Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632
Division of Population and Behavioral Science, Medical School, University of St Andrews, KY16 9TF St Andrews, Scotland.
J Neurosci. 2023 Aug 2;43(31):5685-5692. doi: 10.1523/JNEUROSCI.2157-21.2022. Epub 2023 Jan 30.
Alcohol-related morbidities and mortality are highly prevalent, increasing the burden to societies and health systems with 3 million deaths globally each year in young adults directly attributable to alcohol. Cue-induced alcohol craving has been formulated as a type of aberrant associative learning, modeled using temporal difference theory with an expected reward value (ERV) linked to craving. Clinically, although harmful use of alcohol is associated with increased time spent obtaining and using alcohol, it is also associated with self-neglect. The latter implies that the motivational aspects of nonalcohol stimuli are blunted. Using an instrumental learning task with non-alcohol-related stimuli, here, we tested hypotheses that the encoding of cue signals (ERV) predicting reward delivery would be blunted in binge alcohol drinkers in both sexes. We also predicted that for the binge drinking group alone, ratings of problematic alcohol use would correlate with abnormal ERV signals consistent with between groups (i.e., binge drinkers vs controls) abnormalities. Our results support our hypotheses with the ERV (nonalcohol cue) signal blunted in binge drinkers and with the magnitude of the abnormality correlating with ratings of problematic alcohol use. This implies that consistent with hypotheses, the motivational aspects of non-alcohol-related stimuli are blunted in binge drinkers. A better understanding of the mechanisms of harmful alcohol use will, in time, facilitate the development of more effective interventions, which should aim to decrease the motivational value of alcohol and increase the motivational value of non-alcohol-related stimuli. Allostasis theory predicts specific abnormalities in brain function and subjective experiences that occur when people develop drug problems including addiction. Cue-induced alcohol craving has been formulated as a type of aberrant associative learning, modeled using temporal difference theory with ERV linked to craving. Here, we used an instrumental learning task with non-alcohol-associated stimuli to test hypotheses that the encoding of nonalcohol cue signals (ERV) and reward prediction error signals showed blunting in binge alcohol drinkers. We conclude that fMRI can be used to noninvasively test allostasis and associative learning theory predictions in binge drinkers.
酒精相关的发病率和死亡率非常普遍,每年全球有 300 万人因酒精直接导致年轻人死亡,这给社会和卫生系统带来了沉重负担。线索诱发的酒精渴求已被表述为一种异常的联想学习类型,使用时间差分理论建模,与渴求相关的是预期奖励值 (ERV)。临床上,尽管酒精的有害使用与获得和使用酒精的时间增加有关,但它也与自我忽视有关。后者意味着非酒精刺激的动机方面减弱了。使用与酒精无关的刺激的工具性学习任务,我们在这里测试了以下假设:在男女两性中,预测奖励传递的线索信号 (ERV) 的编码在狂欢性饮酒者中会减弱。我们还预测,对于狂欢性饮酒组,与问题性饮酒相关的评分将与异常 ERV 信号相关,这与组间(即狂欢性饮酒者与对照组)异常一致。我们的结果支持我们的假设,即狂欢性饮酒者的 ERV(非酒精线索)信号减弱,并且异常的严重程度与问题性饮酒评分相关。这意味着与假设一致,狂欢性饮酒者对非酒精相关刺激的动机方面减弱了。随着时间的推移,对有害性饮酒机制的更好理解将促进更有效的干预措施的发展,这些干预措施应旨在降低酒精的动机价值,并提高非酒精相关刺激的动机价值。适应理论预测了当人们出现药物问题(包括成瘾)时,大脑功能和主观体验会出现特定的异常。线索诱发的酒精渴求已被表述为一种异常的联想学习类型,使用时间差分理论建模,与渴求相关的是预期奖励值 (ERV)。在这里,我们使用与非酒精相关刺激的工具性学习任务来测试以下假设:非酒精线索信号 (ERV) 和奖励预测误差信号的编码在狂欢性饮酒者中表现出减弱。我们的结论是,fMRI 可用于非侵入性地测试狂欢性饮酒者的适应和联想学习理论预测。