Theta and alpha activity changes in patients with vascular cognitive disorder following cognitive rehabilitation after coronary artery bypass grafting
Bibliographic record
Abstract
Disruption of cerebral circulation, caused by atherosclerosis or cardiac surgery, is often associated with cognitive disorders (CD). The identification and implementation of effective strategies for CD prevention require monitoring of neurophysiological changes that accompany rehabilitation. The study aimed to investigate the changes in theta and alpha brain activity in patients with and without vascular cognitive disorder (VCD) who underwent cognitive rehabilitation in the early postoperative period following coronary artery bypass grafting (CABG). The study involved 104 patients, 51 of whom participated in a combined multitasking training program during the early postoperative phase. A comparison group of 53 patients was also included. VCD symptoms were identified in patients from both groups prior to CABG using a modified version of the Montreal Cognitive Assessment (MoCA) test. Electroencephalographic (EEG) recordings were taken in a resting state with closed eyes, 3–5 days prior to CABG and at 11–12 days post-surgery. It was found that patients without VCD who underwent training exhibited no increase in theta activity after CABG compared to patients with VCD (p=0.017). In contrast, the control group demonstrated an increase in theta activity post-CABG, irrespective of the VCD status. These findings highlight the negative adverse impact of VCD on brain activity during cognitive rehabilitation. Further research is needed to explore the neurophysiological mechanisms underlying cognitive function recovery following cardiac surgery.
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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 | 0.000 | 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".