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静息态 fMRI 中表现出 ADHD 行为症状的青春期前儿童的功能连接和复杂性分析。

Functional connectivity and complexity analyses of resting-state fMRI in pre-adolescents demonstrating the behavioral symptoms of ADHD.

机构信息

Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States.

Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.

出版信息

Psychiatry Res. 2024 Apr;334:115794. doi: 10.1016/j.psychres.2024.115794. Epub 2024 Feb 13.

Abstract

Attention deficit hyperactivity disorder (ADHD) has been characterized by impairments among distributed functional brain networks, e.g., the frontoparietal network (FPN), default mode network (DMN), reward and motivation-related circuits (RMN), and salience network (SAL). In the current study, we evaluated the complexity and functional connectivity (FC) of resting state fMRI (rsfMRI) in pre-adolescents with the behavioral symptoms of ADHD, for pathology-relevant networks. We leveraged data from the Adolescent Brain and Cognitive Development (ABCD) Study. The final study sample included 63 children demonstrating the behavioral features of ADHD and 92 healthy control children matched on age, sex, and pubertal development status. For selected regions in the relevant networks, ANCOVA compared multiscale entropy (MSE) and FC between the groups. Finally, differences in the association between MSE and FC were evaluated. We found significantly reduced MSE along with increased FC within the FPN of pre-adolescents demonstrating the behavior symptoms of ADHD compared to matched healthy controls. Significant partial correlations between MSE and FC emerged in the FPN and RMN in the healthy controls however the association was absent in the participants demonstrating the behavior symptoms of ADHD. The current findings of complexity and FC in ADHD pathology support hypotheses of altered function of inhibitory control networks in ADHD.

摘要

注意缺陷多动障碍(ADHD)的特征是分布式功能脑网络受损,例如额顶网络(FPN)、默认模式网络(DMN)、奖励和动机相关回路(RMN)以及突显网络(SAL)。在当前的研究中,我们评估了具有 ADHD 行为症状的青春期前儿童静息态 fMRI(rsfMRI)的复杂性和功能连接(FC),用于相关网络的病理学研究。我们利用了青少年大脑与认知发展(ABCD)研究的数据。最终的研究样本包括 63 名表现出 ADHD 行为特征的儿童和 92 名年龄、性别和青春期发育状况相匹配的健康对照儿童。对于相关网络中的选定区域,ANCOVA 比较了两组之间的多尺度熵(MSE)和 FC。最后,评估了 MSE 和 FC 之间关联的差异。与匹配的健康对照组相比,表现出 ADHD 行为症状的青春期前儿童的 FPN 中 MSE 显著降低,FC 增加。在健康对照组中,FPN 和 RMN 中出现了 MSE 和 FC 之间的显著部分相关性,但在表现出 ADHD 行为症状的参与者中,这种关联不存在。ADHD 病理学中复杂性和 FC 的当前发现支持 ADHD 中抑制控制网络功能改变的假设。

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