Alterations in cerebral perfusion and corresponding brain functional networks in NPSLE with cognitive impairment
Bibliographic record
Abstract
Abstract Background: Cognitive impairment (CI) frequently occurs in patients with systemic lupus erythematosus (SLE) and may result from neuroinflammation processes and vascular changes in the brain. The cerebral hemodynamics underlying SLE with CI (SLE-CI) remain unclear. We aimed to explore changes in cerebral blood flow (CBF) and intrinsic functional connectivity (FC) in patients with SLE-CI. Methods: We enrolled 97 patients with systemic lupus erythematosus (SLE) and 51 heathy controls (HCs) matched for age and gender. The CI status of patients was measured using the Montreal Cognitive Assessment (MoCA). Based on the findings, the patients were subdivided into two subgroups, the SLE-CI (n = 40) and SLE-NC (n = 57) subgroups. Sagittal three-dimensionT1-weighted (3D-T1), arterial spin labeling (ASL) and resting-state functional (rs-fMRI) sequences were obtained. Seed-based FC was calculated using the CBF results as regions of interest (ROIs). Correlation analysis was performed for further examination of differences in alterations and clinical scores between the patient subgroups. Results: Compared with patients with SLE-NC, patients with SLE-CI had higher CBF in the left hippocampus, thalamus, and cerebellum crus II and lower CBF in the left frontal lobe. Left hippocampus gray matter (GM) atrophy was detected in patients with SLE-CI but not in patients with SLE-NC. Secondary analyses revealed that compared with patients with SLE-NC, patients with SLE-CI had increased FC of the left insula gyrus when the left cerebellum crus II was set as the seed region and decreased FC in the homolateral parahippocampus when the left hippocampus was set as the seed region. Correlation analysis revealed that CBF in the left hippocampus, cerebellum, and thalamus was negatively associated with MoCA and memory scores and slightly positively associated with Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) scores. CBF in the left frontal lobe was positively associated with MoCA and visual space execution capability scores and slightly negatively associated with SLEDAI scores and serum double-stranded DNA (dsDNA) titer. Conclusion: The changes of structure, function, and network in hippocampus gray matter may be biomarkers of cognitive impairment in patients with NPSLE.
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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 | 0.000 | 0.001 |
| 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) | 0.003 | 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".