Neural Stimulation of Prefrontal Cortex Improves Food‐Related Memory Suppression
Bibliographic record
Abstract
OBJECTIVE: Individuals with obesity often struggle to resist the temptation of palatable food, which may be linked to impaired inhibitory control-a crucial cognitive function for regulating eating behavior. Enhancing inhibitory control over food-related memories has been proposed as a potential intervention strategy for obesity. The right dorsolateral prefrontal cortex (dlPFC) plays a key role in regulating reward-driven impulses. However, it remains unclear whether neuromodulating the right dlPFC can selectively strengthen inhibitory control over food-related memories, particularly in individuals with overweight/obesity status who exhibit heightened reward sensitivity and diminished executive function. METHODS: This study employed a food Think/No-Think (TNT) training combined with HD-tDCS targeting the right dlPFC to assess its effects on inhibitory control over food-related memory in individuals with overweight/obesity. RESULTS: Both groups with healthy weight and overweight/obesity demonstrated significant improvements in memory suppression following anodal stimulation. Notably, individuals with overweight/obesity exhibited greater reductions in memory intrusion at the early stage, suggesting they may benefit more from anodal stimulation in resisting memory intrusions. CONCLUSIONS: These findings highlight the potential of combining neuromodulation with cognitive training as a promising intervention for obesity, providing both theoretical insights and empirical evidence for future prevention and treatment approaches.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".