Mechanisms of Dopamine Activation of Fast-Spiking Interneurons That Exert Inhibition in Rat Prefrontal Cortex
Bibliographic record
Abstract
Prefrontal cortical dopamine (DA) modulates pyramidal cell excitability directly and indirectly by way of its actions on local circuit GABAergic interneurons. DA modulation of interneuronal functions is implicated in the computational properties of prefrontal networks during cognitive processes and in schizophrenia. Morphologically and electrophysiologically distinct classes of putative GABAergic interneurons are found in layers II-V of rat prefrontal cortex. Our whole cell patch-clamp study shows that DA induced a direct, TTX-insensitive, reversible membrane depolarization, and increased the excitability of fast-spiking (FS) interneurons. The DA-induced membrane depolarization was reduced significantly by D1/D5 receptor antagonist SCH 23390, but not by the D2 receptor antagonist (-)sulpiride, D4 receptor antagonists U101958 or L-745870, alpha1-adrenoreceptor antagonist prazosin, or serotoninergic receptor antagonist mianserin. The D1/5 agonists SKF81297 or dihydrexidine, but not D2 agonist quinpirole, also induced a prolonged membrane depolarization. Voltage-clamp analyses of the voltage-dependence of DA-sensitive currents, and the effects of changing [K(+)](O) on reversal potentials of DA responses, revealed that DA suppressed a Cs(+)-sensitive inward rectifier K(+) current and a resting leak K(+) current. D1/D5, but not D2 agonists mimicked the suppressive effects of DA on the leak current, but the DA effects on the inward rectifier K(+) current were not mimicked by either agonist. In a subgroup of FS interneurons, the slowly inactivating membrane outward rectification evoked by depolarizing voltage steps was also attenuated by DA. Collectively, these data showed that DA depolarizes FS interneurons by suppressing a voltage-independent 'leak' K(+) current (via D1/D5 receptor mechanism) and an inwardly rectifying K(+) current (via unknown DA mechanisms). Additional suppression of a slowly inactivating K(+) current led to increase in repetitive firing in response to depolarizing inputs. This D1-induced increase in interneuron excitability enhances GABAergic transmission to PFC pyramidal neurons and could represent a mechanism via which DA suppresses persistent firing of pyramidal neurons in vivo.
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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".