脑白质高信号与认知功能障碍：基于FLAIR高信号的定量研究 Quantitative Analysis on Correlation between Cognitive Impairment and Cerebral White Matter Hyperintensityon FLAIR Sequence
Bibliographic record
Abstract
目的 利用半自动化分析软件对脑白质疏松患者不同区域白质损伤进行定量，并对其与认知功能评 分进行偏相关分析。 方法 2011年1月-2017年1月在北京天坛医院进行健康体检的50～85岁社区“健康”人群63例，对 其进行认知功能评价[简易精神状态量表（mi ni -mental state examination，MMSE）、蒙特利尔认知量表 （Montreal cognitive assessment，MoCA）]及影像学数据采集，基于液体衰减反转恢复序列定量计算全脑、 侧脑室旁及深部皮层下脑白质受损体积，将认知功能评分与以上白质受损体积进行偏相关分析，探 索白质受损在认知障碍发生发展过程中所起的作用。 结果 控制年龄、性别、文化程度后，全脑白质体积与MMSE评分、MoCA评分有偏相关性（R’=-0.428， P =0.001）（R’=-0.539，P＜0.001），尤其是侧脑室旁白质体积（R’=-0.427，P =0.001）（R’=-0.559，P ＜0.001），与深部皮层下白质也存在偏相关性（R’=-0.365，P =0.004）（R’=-0.447，P＜0.001）。 结论 全脑、侧脑室旁、深部皮层下脑白质损伤体积增大，认知功能评分随之下降；MMSE评分、 MoCA评分与侧脑室旁白质损伤之间的相关性较深部皮层下白质损伤更大。 Abstract: Objective To analyze white matter hyperintensity (WMH) in different brain regions in patients with cerebral leukoaraiosis using semi-automatic quantitative analysis software, and analyze the partial correlation of WMH and cognitive impairment. Methods A total of 63 ‘healthy’ community subjects (50-85 years) who had a physical examination in Beijing Tiantan hospital from January 2011 to January 2017 were included in this study. The cognitive function of all subjects were assessed using mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA). We quantitatively analyzed the WMH in the whole brain, periventricular and deep cortex on fluid attenuated inversion recovery (FLAIR) sequence, which represented white matter lesion, and made a partial correlation analysis of the volume of white matter lesion and cognitive function score, to investigate the role of white matter lesion in the development of cognitive impairment. Results After adjusting for age, gender and education level, the volume of whole brain white matter lesion still had a partial correlation with MMSE and MoCA scores (R’=-0.428, P =0.001; R’=-0.539, P <0.001, respectively), and so did periventricular white matter lesion (R’=-0.427, P =0.001; R’=-0.559, P <0.001, respectively) and deep cortex white matter lesion (R’=-0.365, P =0.004; R’=-0.447, P <0.001, respectively). Conclusions There is a positive correlation between cognitive impairment severity and cerebral white matter lesion volume, especially white matter lesion in periventricular region.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".