A Hypothesis-Generating Study Using Electrophysiology to Examine Cognitive Function in Colon Cancer Patients
Bibliographic record
Abstract
INTRODUCTION: The purpose of this study was to describe the trajectory of cognitive function using neuropsychological tests and electrophysiological measures in individuals receiving 5FU/oxaliplatin chemotherapy for colon cancer. METHODS: A total of 10 participants were tested at baseline (within 3 weeks of starting chemotherapy), 6 months (coinciding with the end of chemotherapy treatment), and 12 months (approximately 6 months post-chemotherapy). Participants completed neuropsychological tests and electrophysiology recordings of P300 event-related potential (ERP) elicited by a sustained attention to response task paired with experience sampling of attentional states (subjective reports of on-task or mind wandering). RESULTS: No change in mean neuropsychological test performance was observed. Comparison of mean P300 ERP amplitudes as a function of attentional states (on-task vs. mind wandering) revealed no main effect of attentional state observed at baseline or 6 months, but a significant effect of attention was observed at 12 months, consistent with effects observed in healthy individuals. CONCLUSIONS: Future studies can consider sustained attention constructs when studying cognitive function in colon cancer patients.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| 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".