Self-Referential Processing: An Investigation of the Mediating Role of Alpha Power
Bibliographic record
Abstract
The EEG correlates of valenced self- and other-referential processing (SRP-ORP) are relatively little understood. This study examined the immediate effects of mindfulness meditation (MM) and EEG alpha neurofeedback (NFB) on resting state EEG alpha amplitudes and alpha event related (de-)synchronization (ERD/S) during an experimental implicit and explicit SRP-ORP task. Undergraduate students (n = 93) were randomized to a single session of MM, NFB alpha synchronization training (“alpha-up”), NFB alpha desynchronization training (“alpha-down”), or sham (placebo control) NFB before completing the Visual-Verbal Self-Other Referential Processing Task (VV-SORP-T). A reduction in resting-state alpha power over posterior cortex was observed across groups relative to pre-treatment baseline, with no differential effects observed between groups. During both SRP and ORP, however, less negative affect (NA) was experienced by participants in the alpha-down group. Alpha ERD was highest during negative ORP relative to other task conditions across groups, with the alpha-down group trending toward showing increased ERD across all conditions of the VV-SORP-T relative to the alpha-up group. Study limitations and future research directions are discussed.
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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".