302 Resting state functional connectivity in SLE patients and association with cognitive impairment and blood-brain barrier permeability
Bibliographic record
Abstract
Objective Cognitive impairment (CI) is the most frequent manifestation of neuropsychiatric systemic lupus erythematosus (NPSLE), yet the mechanisms underlying it remain poorly understood. We have previously reported an association between enhanced permeability of the blood-brain barrier (BBB), loss of grey matter volume and cognitive impairment in SLE patients. This study examined the associations of brain functional connectivity (FC) with CI and BBB dysfunction among patients with SLE. Methods Cognitive function was assessed by neuropsychological testing (n=77). Resting-state FC (rsFC) between brain regions, measured by functional MRI (n=78), assessed coordinated neural activation in 131 regions across five canonical brain networks. BBB permeability was measured by dynamic contrast-enhanced MRI (DCE-MRI) (n=61). Differences in rsFC were compared between SLE patients with CI (SLE-CI) and those with normal cognition (SLE-NC), between SLE patients with and without extensive BBB leakage, and with healthy controls. Results A whole-brain rsFC comparison found significant differences in intra-network and inter- network FC in SLE-CI versus SLE-NC patients. The affected connections showed a reduced negative rsFC in SLE-CI compared to SLE-NC and healthy controls. Similarly, a reduced number of brain-wide connections was found in SLE-CI patients compared to SLE-NC (P=0.030) and healthy controls (P=0.006). Specific brain regions had a lower total number of brain-wide connections in association with extensive BBB leakage (P=0.011). Causal mediation analysis revealed that 64% of the association between BBB leakage and CI in SLE patients was mediated by alterations in FC. Conclusion SLE patients with CI had abnormalities in brain rsFC which accounted for most of the association between extensive BBB leakage and CI.
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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 | 0.001 | 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) | 0.002 | 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".