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冲动性和神经质与青少年酒精使用风险具有不同的功能连接特征。

Impulsivity and neuroticism share distinct functional connectivity signatures with alcohol-use risk in youth.

作者信息

Cheng Annie, Lichenstein Sarah, Chaarani Bader, Liang Qinghao, Babaeianjelodar Marzieh, Riley Steven J, Luo Wenjing, Horien Corey, Greene Abigail S, Banaschewski Tobias, Bokde Arun L W, Desrivières Sylvane, Flor Herta, Grigis Antoine, Gowland Penny, Heinz Andreas, Brühl Rüdiger, Martinot Jean-Luc, Martinot Marie-Laure Paillère, Artiges Eric, Nees Frauke, Papadopoulos Orfanos Dimitri, Poustka Luise, Hohmann Sarah, Holz Nathalie, Baeuchl Christian, Smolka Michael N, Vaidya Nilakshi, Walter Henrik, Whelan Robert, Schumann Gunter, Constable R Todd, Pearlson Godfrey, Garavan Hugh, Yip Sarah W

机构信息

Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.

Department of Psychiatry, University of Vermont, Burlington, VT, USA.

出版信息

Mol Psychiatry. 2025 Sep 5. doi: 10.1038/s41380-025-03196-6.

Abstract

Increases in impulsivity and negative affect (e.g., neuroticism) are common during adolescence and are both associated with risk for alcohol-use initiation and other risk behaviors. Whole-brain functional connectivity approaches-when coupled with appropriate cross-validation-enable identification of complex neural networks subserving individual differences in dimensional traits (hereafter referred to as 'neural signatures'). Here, we analyzed functional connectivity data acquired at age 19 from individuals enrolled in a multisite European study of adolescent development (N ~ 1100) using connectome-based predictive modeling. Network anatomies of these dimensional phenotypes were compared with one another and with a previously identified alcohol-use risk network to identify shared and unique neural mechanisms. Models accurately predicted both impulsivity and neuroticism (r's ~ 0.17-0.19, p's < 0.05), and successfully generalized to an external sample. The impulsivity network was predominantly characterized by motor/sensory-related connections. By contrast, the neural signature of neuroticism was relatively more distributed across multiple canonical networks, including motor/sensory, default mode, subcortical, frontoparietal and cerebellar networks. Very few connections were common to both impulsivity and neuroticism networks. Moreover, while ~10-20% of the connections from each trait overlapped with the alcohol-use risk network, these connections were distinct between the two traits. This study for the first time identifies functional connectivity signatures of two common risk factors for alcohol-use in youth-impulsivity and neuroticism. Consistent with current equifinality-based conceptions of development, few connections predicted both impulsivity and neuroticism, indicating that the neural signatures of these two traits are relatively distinct despite both being implicated in alcohol-use risk and a wide array of behaviors.

摘要

冲动性和消极情绪(如神经质)的增加在青少年时期很常见,且都与开始饮酒及其他风险行为的风险相关。全脑功能连接方法——与适当的交叉验证相结合——能够识别出维持维度特征个体差异的复杂神经网络(以下简称“神经特征”)。在此,我们使用基于连接组的预测模型,分析了来自一项欧洲多中心青少年发育研究(N≈1100)的19岁个体的功能连接数据。将这些维度表型的网络结构相互比较,并与先前确定的饮酒风险网络进行比较,以识别共同和独特的神经机制。模型准确地预测了冲动性和神经质(r值约为0.17 - 0.19,p值<0.05),并成功推广到外部样本。冲动性网络主要以与运动/感觉相关的连接为特征。相比之下,神经质的神经特征相对更广泛地分布在多个典型网络中,包括运动/感觉、默认模式、皮层下、额顶叶和小脑网络。冲动性和神经质网络很少有共同的连接。此外,虽然每个特征约10 - 20% 的连接与饮酒风险网络重叠,但这些连接在两个特征之间是不同的。本研究首次确定了青少年饮酒的两个常见风险因素——冲动性和神经质——的功能连接特征。与当前基于等效性的发展观念一致,很少有连接能同时预测冲动性和神经质,这表明这两个特征的神经特征相对不同,尽管它们都与饮酒风险和一系列行为有关。

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