Revisiting the “manic defence hypothesis”: assessing explicit and implicit cognitive biases in euthymic bipolar disorder

2021 ◽  
pp. 1-11
Author(s):  
Shara Granger ◽  
Alexia Pavlis ◽  
James Collett ◽  
Karen T. Hallam
2020 ◽  
pp. 155-172
Author(s):  
David E. Fleck ◽  
Fabiano G. Nery ◽  
Caleb M. Adler

This chapter provides a characterization of cognitive impairment in bipolar disorder and how emotions affect cognition and lead to cognitive biases. The Behavioral Approach System and Interactive Cognitive Model of bipolar disorder are reviewed, along with the newer Interactive Influence Model of Emotion and Cognition, which holds promise in future applications to mood disorders. These models provide a framework for the development and expansion of neurobiological models and psychotherapeutic interventions for bipolar disorder. The authors conclude by noting that, while models of bipolar disorder still need to be expanded to account for cognitive and behavioral influences beyond simple correlations with symptom outcomes, their importance is clearly demonstrated in the development of cognitive behavioral therapies, cognitive remediation therapies, and mindfulness-based cognitive therapies for bipolar disorder. The ability to test the efficacy of these, and other, cognitive behavioral therapeutics in controlled trials based on the predictions of well-characterized models of bipolar disorder will undoubtedly lead to advances in patient care.


2010 ◽  
Vol 38 (4) ◽  
pp. 459-472 ◽  
Author(s):  
Alison Pyle ◽  
Warren Mansell

Background: While research indicates cognitive biases in individuals vulnerable to bipolar symptoms, the specificity of these biases to the self and others, and to low or high activation states, is underexplored. Method: These biases were investigated using individuals with high (n = 24) and low levels (n = 24) of hypomanic personality (HPS) during word rating and free recall of a list of trait words after a positive versus neutral mood induction. Results: The mood induction was not successful. Also, in contrast to the predicted self-serving bias, there was a self-denigratory bias in self-ratings relative to ratings of another person. In post hoc analyses, the study succeeded in producing a rating task of trait words that differentiated between high and low hypomania-prone individuals, as the high HPS group made higher ratings of high activation trait words (e.g. dynamic) to describe positive and neutral attributes regardless of whether it referred to themselves or another person. The high HPS group also showed a negative recall bias, but it was not specific to the self, questioning assumptions made about negative biases in existing research. Furthermore, a strong relationship emerged between greater use of imagery at encoding and greater recall of self-referent, positive, high activation words, suggesting a role for the intensity of images associated with the amplification of emotions in people with bipolar disorder (Holmes et al., 2008). Conclusions: It seems important to consider various multiple factors in memory bias research in people vulnerable to bipolar disorder, including self versus other encoding, high versus low activated states and the role of mental imagery. Further research is needed to spell out their interactive contribution.


Ob Gyn News ◽  
2005 ◽  
Vol 40 (3) ◽  
pp. 11
Author(s):  
DIANA MAHONEY

2005 ◽  
Vol 39 (5) ◽  
pp. 26
Author(s):  
Jeff Evans
Keyword(s):  

2017 ◽  
Author(s):  
Robert P. Reiser ◽  
Larry W. Thompson ◽  
Sheri L. Johnson ◽  
Trisha Suppes
Keyword(s):  

2003 ◽  
Vol 8 (4) ◽  
pp. 252-265 ◽  
Author(s):  
Manuel G. Calvo ◽  
P. Avero ◽  
M. Dolores Castillo ◽  
Juan J. Miguel-Tobal

We examined the relative contribution of specific components of multidimensional anxiety to cognitive biases in the processing of threat-related information in three experiments. Attentional bias was assessed by the emotional Stroop word color-naming task, interpretative bias by an on-line inference processing task, and explicit memory bias by sensitivity (d') and response criterion (β) from word-recognition scores. Multiple regression analyses revealed, first, that phobic anxiety and evaluative anxiety predicted selective attention to physical- and ego-threat information, respectively; cognitive anxiety predicted selective attention to both types of threat. Second, phobic anxiety predicted inhibition of inferences related to physically threatening outcomes of ambiguous situations. And, third, evaluative anxiety predicted a response bias, rather than a genuine memory bias, in the reporting of presented and nonpresented ego-threat information. Other anxiety components, such as motor and physiological anxiety, or interpersonal and daily-routines anxiety made no specific contribution to any cognitive bias. Multidimensional anxiety measures are useful for detecting content-specificity effects in cognitive biases.


PsycCRITIQUES ◽  
2011 ◽  
Vol 56 (30) ◽  
Author(s):  
Alice Sterling Honig
Keyword(s):  

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