Comparison of ~1H MR Spectroscopic Findings of Thalamus in Trigeminal Neuralgia Patients and Healthy Volunteers
Bibliographic record
Abstract
Objective:To compare the MR spectroscopy manifestations of trigeminal neuralgia patients and healthy volunteers (for control subjects),in order to study the biochemistry and metabolic changes in the thalamus of trigeminal neuralgia patients.Methods:Routine MRI including T1WI,T2WI and FLAIR sequences and single-voxel proton MRS (1H-MRS) were performed in 10 trigeminal neuralgia patients and 10 healthy volunteers with 1.5 MR system.Pain indexes of 10 trigeminal neuralgia patients were scored using the short form McGill pain questionnaires.After structural abnormalities of brain was excluded,the NAA/Cr、Cho/Cr、mI/Cr ratio of bilateral thalami were calculated after spectral baseline and phase calibrations,and the paired t-test of spectral data of 10 trigeminal neuralgia patients and 10 healthy control subjects were performed with the SPSS statistics package.The changes of NAA/Cr,Cho/Cr and mI/Cr were analyzed to correlate with the pain indexes of 10 TN patients.Results:The ratio of NAA/Cr in the thalami was 1.87±0.23 and 1.42±0.30 in the control group and in TN patients respectively,with significant statistical difference (t(9)=4.335,P=0.002).Decrease of NAA/Cr seemed to be correlated mildly with the duration of pain and the MPQ-affective index.No significant difference was existed for Cho/Cr and mI/Cr in the TN patients and controls.Compared to the controls,a marked increase in the Glx (GlnGlu) signal intensity was noted in the thalami of TN patients, and the sensitivity and specificity for the diagnosis of TN were 70% and 80% respectively.Conclusion:The present 1H MRS study showed that marked decrease of NAA/Cr,increase of Glx in the thalami of TN patients,indicating abnormal proton metabolic changes of thalami.In vivo 1H-MRS may serve as a useful noninvasive modality for evaluating thalamic neural activity in TN patients.
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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 | 0.001 | 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) | 0.002 | 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".