从青春期到成年期,持续注意力的强大大脑网络可预测日后的药物使用情况

IF 6.4 1区 生物学 Q1 BIOLOGY
Yihe Weng, Johann Kruschwitz, Laura M Rueda-Delgado, Kathy L Ruddy, Rory Boyle, Luisa Franzen, Emin Serin, Tochukwu Nweze, Jamie Hanson, Alannah Smyth, Tom Farnan, Tobias Banaschewski, Arun LW Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Jane McGrath, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomas Paus, Luise Poustka, Nathalie Holz, Juliane Fröhner, Michael N Smolka, Nilakshi Vaidya, Gunter Schumann, Henrik Walter, Robert Whelan, IMAGEN Consortium
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引用次数: 0

摘要

包括香烟和大麻在内的药物使用与青少年晚期和成年早期持续注意力较差有关。以前的研究主要是横断面研究,或者研究力量不足,无法说明持续注意力的减退是药物使用的预测因素还是此类行为倾向的标志。本研究通过对 1000 多名参与者从 14 岁到 23 岁的纵向跨度,探讨了持续注意力与药物使用之间的关系。14岁时与持续注意力减弱相关的行为和大脑连通性预示着随后吸食大麻和香烟的增加,从而将持续注意力确立为易滥用药物的可靠生物标志物。与持续注意力相关的网络强度的个体差异在各个发育阶段都得到了保留,持续注意力网络在外部数据集的参与者中也得到了推广。总之,持续注意力的大脑网络是稳健的、一致的,并且能够预测日后药物使用的各个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance use or a marker of the inclination to engage in such behavior. This study explored the relationship between sustained attention and substance use across a longitudinal span from ages 14 to 23 in over 1000 participants. Behaviors and brain connectivity associated with diminished sustained attention at age 14 predicted subsequent increases in cannabis and cigarette smoking, establishing sustained attention as a robust biomarker for vulnerability to substance use. Individual differences in network strength relevant to sustained attention were preserved across developmental stages and sustained attention networks generalized to participants in an external dataset. In summary, brain networks of sustained attention are robust, consistent, and able to predict aspects of later substance use.
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来源期刊
eLife
eLife BIOLOGY-
CiteScore
12.90
自引率
3.90%
发文量
3122
审稿时长
17 weeks
期刊介绍: eLife is a distinguished, not-for-profit, peer-reviewed open access scientific journal that specializes in the fields of biomedical and life sciences. eLife is known for its selective publication process, which includes a variety of article types such as: Research Articles: Detailed reports of original research findings. Short Reports: Concise presentations of significant findings that do not warrant a full-length research article. Tools and Resources: Descriptions of new tools, technologies, or resources that facilitate scientific research. Research Advances: Brief reports on significant scientific advancements that have immediate implications for the field. Scientific Correspondence: Short communications that comment on or provide additional information related to published articles. Review Articles: Comprehensive overviews of a specific topic or field within the life sciences.
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