The study on regional cerebral biochemical metabolism by magnetic resonance spectroscopy in patients with somatization disorder
Bibliographic record
Abstract
Objective: To study the differences of substance metabolism in brain regions between the patients with somatization disorder and healthy volunteers and investigate the correlation between the substance metabolism and alexithymia. Method: By using magnetic resonance spectroscopy( MRS),the thalamus and caudate nucleus of 25 patients( patient group) with somatization disorder and 25 controls( control group) were scanned,then the level of choline complex( Cho),creatine( Cr) and N-acetyl aspartic acid( NAA) were estimated according to the area under the curve( AUC) respectively. And the ratios of NAA /Cr and Cho /Cr were compared within-subjects and between-subjects in left and right brain regions. Also Toronto alexithymia scale( TAS-20) was rated by patients and controls. Then the correlation between the ratio of NAA/Cr which showed significant difference in some brain region of patients' and their TAS-20 scores were analyzed. Results: The between-subjects effects( F = 4. 078,F = 5. 071) and the within-subjects effects( F = 4. 969,F = 5. 326) and the interaction effects( F = 11. 673,F = 13. 992) between patients and controls' thalamus NAA,NAA /Cr existed significant difference( P 0. 05 or P 0. 001). Moreover the between-subjects effects of NAA、NAA /Cr between patients and controls' caudate nucleus existed statistical difference( F = 12. 343,P = 0. 001; F = 18. 778,P = 0. 000). The ratio of NAA /Cr of patients ' left thalamus was negatively correlated with their TAS-20( r =-0.417,P =0.038),while the ratio of NAA/Cr of bilateral caudate nucleus had no correlation with TAS-20( r =- 0. 240,P = 0. 248; r =- 0. 290,P = 0. 159). Conclusion: There were abnormal biochemical metabolism in left thalamus and bilateral caudate nucleus of patients with somatization disorder. Their alexithymia is correlated to the abnormal biochemical metabolism in left thalamus.
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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 | 0.002 | 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 | 0.001 |
| 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".