Brain Region-Specific Gene Expression Activation Required for Reconsolidation and Extinction of Contextual Fear Memory
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Bibliographic record
Abstract
During fear conditioning, animals learn an association between a previously neutral or conditioned stimulus (CS) and an aversive or unconditioned stimulus (US). Subsequent reexposure to the CS alone triggers two competing processes. Brief reexposure to the CS initiates reconsolidation processes that serve to stabilize or maintain the original CS-US memory. In contrast, more prolonged reexposure to the CS leads to the formation of an inhibitory extinction (CS-no US) memory. Previous studies have established that both reconsolidation and extinction require gene expression. Consistent with this, here we first show that genetic disruption of cAMP-responsive element-binding protein (CREB)-mediated transcription blocks both reconsolidation and long-term extinction of contextual fear memory. We next asked whether reconsolidation and extinction engage CREB-mediated transcription in distinct brain regions. Accordingly, we used immunohistochemical approaches to characterize the activation of the transcription factor CREB [as well as the expression of the CREB-dependent gene Arc (activity-regulated cytoskeleton-associated protein)] after brief versus prolonged reexposure to a previously conditioned context. After brief reexposure, we observed significant activation of CREB-mediated gene expression in the hippocampus and amygdala. In contrast, after the prolonged reexposure, we observed significant activation of CREB-mediated gene expression in the amygdala and prefrontal cortex. Finally, we showed that blocking protein synthesis in either the hippocampus or the amygdala blocked reconsolidation of contextual fear memory, whereas similar blockade in the amygdala and prefrontal cortex prevented the formation of extinction memory. These experiments establish that reactivated contextual fear memories undergo CREB-dependent reconsolidation or extinction in distinct brain regions.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it