The role of the anterior cingulate cortex in pitch variation during sad affect
Bibliographic record
Abstract
We examined neural activity, in the frontal lobes, associated with speech production during affective states. Using functional magnetic resonance imaging (fMRI), the blood oxygen level-dependent (BOLD) response to the overt reading of emotionally neutral sentences was measured before and after a happy or sad mood induction. There was no explicit demand to produce affect-congruent speech and a cover story was used to de-emphasize the significance of the speech task in light of our experimental aims. Each fMRI measurement was acquired 6 s after the onset of sentence presentation so that speech could be recorded while the scanner noise was minimal; speech parameters (e.g. pitch variation) were extracted from the sentences and regressed against fMRI data. In the sad group we found the predicted changes in affect and pitch variation. Further, the fMRI data confirmed our hypothesis in that the 'reading effect' (i.e. the BOLD response to reading minus the BOLD response to baseline stimuli) in the supracallosal anterior cingulate cortex covaried negatively with both pitch variation and affect. Our results suggest that the anterior cingulate cortex modulates paralinguistic features of speech during affective states, thus placing this neural structure at the interface between action and emotions.
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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) | 0.000 | 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".