Magnetic resonance spectroscopic evidence for presupplementary motor area neuronal dysfunction in Parkinson's disease
Bibliographic record
Abstract
The anterior cingulate (AC) gyrus and the presupplementary motor area (pre-SMA) show pathological changes in Parkinson's disease (PD). We examined if PD patients show magnetic resonance spectroscopy (MRS) changes in NAA/Cr in the AC, pre-SMA, or posterior cingulate (PC). Forty-four (27 male, 17 female) healthy nondemented PD patients and 38 controls (18 male, 20 female) 65 years of age and older were examined using the Unified Parkinson's Disease Rating Scale (UPDRS), Mini-Mental State Examination, Frontal Assessment Battery, and Geriatric Depression Scale. MRS was performed at 1.5 T. Voxels (8 cc; PRESS; TE = 80; TR = 1,600 ms) were placed mid-sagittally. Gray matter and white matter volumes were measured within voxels using SPM2. Spectra were analyzed using LC model to yield NAA/Cr and Cho/Cr. Demographic and cognitive measures did not differ between groups. Motor UPDRS was 17.7 +/- 8.8 for PD. Pre-SMA NAA/Cr was lower in PD (PD: 1.39 +/- 0.17; control: 1.47 +/- 0.16; P = 0.045) and correlated negatively with age (r = 0.39; P = 0.01), but not with UPDRS, disease duration, or dopamine equivalents. AC and PC NAA/Cr and Cho/Cr in any region did not differ (P > 0.05). In conclusion, pre-SMA NAA/Cr was selectively decreased in PD, consistent with neuronal dysfunction. This should be further examined as a biomarker of disease in PD.
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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) | 0.001 | 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".