Increased gray matter density in young women with chronic vulvar pain
Bibliographic record
Abstract
Provoked vestibulodynia (PVD) is a common form of chronic vulvar pain with unknown aetiology. Central pain regulatory mechanisms have been suggested to be disrupted in PVD, and consequently, PVD may be associated with anatomical changes in pain modulatory brain areas. Here, we compared total gray matter volumes and regional gray matter densities between 14 medication-free young women with relatively short-standing PVD (1 to 9 yrs) and 14 control subjects using whole brain voxel-based morphometry (VBM). VBM revealed that PVD subjects had significantly higher gray matter densities in pain modulatory and stress-related areas, i.e. the parahippocampal gyrus/hippocampus and basal ganglia (globus pallidus, caudate nucleus, and substantia nigra). In several of these regions, gray matter was related to clinical symptoms, namely lowered pain thresholds and increased pain catastrophizing scores. No region showed decreased gray matter density in the PVD group. These results point at the morphological alterations in supra-spinal pain modulatory circuitry, which might contribute to the clinical symptoms of patients with PVD. Previous VBM studies in older subjects with a longstanding chronic pain condition have demonstrated gray matter decreases in similar areas. We therefore speculate that gray matter density might increase in young pain patients with short disease duration and decrease in older subjects with longstanding disease, similarly to some psychiatric conditions, in which bi-directional changes of gray matter have been observed.
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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 | 0.001 | 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".