The Relationship Between Brainstem Structural Anatomical Parameters And Cognitive Function Impairment Based On The Indonesian Version Of Montreal Cognitive Assessment Score In Clinical Dementia Patients
Bibliographic record
Abstract
Dementia is a neurodegenerative disorder characterized by a significant decline in cognitive function. Some studies suggest that structural changes in the brainstem can contribute to cognitive impairment. However, the relationship between the structural anatomical parameters of the brainstem and cognitive function impairment based on the Indonesian version of the Montreal Cognitive Assessment (MoCA) Score in patients with clinical dementia is still not widely studied. This study is an analytical observational study involving 65 patients with clinical dementia who underwent a head MRI examination at Ngoerah Hospital, Denpasar, Bali. The analyzed brainstem structural anatomical parameters included the diameter of the midbrain anteroposterior (AP), midbrain-to-pons ratio, superior cerebellar peduncle (SCP) width, middle cerebellar peduncle (MCP) width, and interpeduncular angle. The relationship between these parameters and cognitive function was measured using the MoCA-Ina score and analyzed by correlation and logistic regression tests. The average diameter of the AP midbrain was 11.1 cm (± 1.63 cm), the median midbrain-to-pons ratio was 0.19, and the median width of SCP and MCP was 1.8 cm and 7.9 cm, respectively. The results of the analysis showed that there was a sufficient positive relationship between the diameter of the AP midbrain and the midbrain-to-pons ratio (r = 0.329, p < 0.001) and between the width of SCP and MCP and the midbrain-to-pons ratio (r = 0.432 and 0.279, p < 0.001). The midbrain-to-pons ratio and MCP width were significantly related to the MoCA-Ina score (r = 0.265 and 0.447, p < 0.001).
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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 | 0.001 | 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 | 0.001 |
| 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".