Differential innervation of parvalbumin-immunoreactive interneurons of the basolateral amygdaloid complex by cortical and intrinsic inputs
Bibliographic record
Abstract
In the basolateral (BL) amygdaloid complex, the excitability of projection cells is regulated by intrinsic inhibitory interneurons using gamma-aminobutyric acid (GABA) as a transmitter. A subset of these cells are labeled in a Golgi-like manner by Parvalbumin (PV) immunohistochemistry. Recently, we have shown that the overwhelming majority of axon terminals contacting these PV-immunoreactive neurons form asymmetric synapses. The present study was undertaken to identify the source(s) of these inputs. Since previous work had revealed that thalamic axons form very few synapses on BL interneurons (< 1%), we focused on cortical and intra-amygdaloid inputs. Iontophoretic injections of the anterograde tracers Phaseolus vulgaris-leucoagglutinin or biotinylated dextran amine were performed in various cortical fields in cats (perirhinal, entorhinal, pre/infralimbic cortices) and monkeys (orbitofrontal region) or in the BL amygdaloid nucleus in cats. These injections resulted in a large number of anterogradely labeled terminals forming asymmetric synapses in the BL complex. Following cortical injections, numerous anterogradely labeled terminals were found in the vicinity of PV-immunoreactive interneurons in the BL amygdala. However, only approximately 1% of these terminals formed synaptic contacts with PV-immunoreactive profiles. In contrast, as many as 11% of the terminals contributed by the intranuclear axon collaterals of BL projection cells established synapses with PV-immunoreactive elements. Since the axon terminals of PV-immunoreactive interneurons are enriched in GABA and they exclusively form symmetric synapses, these results suggest that PV-immunoreactive interneurons are predominantly involved in feedback inhibition in the BL amygdaloid complex.
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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 | 0.000 |
| 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".