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首页> 外文期刊>NeuroImage >Trial-by-trial coupling between EEG and BOLD identifies networks related to alpha and theta EEG power increases during working memory maintenance.
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Trial-by-trial coupling between EEG and BOLD identifies networks related to alpha and theta EEG power increases during working memory maintenance.

机译:EEG和BOLD之间的逐次试验耦合确定了与在工作内存维护期间与alpha和theta EEG功率增加有关的网络。

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摘要

PET and fMRI experiments have previously shown that several brain regions in the frontal and parietal lobe are involved in working memory maintenance. MEG and EEG experiments have shown parametric increases with load for oscillatory activity in posterior alpha and frontal theta power. In the current study we investigated whether the areas found with fMRI can be associated with these alpha and theta effects by measuring simultaneous EEG and fMRI during a modified Sternberg task This allowed us to correlate EEG at the single trial level with the fMRI BOLD signal by forming a regressor based on single trial alpha and theta power estimates. We observed a right posterior, parametric alpha power increase, which was functionally related to decreases in BOLD in the primary visual cortex and in the posterior part of the right middle temporal gyrus. We relate this finding to the inhibition of neuronal activity that may interfere with WM maintenance. An observed parametric increase in frontal theta power was correlated to a decrease in BOLD in regions that together form the default mode network. We did not observe correlations between oscillatory EEG phenomena and BOLD in the traditional WM areas. In conclusion, the study shows that simultaneous EEG-fMRI recordings can be successfully used to identify the emergence of functional networks in the brain during the execution of a cognitive task.
机译:PET和fMRI实验之前已经表明,额叶和顶叶中的几个大脑区域都参与了工作记忆的维持。 MEG和EEG实验表明,参数随后阿尔法和额叶theta功率的振荡活动而增加。在当前的研究中,我们通过在改良的Sternberg任务中同时测量脑电图和功能磁共振成像,研究了功能磁共振成像发现的区域是否与这些alpha和theta效应有关。这使我们能够通过形成基于单次试验alpha和theta功率估计的回归器。我们观察到右后方参量α功率增加,其功能与初级视觉皮层和右中颞回中后部的BOLD减少有关。我们将此发现与可能干扰WM维护的神经元活性的抑制联系起来。在共同形成默认模式网络的区域中,观察到的额叶theta功率的参数增加与BOLD的减少相关。在传统的WM地区,我们没有观察到振荡的EEG现象和BOLD之间的相关性。总之,这项研究表明,同时执行的EEG-fMRI记录可以成功地用于识别执行认知任务期间大脑中功能性网络的出现。

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