Abstract
Anxiety disorders, including generalized anxiety disorder (GAD), social anxiety disorder (SAD), and panic anxiety disorder (PAD), are a group of common psychiatric conditions. They are characterized by excessive worrying, uneasiness, and fear of future events, such that they affect social and occupational functioning. Anxiety disorders can alter behavior and cognition as well, yet little is known about the particular domains they affect. In this study, we tested the cognitive correlates of medication-free patients with GAD, SAD, and PAD, along with matched healthy participants using a probabilistic category-learning task that allows the dissociation between positive and negative feedback learning. We also fitted all participants' data to a Q-learning model and various actor-critic models that examine learning rate parameters from positive and negative feedback to investigate effects of valence vs. action on performance. SAD and GAD patients were more sensitive to negative feedback than either PAD patients or healthy participants. PAD, SAD, and GAD patients did not differ in positive-feedback learning compared to healthy participants. We found that Q-learning models provide the simplest fit of the data in comparison to other models. However, computational analysis revealed that groups did not differ in terms of learning rate or exploration values. These findings argue that (a) not all anxiety spectrum disorders share similar cognitive correlates, but are rather different in ways that do not link them to the hallmark of anxiety (higher sensitivity to negative feedback); and (b) perception of negative consequences is the core feature of GAD and SAD, but not PAD. Further research is needed to examine the similarities and differences between anxiety spectrum disorders in other cognitive domains and potential implementation of behavioral therapy to remediate cognitive deficits.
Highlights
Anxiety disorders are a group of common psychiatric conditions
All models were successful in fitting individual subject data, as indicated by comparable negative log likelihood estimates (negLLE), Bayesian Information Criterion (BIC) values showed that the Q-learning model provided the simplest fit of the data
We found that social anxiety disorder (SAD) and generalized anxiety disorder (GAD) patients learned better from negative feedback than either panic anxiety disorder (PAD) patients or Healthy Controls (HCs) participants
Summary
Anxiety disorders are a group of common psychiatric conditions. They are characterized by excessive worry, uneasiness, and fear of future events, such that they affect social and occupational functioning. The exposure of SAD patients to ordinary social settings induces selective retrieval of past negative social memories This leads to negative interpretation and response to current events in SAD (Grupe and Nitschke, 2013) as well as PAD (Gladsjo et al, 1998; Dupont et al, 2000; Lautenbacher et al, 2002). This excessive worrying about stimuli and threats may exhibit generalized avoidance and safety behaviors (Clark and Wells, 1995). As a consequence of generalized avoidance, repeated exposure to normal life events produces strong feelings of fear that persist and maintain anxiety for years (Salkovskis et al, 1991; Clark and Wells, 1995; Barlow, 2002)
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