Contribution of <sup>1</sup>H Spectroscopy to a Brief Cognitive-Functional Test Battery for the Diagnosis of Mild Alzheimer’s Disease
Bibliographic record
Abstract
BACKGROUND/AIMS: The diagnosis of mild or questionable Alzheimer's disease (AD) depends on clinical criteria that often leave a margin for doubt. We aim to verify the diagnostic accuracy of amnestic mild cognitive impairment (aMCI) and AD with proton spectroscopy (1H-MRS) combined with brief cognitive-functional scales. METHODS: The relationship between 1H-MRS of the posterior cingulate cortex and the cognitive performance in Mini Mental State Examination, Blessed-Roth Dementia Rating and Functional Assessment Staging of Alzheimer Disease scales were investigated in 25 AD, 10 aMCI and 33 normal control (NC) individuals. RESULTS: The N-acetylaspartate (NAA)/creatine and myoinositol/NAA ratios distinguished AD patients from NC (p<0.005), and added value in diagnostic accuracy and specificity by discriminant function analysis when combined to clinical diagnosis and simple neuropsychiatric scales; an increase of 3.7% (for aMCI patients) and of 5% (for AD individuals) was observed in diagnostic accuracy, and one of 5.5% (aMCI) and of 11.1% (AD) in specificity. CONCLUSION: 1H-MRS combined with brief cognitive-functional scales provided maximum diagnostic accuracy of AD patients, and can be useful when subtle cognitive and memory dysfunction is present.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 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".