The noradrenergic symptom cluster: clinical expression and neuropharmacology
Bibliographic record
Abstract
The noradrenergic symptom cluster: clinical expression and neuropharmacology Pierre Blier1, Mike Briley21Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada; 2NeuroBiz Consulting and Communication, Castres,FranceAbstract: Signs and symptoms of depression can be linked to one or more monoaminergic systems, specifically the norepinephrine (NE), the dopamine (DA), and the serotonin (5-HT) systems. In particular, the modulation of energy, vigilance, and arousal can be directly linked to the NE system. There is, however, a great deal of overlap in the modulation of the symptoms of depression between these monoaminergic systems. There are considerable reciprocal interactions between the NE, DA, and the 5-HT systems. When using a selective serotonin reuptake inhibitor (SSRI), for example, 5-HT transmission is enhanced, but at the same time there is a dampening of the activity of NE and DA neurons through inhibitory 5-HT2A and 5-HT2C receptors, respectively. This could explain the residual symptoms of fatigue, lack of energy, and anhedonia, often seen after patients present an overall positive response to a SSRI. Using a dual 5-HT and NE reuptake inhibitor (SNRI), such as milnacipran, would result in an additional increase in NE activity. Futhermore, inhibiting NE reuptake increases DA availability in the frontal cortex since DA is mainly cleared by the NE transporters in several brain regions. A risk inherent in increased NE activity is that of provoking anxiety. This is avoided however by the attenuation of the phasic reactivity of the firing of NE neurons through prolonged administration of SSRI and SNRI.Keywords: norepinephrine, dopamine, serotonin, residual symptoms, norepinephrine paradox
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".