Anxiety, Avoidance, and Sequential Evaluation
Anxiety disorders are characterized by a range of aberrations in the processing of and response to threat, but there is little clarity what core pathogenesis might underlie these symptoms. Here we propose that a particular set of unrealistically pessimistic assumptions can distort an agent’s behavio...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Ubiquity Press
2020-03-01
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Series: | Computational Psychiatry |
Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/cpsy_a_00026 |
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author | Zorowitz, Samuel Momennejad, Ida Daw, Nathaniel D. |
author_facet | Zorowitz, Samuel Momennejad, Ida Daw, Nathaniel D. |
author_sort | Zorowitz, Samuel |
collection | DOAJ |
description | Anxiety disorders are characterized by a range of aberrations in the processing of and response to threat, but there is little clarity what core pathogenesis might underlie these symptoms. Here we propose that a particular set of unrealistically pessimistic assumptions can distort an agent’s behavior and underlie a host of seemingly disparate anxiety symptoms. We formalize this hypothesis in a decision-theoretic analysis of maladaptive avoidance and a reinforcement learning model, which shows how a localized bias in beliefs can formally explain a range of phenomena related to anxiety. The core observation, implicit in standard decision-theoretic accounts of sequential evaluation, is that the potential for avoidance should be protective: If danger can be avoided later, it poses less threat now. We show how a violation of this assumption—via a pessimistic, false belief that later avoidance will be unsuccessful—leads to a characteristic,
excessive propagation of fear and avoidance to situations far antecedent of threat. This single deviation can explain a range of features of anxious behavior, including exaggerated threat appraisals, fear generalization, and persistent avoidance. Simulations of the model reproduce laboratory demonstrations of abnormal decision-making in anxiety, including in situations of approach–avoid conflict and planning to avoid losses. The model also ties together a number of other seemingly disjoint phenomena in anxious disorders. For instance, learning under the pessimistic bias captures a hypothesis about the role of anxiety in the later development of depression. The bias itself offers a new formalization of classic insights from the psychiatric literature about the central role of maladaptive beliefs about control and self-efficacy in anxiety. This perspective also extends previous computational accounts of beliefs about control in mood disorders, which
neglected the sequential aspects of choice. |
first_indexed | 2024-04-11T12:27:47Z |
format | Article |
id | doaj.art-4368a93cbb864d22a9a94d7c3eb82051 |
institution | Directory Open Access Journal |
issn | 2379-6227 |
language | English |
last_indexed | 2024-04-11T12:27:47Z |
publishDate | 2020-03-01 |
publisher | Ubiquity Press |
record_format | Article |
series | Computational Psychiatry |
spelling | doaj.art-4368a93cbb864d22a9a94d7c3eb820512022-12-22T04:23:52ZengUbiquity PressComputational Psychiatry2379-62272020-03-01411710.1162/cpsy_a_00026Anxiety, Avoidance, and Sequential EvaluationZorowitz, SamuelMomennejad, IdaDaw, Nathaniel D.Anxiety disorders are characterized by a range of aberrations in the processing of and response to threat, but there is little clarity what core pathogenesis might underlie these symptoms. Here we propose that a particular set of unrealistically pessimistic assumptions can distort an agent’s behavior and underlie a host of seemingly disparate anxiety symptoms. We formalize this hypothesis in a decision-theoretic analysis of maladaptive avoidance and a reinforcement learning model, which shows how a localized bias in beliefs can formally explain a range of phenomena related to anxiety. The core observation, implicit in standard decision-theoretic accounts of sequential evaluation, is that the potential for avoidance should be protective: If danger can be avoided later, it poses less threat now. We show how a violation of this assumption—via a pessimistic, false belief that later avoidance will be unsuccessful—leads to a characteristic, excessive propagation of fear and avoidance to situations far antecedent of threat. This single deviation can explain a range of features of anxious behavior, including exaggerated threat appraisals, fear generalization, and persistent avoidance. Simulations of the model reproduce laboratory demonstrations of abnormal decision-making in anxiety, including in situations of approach–avoid conflict and planning to avoid losses. The model also ties together a number of other seemingly disjoint phenomena in anxious disorders. For instance, learning under the pessimistic bias captures a hypothesis about the role of anxiety in the later development of depression. The bias itself offers a new formalization of classic insights from the psychiatric literature about the central role of maladaptive beliefs about control and self-efficacy in anxiety. This perspective also extends previous computational accounts of beliefs about control in mood disorders, which neglected the sequential aspects of choice.https://www.mitpressjournals.org/doi/abs/10.1162/cpsy_a_00026 |
spellingShingle | Zorowitz, Samuel Momennejad, Ida Daw, Nathaniel D. Anxiety, Avoidance, and Sequential Evaluation Computational Psychiatry |
title | Anxiety, Avoidance, and Sequential Evaluation |
title_full | Anxiety, Avoidance, and Sequential Evaluation |
title_fullStr | Anxiety, Avoidance, and Sequential Evaluation |
title_full_unstemmed | Anxiety, Avoidance, and Sequential Evaluation |
title_short | Anxiety, Avoidance, and Sequential Evaluation |
title_sort | anxiety avoidance and sequential evaluation |
url | https://www.mitpressjournals.org/doi/abs/10.1162/cpsy_a_00026 |
work_keys_str_mv | AT zorowitzsamuel anxietyavoidanceandsequentialevaluation AT momennejadida anxietyavoidanceandsequentialevaluation AT dawnathanield anxietyavoidanceandsequentialevaluation |