Greater alcohol intake predicts accelerated brain aging in humans, which mediates the relationship between alcohol intake and behavioral inflexibility

IF 3 Q2 SUBSTANCE ABUSE
Jillian T. Battista, Elena Vidrascu, Madeline M. Robertson, Donita L. Robinson, Charlotte A. Boettiger
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Abstract

Background

Hazardous use of alcohol is associated with cognitive-behavioral impairments and accelerated aging. To date, however, accelerated brain aging has not been tested as a mediating factor between alcohol use and associated task-based behavioral deficits, such as behavioral inflexibility. Here, we evaluated hazardous alcohol use as a predictor of machine learning-derived brain aging and tested if this measure accounted for the relationship between hazardous alcohol use and a task-based measure of behavioral flexibility.

Methods

In this secondary analysis, we applied brainageR, a machine learning algorithm, to anatomical T1-weighted magnetic resonance imaging (MRI) images to estimate brain age for a sample of healthy adults (ages 22–40) who self-reported alcohol use with the alcohol use disorder identification test (AUDIT) and performed the hidden association between images task (HABIT), a behavioral flexibility task. Behavioral inflexibility was quantified as the proportion of perseverative errors performed on the HABIT as a measure of habitual action selection. We then analyzed AUDIT score as a predictor of brain aging, and brain aging as a predictor of behavioral inflexibility. Lastly, we conducted a mediation analysis to evaluate brain aging as a mediator between alcohol use and behavioral inflexibility.

Results

Controlling for chronological age and sex, a higher AUDIT score predicted significantly more accelerated brain aging, which was further associated with more perseverative errors on the HABIT. Moreover, brain aging significantly mediated the association between AUDIT scores and behavioral inflexibility.

Conclusions

Our findings demonstrate that alcohol use is a significant predictor of accelerated brain aging, even in young adulthood. In addition, our findings suggest that such brain changes may mechanistically link more hazardous alcohol use to impaired behavioral flexibility. Future studies should also explore factors, such as other lifestyle behaviors, that may mitigate alcohol- and age-related processes.

Abstract Image

更多的酒精摄入预示着人类大脑的加速衰老,这就调解了酒精摄入和行为不灵活之间的关系。
背景:危险使用酒精与认知行为障碍和加速衰老有关。然而,迄今为止,大脑加速衰老还没有作为酒精使用和相关的基于任务的行为缺陷(如行为不灵活)之间的中介因素进行测试。在这里,我们评估了危险酒精使用作为机器学习衍生的大脑衰老的预测因子,并测试了该测量是否解释了危险酒精使用与基于任务的行为灵活性测量之间的关系。方法:在这一次要分析中,我们将brainageR(一种机器学习算法)应用于解剖学t1加权磁共振成像(MRI)图像,以估计健康成年人(22-40岁)样本的大脑年龄,这些成年人通过酒精使用障碍识别测试(AUDIT)自我报告饮酒,并执行图像隐藏关联任务(HABIT),这是一项行为灵活性任务。行为不灵活性被量化为在习惯上执行的持久性错误的比例,作为习惯行动选择的衡量标准。然后,我们分析了审计分数作为大脑老化的预测因子,以及大脑老化作为行为不灵活性的预测因子。最后,我们进行了一项中介分析,以评估脑老化在酒精使用和行为不灵活性之间的中介作用。结果:在控制实足年龄和性别的情况下,较高的AUDIT分数预示着大脑衰老速度的显著加快,这进一步与习惯上更多的持久性错误相关。此外,大脑老化显著介导了审计得分与行为不灵活性之间的关联。结论:我们的研究结果表明,饮酒是大脑加速衰老的重要预测因素,即使是在年轻的成年期。此外,我们的研究结果表明,这种大脑变化可能在机制上将更危险的酒精使用与行为灵活性受损联系起来。未来的研究还应该探索可能减轻酒精和年龄相关过程的因素,如其他生活方式行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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