Metyrapone Administration Reduces the Strength of an Emotional Memory Trace in a Long-Lasting Manner
Bibliographic record
Abstract
CONTEXT: It has recently been demonstrated that the process of memory retrieval serves as a reactivation mechanism whereby the memory trace that is reactivated during retrieval is once again sensitive to modifications by environmental or pharmacological manipulations. Recent studies have shown that glucocorticoids (GCs) have the capacity to modulate the process of memory retrieval. This suggests that GCs could be an interesting avenue to investigate with regard to reduction of emotional memory. OBJECTIVE: The current study assessed whether a pharmacological decrease in GC levels, induced by metyrapone, a potent inhibitor of GC secretion, would affect retrieval of emotional and neutral information in an acute and/or long-lasting manner. DESIGN, SETTING, PARTICIPANTS, AND INTERVENTION: To do so, 1 × 750 mg dose of metyrapone, 2 × 750 mg dose of metyrapone, or placebo was administered to young normal participants 3 d after the encoding of a slide show having neutral and emotional segments. The experiment took place in a university and a hospital setting. MAIN OUTCOME MEASURE: Memory performance was assessed after treatment and 4 d later. RESULTS: RESULTS showed that retrieval of emotional information was acutely impaired in the double-dose metyrapone group and that this effect was still present 4 d later, when GC levels were not different between groups. CONCLUSIONS: These results show that decreasing GC levels via metyrapone administration is an efficient way to reduce the strength of an emotional memory in a long-lasting manner.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".