Multimodal Brain Monitoring-Guided Anesthesia Management Improves Functional Connectivity, Enhances Recovery and Attenuates Postoperative Pain in Elderly Surgical Patients
Bibliographic record
Abstract
Purpose: Perioperative neurocognitive disorder (PND) is common in elderly surgical patients and severely affects postoperative recovery. However, effective prevention is still lacking. Potential perioperative cerebral stressors (including inappropriate sedative/analgesic depth and imbalanced cerebral oxygen supply/demand) may be important contributing factors. We developed an anesthesia management protocol based on multimodal brain monitoring to achieve standardized, individualized, and real-time regulation of sedative/analgesic depth and cerebral oxygen saturation and investigated whether it could reduce the incidence of PND and its underlying mechanisms. Patients and Methods: Patients (aged ≥ 65 years) were randomized into Groups C (n=88) and E (n=93). Patients in Group E received multimodal brain monitoring-guided anesthesia management, and those in Group C received BIS-guided anesthesia management. The Montreal Cognitive Assessment (MoCA) was performed both before and seven days after surgery. The postoperative pain scores were recorded. Resting-state functional MRI data were analyzed to examine functional connectivity (FC). Results: Group E demonstrated a numerically lower incidence of PND (15.50% vs 21.59% in Group C), but this difference was not statistically significant. Patients in Group E had increased FC within the right pulvinar, right sub-gyral region, and right inferior parietal lobule ( P < 0.05). Significantly lower pain scores were observed in Group E at rest (1h: P =0.04; 24h: P =0.04) and during movement (1h: P =0.03). Conclusion: These results suggest that multimodal brain monitoring-guided anesthesia management may protect neurocognition by enhancing FC within cognition-associated brain regions and attenuating postoperative acute pain. And multimodal brain monitoring-guided anesthesia management may confer a clinically relevant reduction in PND incidence compared to BIS-guided management in elderly surgical patients. Keywords: multimodal brain monitoring, elderly patients, perioperative neurocognitive disorders, functional connectivity, postoperative acute pain
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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 | 0.000 |
| 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) | 0.001 | 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".