The correlation of whole brain apparent diffusion coefficient with neurological impairment, Hcy metabolism and oxygen free radical generation in patients with Alzheimer′s Disease
Bibliographic record
Abstract
Objective To study the correlation of whole brain apparent diffusion coefficient (ADC) with neurological impairment, homocysteine (Hcy) metabolism and oxygen free radical generation in patients with Alzheimer′s disease (AD). Methods The patients diagnosed as AD in Xuanwu Hospital of Capital Medical University from March 2014 to December 2017 were selected as AD group and healthy persons as control group. The ADC of whole brain was calculated after magnetic resonance scanning. The degree of neurological impairment was evaluated by Montreal Cognitive Function Assessment Scale (MoCA). The levels of Hcy metabolic index and oxygen free radical production were measured after collecting serum. Results ADC values of AD group in parietal lobe, frontal lobe, temporal lobe and occipital lobe were not significantly different from those of control group (P>0.05). The ADC value of hippocampus as well as serum Hcy, malondialdehyde (MDA) and nitric oxide (NO) contents were significantly higher than those of control group, while MoCA score as well as folic acid (FA), vitamin B12 (VitB12), superoxide dismutase (SOD) and glutathione peroxidase (GSH) contents in serum were significantly lower than those of control group (P<0.05); ADC value of hippocampus in AD patients was negatively correlated with MoCA score as well as serum FA, VitB12, SOD and GSH contents, and positively correlated with serum Hcy, MDA and NO contents. Conclusions The increased ADC value of hippocampus in AD patients was related to the cognitive function injury, Hcy metabolism disorder and excessive generation of oxygen free radicals. Key words: Alzheimer disease; Diffusion tensor imaging; Cognitive dysfunction; Homocysteine; Reactive oxygen species
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".