Measurement of brain metabolites by 1H-MR spectroscopy in patients with Alzheimer disease: a Meta analysis
Bibliographic record
Abstract
Objective To have a systemic review of the association between relative ratio in proton magnetic resonance spectroscopy (1H-MRS) and Alzheimer's disease (AD). Methods A search in Medline and China National Knowledge Infrastructure (CNKI) was performed,and relevant English and Chinese-language articles about assessing AD with 1 H-MRS were identifed.The data of relative metabolic ratios (NAA/Cr,Cho/Cr,mI/Cr ) from different brain regions (hippocampus,posterior cingulate gyrus,temporal lobe,parietal lobe,frontal lobe,occipital lobe) were extracted from the articles.The quality of the articles was evaluated according to the standard recommended by Newcastle-Ottawa criteria. The Meta-analysis was done with the Review Manager 4.2 to calculate pooled weighted mean difference (WMD) with 95％ confidence interval (95％ CI ),and linear correlation analysis between NAA/Cr ratio and mI/Cr ratio was done by SPSS 17.0.Results Thirty six articles (27 English articles,9 Chinese articles) were included. After heterogeneity test was done,fixed effects model or random effects model was selected. The meta-analysis showed that the NAA/Cr ratio in patients with AD was higher than that in controls ( WMD:-0.14,95％CI:-0.17 to -0.11 ).The mI/Cr ratio in patients with AD was lower than that in controls ( WMD:0.10,95％ CI:0.07 to 0.13 ).There were greatest changes in NAA/Cr ratio and mI/Cr ratio on the hippocampus ( WMD of NAA/Cr: - 0.27,95％ CI:- 0.36 to - 0.19 ; WMD of mI/Cr:0.21,95％ CI:0.10 to 0.33). There were also no differences between patients with AD and controls with respect to the Cho/Cr ratio (WMD:0.01,95％ CI:0.00 to 0.01,P ＞0.05). The NAA/Cr and mI/Cr changes are markedly correlated with each other in different brain regions ( r =0.947,P =0.004). Conclusion The hippocampus region is the first to present neuropathological changes in AD and the changes of NAA/Cr and MI/Cr might reflect the neurodegenerative process of AD. Key words: Alzheimer disease ; Magnetic resonance spectroscopy ; Meta analysis
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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 | 0.016 | 0.027 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.041 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".