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Updated: Nov 21, 2025

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Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
Published on: September 12, 2014
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Shared and unique neural circuitry underlying temporally unpredictable threat and reward processing
Milena Radoman1,2, Lynne Lieberman3, Jagan Jimmy1
1Department of Psychiatry, University of Illinois-Chicago, Chicago, IL 60612, USA.
Social Cognitive and Affective Neuroscience
|January 15, 2021
Summary
Anticipating unpredictable rewards and threats engages overlapping brain regions, but distinct neural circuits largely mediate these processes. Understanding these distinct pathways is crucial for addressing maladaptive responses to uncertainty.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Temporally unpredictable stimuli impact behavior across species.
- Frontolimbic circuits are implicated in anticipating unpredictable threat (U-threat).
- Neural mechanisms for unpredictable reward (U-reward) anticipation and overlapping systems remain unclear.
Purpose of the Study:
- Investigate the neural mechanisms of U-reward anticipation.
- Determine if U-threat and U-reward processing involve overlapping or distinct neural systems.
- Clarify the neural basis of responding to uncertainty.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used.
- Data from 159 young adults were analyzed.
- Neural activation patterns during anticipation of U-threat and U-reward were compared.
Main Results:
- Both U-threat and U-reward anticipation activated the right anterior insula, right ventral anterior nucleus of the thalamus, and right inferior frontal gyrus.
- U-threat uniquely activated the right posterior insula and dorsal anterior cingulate cortex.
- U-reward uniquely activated the right fusiform and left middle occipital gyrus.
Conclusions:
- Anticipation of U-threat and U-reward share some neural circuitry.
- Distinct neural circuits largely mediate the processing of U-threat and U-reward.
- Further research is needed to validate and expand these findings on uncertainty processing.
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