Annie Cheng, Sarah Lichenstein, Bader Chaarani, Qinghao Liang, Marzieh Babaeianjelodar, Steven J. Riley, Wenjing Luo, Corey Horien, Abigail S. Greene, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Nathalie Holz, Christian Baeuchl, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, R. Todd Constable, Godfrey Pearlson, Hugh Garavan, Sarah W. Yip
{"title":"冲动和神经质与青少年酒精使用风险具有明显的功能连接特征","authors":"Annie Cheng, Sarah Lichenstein, Bader Chaarani, Qinghao Liang, Marzieh Babaeianjelodar, Steven J. Riley, Wenjing Luo, Corey Horien, Abigail S. Greene, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Nathalie Holz, Christian Baeuchl, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, R. Todd Constable, Godfrey Pearlson, Hugh Garavan, Sarah W. Yip","doi":"10.1038/s41380-025-03196-6","DOIUrl":null,"url":null,"abstract":"<p>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. 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引用次数: 0
摘要
冲动和负面影响(例如,神经质)的增加在青春期很常见,并且都与开始使用酒精和其他危险行为的风险有关。全脑功能连接方法-当与适当的交叉验证相结合时-能够识别服务于维度特征个体差异的复杂神经网络(以下称为“神经特征”)。在这里,我们使用基于连接体的预测模型分析了19岁时来自欧洲青少年发展多站点研究(N ~ 1100)的个体的功能连接数据。这些维度表型的网络解剖学相互比较,并与先前确定的酒精使用风险网络进行比较,以确定共享和独特的神经机制。模型准确地预测了冲动性和神经质(r 's ~ 0.17-0.19, p 's < 0.05),并成功地推广到外部样本。冲动性网络主要以运动/感觉相关连接为特征。相比之下,神经质的神经特征分布在多个典型网络中,包括运动/感觉网络、默认模式网络、皮层下网络、额顶叶网络和小脑网络。冲动网络和神经质网络之间很少有共同的联系。此外,虽然每个性状中约10-20%的连接与酒精使用风险网络重叠,但这些连接在两个性状之间是不同的。这项研究首次确定了青少年酒精使用的两个常见危险因素-冲动性和神经质的功能连接特征。与目前基于均等性的发展概念一致,很少有联系能预测冲动和神经质,这表明这两种特征的神经特征相对不同,尽管两者都与酒精使用风险和一系列广泛的行为有关。
Impulsivity and neuroticism share distinct functional connectivity signatures with alcohol-use risk in youth
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.
期刊介绍:
Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.