Upregulation of Reward Mesolimbic Activity via fMRI-Neurofeedback Improves Vaccination Efficiency in Humans
Bibliographic record
Abstract
Abstract The placebo response is associated with a positive expectation of recovery. Recent studies in mice uncovered a potential underlying mechanism of placebo effects, by demonstrating the involvement of the dopaminergic mesolimbic pathway, previously implicated in reward expectation, in immune modulation. Yet, it is not known whether an analogous brain-immune regulatory mechanism exists in humans, and whether it employs conscious positive expectations. Here, we employed fMRI-neurofeedback to train healthy participants to increase their reward mesolimbic activity by using self-chosen mental strategies, followed by Hepatitis B Virus (HBV) vaccination. We found that stronger Ventral Tegmental Area (VTA) activity, but not control regions activation, was associated with higher post-vaccination HBV antibody titer. Interestingly, higher VTA activity before vaccination was associated with mental strategies characterized by positive expectation. Thus, our results establish a relationship between reward system activity, positive expectation and immunity in humans and reveal a potential neuropsychological mechanism for non-invasive immune modulation. https://clinicaltrials.gov/study/NCT03951870 .
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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) | 0.002 | 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".