Neural Effects of Nicotine during Auditory Selective Attention in Smokers: An Event-Related Potential Study
Bibliographic record
Abstract
Acute nicotine has been found to improve task performance in smokers after smoking abstinence, but the attentional processes mediating these improvements are unclear. Since scalp-recorded event-related potentials (ERPs) have been shown to be sensitive indicators of selective attention, the effects of acutely administered nicotine were examined on ERPs and concomitant behavioural performance measures in an auditory selective attention task. Ten (6 males) overnight smoking-abstinent cigarette smokers received nicotine gum (4 mg) in a randomized, double-blind, placebo-controlled, crossover design. In a dichotic listening task [which required participants to attend and detect (target) deviant stimuli in one ear and to ignore similar stimuli in the other ear] which included ERP recordings and assessment of response speed and accuracy measures, nicotine gum failed to alter behavioural performance or amplitudes of ERP components sensitive to selective attention [reflected in the N100 and negative difference (Nd) component] or to pre-attentive detection of acoustic change [reflected in the mismatch negativity (MMN) component]. However, nicotine did influence the speed of these voluntary selective processes, as reflected by shortened latencies of the early Nd component. The findings are discussed in relation to the stimulus filter theory of smoking, and with respect to nicotine's actions on involuntary and controlled aspects of selective attention processes.
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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".