Error-Specific Cognitive Control Alterations in Generalized Anxiety Disorder.

Error-Specific Cognitive Control Alterations in Generalized Anxiety Disorder.
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DOI:
10.1016/j.bpsc.2017.01.004
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发表时间:
2017-07
期刊:
Biological psychiatry. Cognitive neuroscience and neuroimaging
影响因子:
--
通讯作者:
Hajcak G
Hajcak G
中科院分区:
其他
文献类型:
--
作者:
Cavanagh JF;Meyer A;Hajcak G

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特质焦虑与错误后增强的神经反应可靠地相关:Meta分析描述了焦虑个体对错误的电生理反应(称为错误相关负性(ERN))如何增加,特别是与担忧有关。ERN与更广泛的一类控制信号有关,特别是通过共同的θ波段分母,但不知道担心是否与这些替代的内侧额叶指标有关。此外,目前还不清楚焦虑症中ERN的增加是否与认知控制的改变有关。在这份报告中,我们研究EEG活动广泛性焦虑症(GAD,N=39)和控制(CTL:N=52)参与者在执行控制任务。我们利用先前定义的θ波段网络来研究GAD中改变的控制信号是否是认知控制的差异实现的基础。GAD组和CTL组在时间和频率(即θ带)域中被错误和冲突相关的神经活动可靠地分离。此外,我们证明,ERN,错误相关的θ功率,θ和反应时间之间的单次试验相关性是GAD状态的唯一预测因子。总的来说,我们能够解释近1/4的组方差,并成功地将GAD与对照参与者进行分类,准确率为2/3。总的来说,这些研究结果表明,错误处理的多个神经指标可能是唯一区分临床焦虑与健康个体,控制机制也不同,在广泛性焦虑症;最后,这些错误相关的神经措施有可能是敏感和具体的生物特征的焦虑。
Trait anxiety is reliably associated with enhanced neural responses following errors: meta analyses have described how the electrophysiological response to errors known as the Error-Related Negativity (ERN) is increased in anxious individuals, particularly in relation to worry. The ERN has been related to a broader class of control signals, particularly via a common theta band denominator, but it is unknown whether worry relates to these alternative medial frontal metrics. Moreover, it is unclear if increased ERN in anxiety relates to altered cognitive control. In this report we examine EEG activities in Generalized Anxiety Disorder (GAD, N=39) and control (CTL: N=52) participants during an executive control task. We leveraged a previously defined theta-band network to examine if an altered control signal in GAD underlies a differential implementation of cognitive control. GAD and CTL groups were reliably dissociated by both error- and conflict- related neural activity, in both the time and frequency (i.e. theta band) domains. Moreover, we demonstrate that ERN, error-related theta power, and the single trial correlation between theta and response time were unique predictors of GAD status. Overall, we were able to account for nearly 1/4 of the group variance and successfully classify GAD from control participants with 2/3 accuracy. Collectively, these findings suggest that multiple neural metrics of error processing may uniquely distinguish clinical anxiety from healthy individuals, and that mechanisms of control also differ in GAD; finally, these error-related neural measures have the potential to be sensitive and specific bio-signatures of anxiety.
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