Neuroanatomical Changes Accompanying Surgical Response in Trigeminal Neuralgia
Bibliographic record
Abstract
Trigeminal neuralgia (TN) is a severe, chronic neuropathic facial pain condition. Although TN can be highly amenable to surgical treatment, ~25% of patients remain in pain. Thirteen cortical regional predictors of surgical response were previously identified using pre-surgical cortical thickness in TN. In this thesis, I examined how these response predictors changed following surgical treatment. Retrospective imaging data was acquired from surgically naïve TN patients before and 6-12 months after undergoing Gamma Knife Radiosurgery (GKRS). 116 patients (73F:43M) were categorized as surgical responders (≥ 75% pain relief), partial responders (50-74% pain relief), or non-responders (<50% pain relief). Eight regions within default mode, visual, limbic, and dorsal attention networks had significant (p < 0.05) changes in cortical thickness, with responders having the most widespread and significant change. Thickening of the fusiform gyrus was significantly correlated with the degree of pain reduction, highlighting this region in the process of post-surgical pain relief.
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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) | 0.002 | 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".