Magnetic Resonance Imaging-Based Volumetric Analysis of Basal Ganglia Nuclei and Substantia Nigra in Patients with Parkinson’s Disease
Bibliographic record
Abstract
OBJECTIVE: Parkinson's disease (PD) is associated with well-documented morphological changes in substantia nigra and basal ganglia nuclei. This study evaluates the ability of magnetic resonance imaging to detect these changes and investigates the relationship between severity of clinical findings and degree of morphological change. This correlation may provide valuable information in early diagnosis of PD. METHODS: Sixteen patients with early stage PD, eight patients with advanced PD, and eight normal controls were studied by 3T magnetic resonance imaging. The whole brain volume and the volumes of the caudate, putamen, globus pallidus, and substantia nigra were calculated on three-dimensional reconstructed images. RESULTS: Putamen volume was significantly diminished in patients with early PD and advanced PD compared with that in controls (P < 0.05), and the percentage of atrophy was 12.5 and 26.5%, respectively. The putamen volume was negatively correlated with Hoehn and Yahr staging (r = -0.720, P < 0.001). Pallidal volume was reduced only in advanced PD (P = 0.023). There were no significant differences in total brain, caudate, or substantia nigra among these three groups CONCLUSION: Magnetic resonance imaging-based volumetric measurement is a sensitive method in the assessment of morphological changes of PD in vivo. The putamen atrophy was correlated with the severity of clinical findings. The volumetric measurement of putamen could potentially be a useful indicator of PD in the early stage.
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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 | 0.002 |
| 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) | 0.000 | 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 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".