FOC1-6VASCULAR REACTIVITY AS A SIGNIFICANT CONFOUND IN BOLD STUDIES OF ALCOHOL USE DISORDERS AND ALCOHOL ADMINISTRATION
Bibliographic record
Abstract
While blood oxygen level dependent (BOLD) fMRI has been instrumental in advancing the study of the neural mechanisms of AUDs and acute intoxication, interpretations of BOLD differences have largely ignored potential issues with neurovascular coupling. One component of neurovascular coupling known to affect the magnitude of BOLD signal change is vascular reactivity, a variable that is likely affected by binge drinking and acute alcohol administration. To investigate the effects of binge drinking and acute intoxication on vascular reactivity, the current study examined vascular reactivity in two samples using a breath holding task: a group of social and binge drinkers (n = 12/12), and a group of binge drinkers (n = 28) who completed an intravenous alcohol administration session. The hypercapnic state induced by breath holding results in an increase in the BOLD signal that is believed to occur largely in the absence of concomitant neural signaling, thus producing a measure of vasoactive capacity. Comparison of vascular reactivity maps in the social compared to binge drinkers revealed differences in bilateral striatum, thalamus, bilateral frontal and parietal cortex, and bilateral temporal lobes, with social drinkers showing greater vascular reactivity than binge drinkers. In the alcohol administration study, we found greater vascular reactivity in the control/sober condition than the intoxicated condition in bilateral frontal, occipital, and parietal cortices. The current results suggest that in order to understand the neural, as opposed to vascular, effects of binge drinking and acute alcohol administration, it will be critical to assess vascular reactivity and control for this confound in analyses.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".