Using neuroimaging to uncover awareness in brain-injured and anesthetized patients
Why this work is in the frame
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Bibliographic record
Abstract
We cast a novel perspective on two distinct populations: patients who become accidentally intraoperatively aware after receiving general anesthesia and severely brain-injured patients who are diagnosed as being in a vegetative state. In both cases, patients are behaviorally non-responsive -and on this basis presumed to lack consciousness- yet, retain covert awareness. In both contexts, detecting consciousness is highly challenging, yet highly important for ensuring adequate patient care. Although great strides have been made in the development of depth-of-anesthesia monitors, these monitors have significant limitations. On the other hand, recent neuroimaging studies on severely brain-injured patients have developed neurobiologically-informed markers of conscious awareness that hold potential for improving monitoring of covert awareness during general anesthesia. Further research is required to determine the implementation of these assessments in the surgical context, and this approach provides promising avenues for improved detection of intraoperative awareness and prevention of accidental awareness under general anesthesia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 it