Notice bibliographique
Résumé
Fillmore and Weafer (2004) devised a modified stop-signal paradigm by adding cues predicting whether a go or no-go target will be presented, and manipulating the correctness of the information conveyed by the cues. They found that incorrect go cues preceding no-go targets resulted in more alcohol-induced failures to inhibit in men, but not in women. This is a new finding that raises many interesting questions about the factors and processes that might account for these effects. One possible answer to these questions stemmed from the evidence that subjective stimulation during rising blood alcohol concentrations (BACs) was higher in men than in women. This raised the possibility that heightened stimulation may contribute to inhibitory failures with incorrect go cues. A regression of these inhibitory failures on stimulation ratings could assist in evaluating this idea. Since greater sedation is commonly reported when BACs decline, it would also be interesting to determine whether the gender difference in these inhibitory failures abates on the declining limb of the BAC curve. The use of cues in the present research is similar to the procedure used in learning studies to investigate ‘preparatory set’ by manipulating the temporal regularity or correctness of cues for the response to be made (Mower 1940). Such work has shown that correct cues speed reaction time (RT) whereas incorrect cues slow RT. This accords with the cue effects on RT to go targets obtained in the current experiment. The slowing effect of incorrect cues on RT is thought to reflect the extra processing time needed to switch from one response and select another (Schmidt 1988). This RT switching has been used to test response flexibility under alcohol when drinkers try to inhibit a pre-potent response and make a different one (Easdon & Vogel-Sprott 2000). That research found failures to inhibit were associated with reduced flexibility. If alcohol-impaired flexibility contributes to inhibition failures with incorrect cues for no-go targets, the RT when inhibition fails may be slower following incorrect rather than correct cues. If it contributes to gender differences, this effect should be more pronounced in male than in female social drinkers. The stop-signal paradigm presents no predictive cues, and studies using the stop-signal task have shown that alcohol reliably reduces inhibitions to stop (no-go) targets (e.g. Mulvihill, Skilling & Vogel-Sprott 1997; de Wit, Crean & Richards 2000). In contrast, the present study showed that alcohol failed to affect inhibitions when cues correctly predicted a no-go target. This is a potentially important finding because it carries safety implications, suggesting that situations providing drinkers with correct cues for appropriate behavior may counteract the disinhibiting behavioral effects of alcohol. In contrast, the adverse effect of alcohol on inhibitory control may be more intense in settings that provide no cues, or incorrect ones. The cued go/no-go paradigm used by Fillmore and Weafer seems to have more ecological validity than the stop-signal paradigm because drinking situations commonly contain unreliable or ambiguous cues for appropriate behavior. Their experiment provides provocative findings that seem to parallel observations of more pronounced disinhibited, aggressive behavior in men than in women. The study also generates many interesting questions about the underlying mechanisms and factors that might account for these gender differences in inhibitory control. Additional research with the cued go/no-go task promises to add valuable insights on the puzzle of alcohol-impaired control of inhibition.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».