Center of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid 28040, Spain.
Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Universidad Complutense de Madrid, Madrid 28040, Spain.
Proc Natl Acad Sci U S A. 2024 Oct 15;121(42):e2320805121. doi: 10.1073/pnas.2320805121. Epub 2024 Oct 8.
Alcohol consumption during adolescence has been associated with neuroanatomical abnormalities and the appearance of future disorders. However, the latest advances in this field point to the existence of risk profiles which may lead to some individuals into an early consumption. To date, some studies have established predictive models of consumption based on sociodemographic, behavioral, and anatomical-functional variables using MRI. However, the neuroimaging variables employed are usually restricted to local and hemodynamic phenomena. Given the potential of connectome approaches, and the high temporal dynamics of electrophysiology, we decided to explore the relationship between future alcohol consumption and electrophysiological connectivity measured by MEG in a cohort of 83 individuals aged 14 to 16. As a result, we found a positive correlation between alcohol consumption and the functional connectivity in frontal, parietal, and frontoparietal connections. Once this relationship was described, multivariate linear regression analyses were used to evaluate the predictive capacity of functional connectivity in conjunction with other neuroanatomical and behavioral variables described in the literature. Finally, the multivariate linear regression analysis determined the importance of anatomical and functional variables in the prediction of alcohol consumption but failed to find associations with impulsivity, sensation seeking, and executive function scales. In conclusion, the predictive traits obtained in these models were closely associated with changes occurring during adolescence, suggesting the existence of different paths in neurodevelopment that have the potential to influence adolescents' relationship with alcohol consumption.
青少年时期的饮酒行为与神经解剖学异常和未来出现的障碍有关。然而,该领域的最新进展表明,存在一些风险特征可能导致某些个体早期饮酒。迄今为止,一些研究已经基于 MRI 利用社会人口统计学、行为和解剖-功能变量建立了消费预测模型。然而,所采用的神经影像学变量通常仅限于局部和血液动力学现象。鉴于连接组学方法的潜力和电生理学的高时间动态性,我们决定在一个由 83 名年龄在 14 岁至 16 岁的个体组成的队列中,通过 MEG 探索未来饮酒行为与电生理连通性之间的关系。结果,我们发现饮酒与额叶、顶叶和额顶叶连接的功能连通性之间存在正相关。一旦描述了这种关系,就使用多元线性回归分析来评估功能连通性与文献中描述的其他神经解剖和行为变量结合的预测能力。最后,多元线性回归分析确定了解剖和功能变量在预测饮酒方面的重要性,但未能发现与冲动性、感觉寻求和执行功能量表的关联。总之,这些模型中获得的预测特征与青少年时期发生的变化密切相关,这表明神经发育过程中存在不同的途径,有可能影响青少年与酒精消费的关系。