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ADHD symptoms are associated with the modular structure of intrinsic brain networks in a representative sample of healthy adults

机译:多动症的症状与健康成年人的代表性样本中固有的大脑网络的模块化结构有关

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摘要

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders with significant and often lifelong effects on social, emotional, and cognitive functioning. Influential neurocognitive models of ADHD link behavioral symptoms to altered connections between and within functional brain networks. Here, we investigate whether network-based theories of ADHD can be generalized to understanding variations in ADHD-related behaviors within the normal (i.e., clinically unaffected) adult population. In a large and representative sample, self-rated presence of ADHD symptoms varied widely; only 8 out of 291 participants scored in the clinical range. Subject-specific brain network graphs were modeled from functional MRI resting-state data and revealed significant associations between (nonclinical) ADHD symptoms and region-specific profiles of between-module and within-module connectivity. Effects were located in brain regions associated with multiple neuronal systems including the default-mode network, the salience network, and the central executive system. Our results are consistent with network perspectives of ADHD and provide further evidence for the relevance of an appropriate information transfer between task-negative (default-mode) and task-positive brain regions. More generally, our findings support a dimensional conceptualization of ADHD and contribute to a growing understanding of cognition as an emerging property of functional brain networks.
机译:注意缺陷/多动障碍(ADHD)是最常见的神经发育障碍之一,对社交,情感和认知功能具有重大且通常是终身的影响。有影响力的多动症神经认知模型将行为症状与功能性大脑网络之间和内部的连接改变联系起来。在这里,我们调查了基于网络的注意力缺陷多动症理论是否可以推广到理解正常(即临床上不受影响)成年人群中与注意力缺陷多动症相关行为的变化。在一个大而有代表性的样本中,多动症症状的自我评价存在很大差异。 291名参与者中只有8名在临床范围内得分。从功能性MRI静息状态数据对受试者特定的大脑网络图进行建模,发现(非临床)ADHD症状与模块间和模块内连通性的区域特定配置文件之间存在显着关联。效果位于与多个神经元系统(包括默认模式网络,显着网络和中央执行系统)相关的大脑区域。我们的结果与多动症的网络观点相一致,并为任务阴性(默认模式)和任务阳性大脑区域之间适当的信息传递的相关性提供了进一步的证据。更广泛地说,我们的发现支持多动症的维度概念化,并有助于人们对认知作为功能性大脑网络的新兴特性的认识不断增长。

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