Activation of extracellular signal‐regulated kinase– mitogen‐activated protein kinase cascade in the amygdala is required for memory reconsolidation of auditory fear conditioning
Bibliographic record
Abstract
Consolidation of new fear memories has been shown to require de novo RNA and protein synthesis in the lateral nucleus of amygdala (LA). Recently we have demonstrated that consolidated fear memories, when reactivated, return to a labile state which is sensitive to disruption by the protein synthesis inhibitor anisomycin. The specific molecular mechanisms that underlie this reconsolidation of fear memories are still largely unknown. The activation of extracellular signal-regulated kinase-mitogen-activated protein kinase (ERK-MAPK) pathway in the LA is required for the consolidation of auditory fear memories. In the present study, we examined the role of ERK-MAPK cascade in the LA during reconsolidation of auditory fear conditioning. We show that intra-LA infusions of the MAPK kinase (MEK) inhibitor U0126, a manipulation which inhibits activation of ERK-MAPK, impairs postreactivation long-term memory (PR-LTM) but leaves the postreactivation short-term memory (PR-STM) intact. The same treatment with U0126, in the absence of memory reactivation, has no effect. Furthermore, we verified that reconsolidation requires translation using a second protein synthesis inhibitor, cycloheximide. Post-reactivation infusions of cycloheximide blocked PR-LTM but not PR-STM and, in the absence of reactivation, had no effect. Our data show that activation of ERK-MAPK signalling pathway and protein synthesis in the LA are required for reconsolidation of auditory fear memories.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".