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An independent components and functional connectivity analysis of resting state FMRI data points to neural network dysregulation in adult ADHD

机译:成人多动症患者静息状态FMRI数据指向神经网络失调的独立成分和功能连通性分析

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Spontaneous fluctuations can be measured in the brain that reflect dissociable functional networks oscillating at synchronized frequencies, such as the default mode network (DMN). In contrast to its diametrically opposed task-positive counterpart, the DMN predominantly signals during a state of rest, and inappropriate regulation of this network has been associated with inattention, a core characteristic of attention-deficit/hyperactivity disorder (ADHD). To examine whether abnormalities can be identified in the DMN component of patients with ADHD, we applied an independent components analysis to resting state functional magnetic resonance imaging data acquired from 22 male medication-na?ve adults with ADHD and 23 neurotypical individuals. We observed a stronger coherence of the left dorsolateral prefrontal cortex (dlPFC) with the DMN component in patients with ADHD which correlated with measures of selective attention. The increased left dlPFC-DMN coherence also surfaced in a whole-brain replication analysis involving an independent sample of 9 medication-na?ve adult patients and 9 controls. In addition, a post hoc seed-to-voxel functional connectivity analysis using the dlPFC as a seed region to further examine this region's suggested connectivity differences uncovered a higher temporal coherence with various other neural networks and confirmed a reduced anticorrelation with the DMN. These results point to a more diffuse connectivity between functional networks in patients with ADHD. Moreover, our findings suggest that state-inappropriate neural activity in ADHD is not confined to DMN intrusion during attention-demanding contexts, but also surfaces as an insufficient suppression of dlPFC signaling in relation to DMN activity during rest. Together with previous findings, these results point to a general dysfunction in the orthogonality of functional networks.
机译:可以测量大脑中的自发性波动,这些波动反映了以同步频率振荡的可分离功能网络,例如默认模式网络(DMN)。与其完全相反的任务肯定对手相反,DMN主要在休息状态下发出信号,并且对该网络的不适当调节与注意力不集中相关,注意力不集中是注意力不足/多动症(ADHD)的核心特征。为了检查是否可以在多动症患者的DMN成分中发现异常,我们对从22位患有ADHD的男性初治成人和23位神经典型个体获得的静息状态功能磁共振成像数据进行了独立成分分析。我们观察到多动症患者左背外侧前额叶皮层(dlPFC)与DMN成分的更强一致性,这与选择性注意的措施有关。左dlPFC-DMN相干性的增加也出现在全脑复制分析中,涉及9名未接受过药物治疗的成年患者和9名对照的独立样本。此外,使用dlPFC作为种子区域的事后种子到体素功能连接性分析,以进一步检查该区域建议的连接性差异,发现与其他各种神经网络的时间一致性更高,并确认与DMN的反相关性降低。这些结果表明,ADHD患者的功能网络之间的连接更加分散。此外,我们的研究结果表明,注意力不集中在注意力缺陷多动障碍中,状态不当的神经活动不仅仅局限于DMN的入侵,而且还表现为与休息期间DMN活动有关的dlPFC信号传导抑制不足。与以前的发现一起,这些结果表明功能网络的正交性普遍存在功能障碍。

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