Deep TMS on alcoholics: effects on cortisolemia and dopamine pathway modulation. A pilot study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The hypothalamic pituitary adrenal axis and dopamine have a key role in transition from alcohol social use to addiction. The medial prefrontal cortex was shown to modulate dopaminergic activity and cortisol releasing factor (CRF) release in hypothalamic and extra-hypothalamic systems. The recent advancements in non-invasive neurostimulation technologies has enabled stimulation of deeper brain regions using H-coil transcranial magnetic stimulation (TMS) in humans. This randomized double-blind placebo-controlled pilot study aims to evaluate H-coil efficacy in stimulating the medial prefrontal cortex. Cortisolemia and prolactinemia were evaluated as effectiveness markers. Alcohol intake and craving were considered as secondary outcomes. Eighteen alcoholics were recruited and randomized into 2 homogeneous groups: 9 in the real stimulation group and 9 in the sham stimulation group. Repetitive TMS (rTMS) was administered through a magnetic stimulator over 10 sessions at 20 Hz, directed to the medial prefrontal cortex. rTMS significantly reduced blood cortisol levels and decreased prolactinemia, thus suggesting dopamine increase. Craving visual analogic scale (VAS) in treated patients decreased, as well as mean number of alcoholic drinks/day and drinks on days of maximum alcohol intake (DMAI). In the sham group there was no significant effect observed on cortisolemia, prolactinemia, mean number of alcoholic drinks/day, or drinks/DMAI. Thus, deep rTMS could be considered a potential new treatment for alcoholism.
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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 it