GABAC receptors in the lateral amygdala: a possible novel target for the treatment of fear and anxiety disorders?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Activation of GABA(A)Rs in the lateral nucleus of the amygdala (LA), a key site of plasticity underlying fear learning, impairs fear learning. The role of GABA(C)Rs in the LA and other brain areas is poorly understood. GABA(C)Rs could be an important novel target for pharmacological treatments of anxiety-related disorders since, unlike GABA(A)Rs, GABA(C)Rs do not desensitize. To detect functional GABA(C)Rs in the LA we performed whole cell patch clamp recordings in vitro. We found that GABA(A)Rs and GABA(B)Rs blockade lead to a reduction of evoked inhibition and an increase increment of excitation, but activation of GABA(C)Rs caused elevations of evoked excitation, while blocking GABA(C)Rs reduced evoked excitation. Based on this evidence we tested whether GABA(C)Rs in LA contribute to fear learning in vivo. It is established that activation of GABA(A)Rs leads to blockage of fear learning. Application of GABA(C) drugs had a very different effect; fear learning was enhanced by activating and attenuated by blocking GABA(C)Rs in the LA. Our results suggest that GABA(C) and GABA(A)Rs play opposing roles in modulation of associative plasticity in LA neurons of rats. This novel role of GABA(C)Rs furthers our understanding of GABA receptors in fear memory acquisition and storage and suggests a possible novel target for the treatment of fear and anxiety disorders.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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