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Trace Fear Conditioning in Mice
Published on: March 20, 2014
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Prediction Error Determines Whether NMDA Receptors in the Basolateral Amygdala Complex Are Involved in Pavlovian Fear
Matthew J Williams-Spooner1,2, Andrew J Delaney3, R Frederick Westbrook1
1School of Psychology, University of New South Wales, Sydney, New South Wales, Australia 2052.
Summary
NMDA receptor (NMDAR) activation in the basolateral amygdala is crucial for fear memory formation only when aversive events are surprising. When danger is expected, fear conditioning occurs independently of NMDARs.
Area of Science:
- Neuroscience
- Behavioral Neuroscience
- Memory Research
Background:
- NMDA receptors (NMDAR) in the basolateral amygdala complex (BLA) are widely accepted as necessary for fear memory formation.
- This is based on studies showing NMDAR blockade in the BLA disrupts fear conditioning to unexpected aversive stimuli.
Purpose of the Study:
- To investigate the role of NMDARs in fear conditioning under different prediction error conditions.
- To challenge the established view on NMDAR necessity in fear memory acquisition.
Main Methods:
- Male rats received BLA infusions of the NMDAR antagonist D-AP5.
- Fear conditioning was assessed using Pavlovian paradigms with surprising or expected foot shocks.
- Electrophysiology was used to examine AMPA receptor function in BLA interneurons.
Main Results:
- NMDAR blockade in the BLA disrupted fear acquisition when the foot shock was surprising.
- Fear acquisition was spared when the foot shock was expected based on context and stimuli.
- Under expected shock conditions, fear acquisition relied on calcium-permeable AMPA receptors (CP-AMPA).
Conclusions:
- NMDAR activation is not universally required for fear conditioning.
- The involvement of NMDARs in fear conditioning is dependent on prediction errors related to aversive events.
- Fear conditioning to expected aversive events involves CP-AMPA receptors and occurs independently of NMDARs in the BLA.
Keywords:
NMDA receptorbasolateral amygdalafear conditioninghigher-order conditioningprediction errorrat
