Literature DB >> 27114179

Here Comes Trouble: Prestimulus Brain Activity Predicts Enhanced Perception of Threat.

Tamara J Sussman1, Anna Weinberg2, Akos Szekely1, Greg Hajcak1, Aprajita Mohanty1.   

Abstract

Research on the perceptual prioritization of threatening stimuli has focused primarily on the physical characteristics and evolutionary salience of these stimuli. However, perceptual decision-making is strongly influenced by prestimulus factors such as goals, expectations, and prior knowledge. Using both event-related potentials and functional magnetic resonance imaging, we test the hypothesis that prior threat-related information and related increases in prestimulus brain activity play a key role in subsequent threat-related perceptual decision-making. After viewing threatening and neutral cues, participants detected perceptually degraded threatening and neutral faces presented at individually predetermined perceptual thresholds in a perceptual decision-making task. Compared with neutral cues, threat cues resulted in (1) improved perceptual sensitivity and faster detection of target stimuli; (2) increased late positive potential (LPP) and superior temporal sulcus (STS) activity, both of which are measures of emotional face processing; and (3) increased amygdala activity for subsequently presented threatening versus and neutral faces. Importantly, threat cue-related LPP and STS activity predicted subsequent improvement in the speed and precision of perceptual decisions specifically for threatening faces. Present findings establish the importance of top-down factors and prestimulus neural processing in understanding how the perceptual system prioritizes threatening information.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  ERP; LPP; STS; fMRI; perceptual decision-making

Mesh:

Year:  2017        PMID: 27114179     DOI: 10.1093/cercor/bhw104

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  10 in total

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8.  A machine learning approach to predict perceptual decisions: an insight into face pareidolia.

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9.  Cue Valence Influences the Effects of Cue Uncertainty on ERP Responses to Emotional Events.

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  10 in total

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