Network centrality alterations in patients with moyamoya disease after combined revascularization surgery: a resting-state fMRI study
Bibliographic record
Abstract
OBJECTIVE: This study aimed to explore alterations in brain network characteristics among patients with moyamoya disease (MMD) before and after combined revascularization surgery (CRS). METHODS: This investigation enrolled 20 MMD patients alongside 20 age- and sex-matched healthy controls (HCs). All participants underwent MRI scans. Additionally, MMD patients were subjected to comprehensive clinical assessments. Degree centrality (DC) analysis was utilized to assess the connectivity features of the entire brain network. The study also examined correlations between DC values in MMD patients before- (pre-CRS) and after-CRS (post-CRS) and various clinical indicators. RESULTS: Compared with HCs, pre-CRS MMD patients showed abnormal DC values in multiple brain regions, mainly including the cerebellum, frontal lobe, temporal lobe, and cingulate gyrus. One year after CRS treatment, the DC values of the bilateral cerebellum posterior lobe showed a reverse increase. In addition, the DC value of the right cerebellum posterior lobe in pre-CRS MMD patients was positively correlated with the Montreal cognitive assessment scores. CONCLUSIONS: CRS treatment can effectively improve the functional network damage of the bilateral cerebellum posterior lobes caused by MMD, and it is expected to provide a new neuroimaging marker for the evaluation of CRS treatment efficacy.
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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 | 0.001 |
| 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".