Evaluation of the glymphatic system using the DTI-ALPS index in type 2 diabetes mellitus-induced cognitive impairment
Bibliographic record
Abstract
Objectives: The objective of the study is to assess the utility of the perivascular space diffusion tensor imaging - along the perivascular space (DTI-ALPS) index in evaluating the activity of the brain glymphatic system in patients with type 2 diabetes mellitus (T2DM) and cognitive impairment. Material and Methods: This study included 40 T2DM patients with cognitive impairment and 40 healthy controls (HCs). All participants underwent DTI, and the DTI-ALPS index was calculated based on relevant DTI parameters. Statistical analyses were performed using the Statistical Package for the Social Sciences version 26.0, with significance set at P < 0.05. Results: The DTI-ALPS index in T2DM patients with cognitive impairment were significantly lower than that of the HCs. A significant negative correlation was observed between the DTI-ALPS index and glycated hemoglobin levels, while positive correlations were found with vitamin D, Montreal Cognitive Assessment scores, and high-density lipoprotein cholesterol levels. Conclusion: This study confirms glymphatic dysfunction in T2DM patients with cognitive impairment, as indicated by the reduced DTI-ALPS index. Furthermore, it demonstrates the feasibility of utilizing the DTI-ALPS method to assess glymphatic system activity in this patient population.
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 | 0.016 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".