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首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >Probing the 'Default Network Interference Hypothesis' With EEG: An RDoC Approach Focused on Attention
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Probing the 'Default Network Interference Hypothesis' With EEG: An RDoC Approach Focused on Attention

机译：突破“默认网络干扰假设”：RDOC方法专注于注意力

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Studies have shown that specific networks (default mode network [DMN] and task positive network [TPN]) activate in an anticorrelated manner when sustaining attention. Related EEG studies are scarce and often lack behavioral validation. We performed independent component analysis (ICA) across different frequencies (source-level), using eLORETA-ICA, to extract brain-network activity during resting-state and sustained attention. We applied ICA to the voxel domain, similar to functional magnetic resonance imaging methods of analyses. The obtained components were contrasted and correlated to attentional performance (omission errors) in a large sample of healthy subjects (N = 1397). We identified one component that robustly correlated with inattention and reflected an anticorrelation of delta activity in the anterior cingulate and precuneus, and delta and theta activity in the medial prefrontal cortex and with alpha and gamma activity in medial frontal regions. We then compared this component between optimal and suboptimal attentional performers. For the latter group, we observed a greater change in component loading between resting-state and sustained attention than for the optimal performers. Following the National Institute of Mental Health Research Domain Criteria (RDoC) approach, we prospectively replicated and validated these findings in subjects with attention deficit/hyperactivity disorder. Our results provide further support for the "default mode interference hypothesis."
机译：研究表明，在维持注意力时，特定网络（默认模式网络[DMN [DMN]和任务正网络[TPN]）以反向的方式激活。相关脑电图研究缺乏，往往缺乏行为验证。我们使用Eloreta-ICA在不同频率（源级）上进行独立的分量分析（ICA），以提取休息状态和持续关注的脑网络活动。我们将ICA应用于体素域，类似于功能磁共振成像分析方法。所得组分对比并与大量健康受试者样品中的注意力性能（遗漏误差）相关（n = 1397）。我们鉴定了一种鲁棒密集相关的一个组分，并反映了前卷曲和前序列中的δ活性的δ活性的逆相关，中间前额叶皮层中的δ和θ活性以及内侧前部区域中的α和γ活性。然后，我们将该组件与最佳和次优的注意力表演者进行了比较。对于后一组，我们观察到休息状态与持续关注之间的组件加载更大的变化而不是最佳性能。在国家心理健康研究领域标准（RDOC）方法之后，我们潜在的重复和验证了引起注意力缺陷/多动障碍的主题中的这些发现。我们的结果提供了对“默认模式干扰假设”的进一步支持。

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