Social aversive generalization learning sharpens the tuning of visuocortical neurons to facial identity cues
Abstract
Defensive system activation promotes heightened perception of threat signals, and excessive attention to threat signals has been discussed as a contributory factor in the etiology of anxiety disorders. However, a mechanistic account of attentional modulation during fear-relevant processes, especially during fear generalization remains elusive. To test the hypothesis that social fear generalization prompts sharpened tuning in the visuocortical representation of social threat cues, 67 healthy participants underwent differential fear conditioning, followed by a generalization test in which participants viewed faces varying in similarity with the threat-associated face. We found that generalization of social threat sharpens visuocortical tuning of social threat cues, whereas ratings of fearfulness showed generalization, linearly decreasing with decreasing similarity to the threat-associated face. Moreover, individuals who reported greater anxiety in social situations also showed heightened sharpened tuning of visuocortical neurons to facial identity cues, indicating the behavioral relevance of visuocortical tuning during generalization learning.
Data availability
Data sets, the code for all analyses, as well as the code for the production of table 1-4, figure 3, figure 5 and figure 7 are available under https://osf.io/4965f/
Article and author information
Author details
Funding
Deutsche Forschungsgemeinschaft (44541416 - TRR-58,projects B05 of the 2nd funding period and B01 of the 3rd funding period)
- Paul Pauli
- Matthias J Wieser
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: Prior to participation, written informed consent was obtained from each participant. The study was approved by the ethics review board of the University of Würzburg. (87/13).
Copyright
© 2020, Stegmann et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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