The Ventral Striatum is Implicated in the Analgesic Effect of Mood Changes
Bibliographic record
Abstract
BACKGROUND: The ventral striatum, particularly the nucleus accumbens, is commonly associated with the processing of reward and positive stimuli, positive affect as well as antinociceptive processes. OBJECTIVES: The present study examined whether the ventral striatum is implicated in analgesia resulting from positive mood change induced by pleasant odours. METHODS: Functional magnetic resonance imaging studies were conducted in healthy individuals receiving painful heat stimuli in the presence of pleasant or unpleasant odours, which were used to induce positive and negative mood states. Ventral striatum activity was examined in the two mood states. RESULTS: For most subjects, pleasant odours improved mood and reduced pain unpleasantness perception relative to unpleasant odours. In the pleasant odour condition, the maximum activation of both the left and right ventral striatum was positively correlated with the amount of pain reduction. Furthermore, the left and right ventral striatum activations positively covaried with one another, and the right ventral striatum activation positively correlated with that in the periaqueductal grey matter. Both ventral striatum activations negatively covaried with the activation of the right mediodorsal thalamus, left dorsal anterior cingulate cortex, left medial prefrontal cortex and right ventrolateral prefrontal cortex. CONCLUSIONS: Because both the mediodorsal thalamus and anterior cingulate are involved in pain affect perception, and activation within the prefrontal areas and periaqueductal grey matter were previously shown to correlate with mood-related pain modulation, it is concluded that the ventral striatum is likely implicated in the analgesic effect of positive mood changes induced by pleasant odours on pain unpleasantness.
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How this classification was reachedexpand
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 | 0.008 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".