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论 alpha 频率震荡的小世界网络架构对于认知灵活性的相关性。

On the relevance of the alpha frequency oscillation's small-world network architecture for cognitive flexibility.

机构信息

Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU, Dresden, Germany.

Experimental Neurobiology, National Institute of Mental Health, Klecany, Czech Republic.

出版信息

Sci Rep. 2017 Oct 24;7(1):13910. doi: 10.1038/s41598-017-14490-x.

DOI:10.1038/s41598-017-14490-x
PMID:29066804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5654836/
Abstract

Cognitive flexibility is a major requirement for successful behavior. nNeural oscillations in the alpha frequency band were repeatedly associated with cognitive flexibility in task-switching paradigms. Alpha frequencies are modulated by working memory load and are used to process information during task switching, however we do not know how this oscillatory network communication is modulated. In order to understand the mechanisms that drive cognitive flexibility, ERPs, oscillatory power and how the communication within these networks is organized are of importance. The EEG data show that during phases reflecting preparatory processes to pre-activate task sets, alpha oscillatory power but not the small world properties of the alpha network architecture was modulated. During the switching only the N2 ERP component showed clear modulations. After the response, alpha oscillatory power reinstates and therefore seems to be important to deactivate or maintain the previous task set. For these reactive control processes the network architecture in terms of small-world properties is modulated. Effects of memory load on small-world aspects were seen in repetition trials, where small-world properties were higher when memory processes were relevant. These results suggest that the alpha oscillatory network becomes more small-world-like when reactive control processes during task switching are less complex.

摘要

认知灵活性是成功行为的主要要求。在任务转换范式中,α频带的神经振荡反复与认知灵活性相关。α 频率受工作记忆负荷的调制,并用于在任务转换期间处理信息,但是我们不知道这种振荡网络通信是如何调制的。为了理解驱动认知灵活性的机制,ERP、振荡功率以及这些网络内的通信如何组织是很重要的。EEG 数据表明,在反映预先激活任务集的预备过程的阶段,α 振荡功率而不是α 网络结构的小世界特性被调制。仅在切换期间,N2 ERP 成分显示出明显的调制。在反应之后,α 振荡功率重新建立,因此似乎对于去激活或维持先前的任务集很重要。对于这些反应性控制过程,网络架构在小世界特性方面被调制。在重复试验中观察到记忆负载对小世界方面的影响,当记忆过程相关时,小世界特性更高。这些结果表明,当任务转换过程中的反应性控制过程不太复杂时,α 振荡网络变得更像小世界。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/1856f3eba316/41598_2017_14490_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/a888c55c2e48/41598_2017_14490_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/4a6d6bebf7d7/41598_2017_14490_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/3a3fcf68061c/41598_2017_14490_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/583c8a57a984/41598_2017_14490_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/1856f3eba316/41598_2017_14490_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/a888c55c2e48/41598_2017_14490_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/4a6d6bebf7d7/41598_2017_14490_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/3a3fcf68061c/41598_2017_14490_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/583c8a57a984/41598_2017_14490_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/5654836/1856f3eba316/41598_2017_14490_Fig5_HTML.jpg

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