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首页> 外文期刊>NeuroImage >Error-related medial frontal theta activity predicts cingulate-related structural connectivity.
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Error-related medial frontal theta activity predicts cingulate-related structural connectivity.

机译:与错误相关的内侧额叶活动预测了扣带回相关的结构连通性。

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摘要

Studies on electrophysiological signatures of error processing have focused on the medial frontal cortex, although widespread neuroanatomical networks support error/action monitoring. Here, electrophysiological responses to errors were combined with structural white matter diffusion tensor imaging (DTI) to investigate the long-range anatomical networks that support error processing. The approach taken here was to link individual differences in error-related EEG responses to individual differences in white matter connectional anatomy. Twenty subjects performed a speeded instructed choice task (a variant of the Simon task) designed to elicit response errors, and also underwent DTI scanning in a separate session. In the EEG data, significantly enhanced theta (4-8 Hz) oscillations were observed over medial frontal electrodes (centered on FCz) during response errors. Mid-frontal scalp sites (likely reflecting medial frontal cortex activity) also functioned as a strong "hub" for information flow, measured through theta-band phase synchronization degree. Next, a dipole source of the error-related theta-band activity was localized for each subject, accounting for approximately 80% of the topographical variance. Correlating individual differences in medial frontal theta dynamics with white matter tracts linking these dipole sources to the rest of the brain revealed that subjects with stronger error-related theta also had stronger white matter connectivity with the ventral striatum and inferior frontal gyrus. Further, subjects in whom medial frontal regions acted as a stronger synchronization "hub" had stronger connectivity between the dipole source location and the corpus callosum and dorsomedial prefrontal white matter pathways. These findings provide novel evidence for the role of widespread fronto-striatal networks in monitoring actions and signaling behavioral errors.
机译:尽管广泛的神经解剖网络支持错误/动作监视,但错误处理的电生理特征研究主要集中在内侧额叶皮层。在这里,对错误的电生理反应与结构性白质扩散张量成像(DTI)相结合,以研究支持错误处理的远程解剖网络。这里采用的方法是将错误相关脑电图反应的个体差异与白质连接解剖学的个体差异联系起来。二十名受试者执行了旨在指示响应错误的快速指令选择任务(Simon任务的一种变体),并且还在单独的会话中进行了DTI扫描。在EEG数据中,在响应误差期间,在内侧额叶电极(以FCz为中心)上观察到显着增强的theta(4-8 Hz)振荡。中额头皮部位(可能反映了额中部皮层的活动)也起到了信息流的强大“枢纽”作用,通过θ波段相位同步度来衡量。接下来,针对每个对象定位与误差相关的θ带活动的偶极子源,约占地形变化的80%。将与这些偶极子源连接到大脑其他部位的白质束相关的内侧额叶动力学的个体差异表明,与错误相关的θ更强的受试者与腹侧纹状体和额下回的白质连通性也更强。此外,其中内侧额叶区域充当更强的同步“枢纽”的受试者在偶极子源位置与call体和背侧前额叶白质途径之间具有更强的连通性。这些发现为广泛的额纹网络在监测动作和信号行为错误中的作用提供了新的证据。

著录项

  • 来源
    《NeuroImage》 |2011年第3期|共11页
  • 作者

    Cohen MX;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 诊断学;
  • 关键词

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