دورية أكاديمية
Affective Bias Through the Lens of Signal Detection Theory.
| العنوان: | Affective Bias Through the Lens of Signal Detection Theory. |
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| المؤلفون: | Locke SM; Laboratoire des Systèmes Perceptifs, Département d'Études Cognitives, École Normale Supérieure, PSL University, CNRS, 75005 Paris, France., Robinson OJ; Institute of Cognitive Neuroscience, University College London, London, UK; Research Department of Clinical, Educational and Health Psychology, University College London, London, UK. |
| المصدر: | Computational psychiatry (Cambridge, Mass.) [Comput Psychiatr] 2021; Vol. 5 (1), pp. 4-20. Date of Electronic Publication: 2021 Apr 26. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Ubiquity Press Ltd Country of Publication: England NLM ID: 101719151 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2379-6227 (Electronic) Linking ISSN: 23796227 NLM ISO Abbreviation: Comput Psychiatr Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Publication: 2021- : London : Ubiquity Press Ltd Original Publication: Cambridge, MA : MIT Press, [2017]- |
| مستخلص: | Affective bias - a propensity to focus on negative information at the expense of positive information - is a core feature of many mental health problems. However, it can be caused by wide range of possible underlying cognitive mechanisms. Here we illustrate this by focusing on one particular behavioural signature of affective bias - increased tendency of anxious/depressed individuals to predict lower rewards - in the context of the Signal Detection Theory (SDT) modelling framework. Specifically, we show how to apply this framework to measure affective bias and compare it to the behaviour of an optimal observer. We also show how to extend the framework to make predictions about bias when the individual holds incorrect assumptions about the decision context. Building on this theoretical foundation, we propose five experiments to test five hypothetical sources of this affective bias: beliefs about prior probabilities, beliefs about performance, subjective value of reward, learning differences, and need for accuracy differences. We argue that greater precision about the mechanisms driving affective bias may eventually enable us to better understand the mechanisms underlying mood and anxiety disorders. Competing Interests: Competing Interests OJR is funded by an MRC senior fellowship partially in collaboration with Cambridge Cognition and he is running an investigator-initiated trial with medication donated by Lundbeck. He also holds an MRC-Proximity to discovery award with Roche for work regarding work on heart rate variability and anxiety. He has also completed consultancy work for Peak and IESO digital health. He is on the committee for the British Association of Psychopharmacology. SML has no competing interests. |
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| معلومات مُعتمدة: | MR/R020817/1 United Kingdom MRC_ Medical Research Council |
| فهرسة مساهمة: | Keywords: affective bias; anxiety disorders; decision-making; mood disorders; signal detection theory |
| تواريخ الأحداث: | Date Created: 20210716 Latest Revision: 20210721 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC7611246 |
| DOI: | 10.5334/cpsy.58 |
| PMID: | 34268450 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2379-6227 |
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| DOI: | 10.5334/cpsy.58 |