Cheng Annie, Riley Steven J, Kohler Robert J, Umutoni Feza Anaise, Potenza Marc N, Lichenstein Sarah D, Holmes Avram J, Bzdok Danilo, Yip Sarah W
Yale School of Medicine, Department of Psychiatry, New Haven, CT, USA.
Yale University, Wu Tsai Institute and School of Medicine, Departments of Child Study and Neuroscience, New Haven, CT, USA.
bioRxiv. 2025 Jun 6:2025.06.06.658318. doi: 10.1101/2025.06.06.658318.
Impulsivity is a multifaceted construct that typically increases during adolescence and is implicated in risk for substance use disorders that develop later in life. Here, we take a multivariate approach to identify latent dimensions of impulsivity, broadly defined, among youth enrolled in the Adolescent Brain and Cognitive Development (ABCD) study and explore associations with individual differences in demographics, substance-use initiation and canonical resting state networks (N=11,872, ages ~9-10). Using principal component analysis, we identified eight latent impulsivity dimensions, the top three of which together accounted for the majority of the variance across all impulsivity assessments. The first principal component (PC1) was a general impulsivity factor that mapped onto all impulsivity-related assessments. PC2 mapped onto a 'mixed' impulsivity style related to both poorer, less attentive performance on the SST and decreased delay discounting. PC3 linked externalizing behaviors across multiple measures with indices of delay discounting, making delay discounting the only impulsivity-related assessment to load on all three of the top PCs. Multiple impulsivity PCs were significantly associated with subsequent initiation of alcohol and cannabis use. Finally, we found both cross-sectional and longitudinal associations between the PCs and functional connectivity between and within frontoparietal, cingulo-opercular, and default mode networks. These data provide a critical empirical baseline for how facets of impulsivity covary in early adolescence which may be tracked through future waves of ABCD data, enabling longitudinal elucidation of how dimensions of impulsivity interact with other individual and environmental factors to influence risk for substance use later in life.
冲动性是一个多维度的概念,在青少年时期通常会增加,并与日后出现的物质使用障碍风险有关。在此,我们采用多变量方法来识别参与青少年大脑与认知发展(ABCD)研究的青少年中广义定义的冲动性潜在维度,并探讨其与人口统计学、物质使用起始情况以及典型静息态网络中的个体差异之间的关联(N = 11872,年龄约9 - 10岁)。通过主成分分析,我们识别出八个潜在的冲动性维度,其中前三个维度共同解释了所有冲动性评估中大部分的方差。第一个主成分(PC1)是一个通用的冲动性因子,与所有与冲动性相关的评估指标相关。PC2与一种“混合”冲动性风格相关,这种风格既与在停止信号任务(SST)中较差、注意力不集中的表现有关,也与延迟折扣降低有关。PC3将多种测量方法中的外化行为与延迟折扣指标联系起来,使得延迟折扣成为唯一在所有三个顶级主成分上都有载荷的与冲动性相关的评估指标。多个冲动性主成分与随后的酒精和大麻使用起始情况显著相关。最后,我们发现主成分与额顶叶、扣带回 - 脑岛以及默认模式网络之间和内部的功能连接存在横断面和纵向关联。这些数据为冲动性各方面在青春期早期如何共同变化提供了关键的实证基线,这可以通过ABCD数据的未来批次进行追踪,从而能够纵向阐明冲动性维度如何与其他个体和环境因素相互作用,以影响日后生活中的物质使用风险。