessed with the same set of facial stimuli. Regression analyses showed that social anxiety symptoms significantly predicted attention avoidance and poorer sensitivity in recognizing threatening faces. Social anxiety was, however, unrelated to interpretation bias in our sample. Results of path analysis suggested that attention bias influenced memory bias indirectly through interpretation bias for angry but not disgusted faces. Our findings suggest that, regardless of social anxiety level, when individuals selectively oriented to faces displaying anger, the faces were interpreted to be more negative. This, in turn, predicted better memory for the angry faces. The results provided further empirical support for the combined cognitive bias hypothesis.


Subject(s)
Anger , Facial Expression , Adult , Anxiety/psychology , Bias , Humans , Perception , Social Perception
2.
J Anxiety Disord ; 89: 102575, 2022 06.
Article in English | MEDLINE | ID: mdl-35594749

ABSTRACT

Cognitive theories have postulated the relational nature of different cognitive biases in the development and maintenance of anxiety disorders. To test this combined cognitive bias hypothesis, this review addressed the following questions: (i) whether different cognitive biases are associated with each other and (ii) whether one bias influences another bias. We identified 36 articles that studied the relationship between cognitive biases (attention, interpretation and memory bias). Of these, 31 studies were entered into two meta-analyses. Sixteen studies were included in the first meta-analysis of the correlation between cognitive bias indices. A further 15 studies were included in another meta-analysis to examine the transfer effects of cognitive bias modification (CBM) to another bias. Both meta-analyses yielded small but significant overall pooled effect sizes after the removal of outliers (r = 0.11 and g = 0.19 respectively). Moderator analyses revealed that the relationship between interpretation and memory bias was significantly stronger than other types of cognitive bias correlations and CBM is more potent in modifying biases when it was delivered in the laboratory compared with online. Our review quantifies the strength of the relationships between biases and transfer effects following CBM, which serves as a basis to further understand the mechanisms underlying biased information processing.


Subject(s)
Anxiety Disorders , Anxiety , Anxiety/psychology , Anxiety Disorders/psychology , Attention , Bias , Cognition , Humans
3.
Neurosci Biobehav Rev ; 114: 156-157, 2020 07.
Article in English | MEDLINE | ID: mdl-32389517

ABSTRACT

Recently, Yuan et al. (2019) quantitatively reviewed emotional bias studies with P3 event-related potential amplitudes and demonstrated that emotional bias varies with stimulus parameters, such as type, arousal, and task setting. We believe that emotional biases might profitably be studied together with cognitive processes in order to understand the affective dysregulation underpinning various mental illnesses. In this commentary, we highlighted the role of attention bias and interpretation bias as examples of cognitive processes affecting emotional bias in anxiety disorders. We discussed the potential synergy of examining cognitive processes alongside emotional bias to understand the psychopathology underlying various prevalent forms of mental disorders and potentially disentangle the intricate mechanisms for further interventions.


Subject(s)
Arousal , Emotions , Anxiety Disorders , Bias , Cognition , Humans
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