Investigating auditory fear memory erasure in the basolateral amygdala
Bibliographic record
Abstract
New memories are initially fragile and need protein synthesis in order to be stabilized for long-term storage, a mechanism called cellular consolidation. When recalled, memories are re-activated and become unstable again. They therefore need to be re-stored through a process called reconsolidated. Behavioural studies in rats using auditory fear conditioning have demonstrated that propranolol, a β-adrenergic receptor antagonist, administered following memory reactivation can reduce fear expression (freezing), which has been interpreted as amnesia for the fear memory. It was recently discovered that GluR1-containing AMPA receptors are recruited into the post-synaptic membrane of the basolateral amygdala during auditory fear conditioning, suggesting that synaptic GluR1 increase may be a molecular correlate of long-term memory. The present study aims to investigate what molecular mechanisms accounts for the observed amnesia following a reconsolidation blockade by propranolol. Rats were trained in an auditory fear conditioning task, and fear memory reactivation was followed by systemic propranolol administration. Rats were then euthanized and GluR1 protein levels in baso-lateral amygdala synaptoneurosomes were quantified. We report preliminary evidence to suggest that a reconsolidation blockade by propranolol reduces fear expression with a concomitant reduction in GluR1. Such evidence suggests that a reconsolidation blockade might, at a molecular level, erase a component of the fear memory, providing support for the clinical utility of this treatment for post-traumatic stress disorder.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".