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认知闭合需求与不同的内联网功能连接模式相关:一项静息态 EEG 研究。

Need for cognitive closure is associated with different intra-network functional connectivity patterns: A resting state EEG study.

机构信息

Department of Education, Roma Tre University, Rome, Italy.

Cognitive and Clinical Psychology Laboratory, Department of Human Sciences, European University of Rome, Rome, Italy.

出版信息

Soc Neurosci. 2022 Apr;17(2):143-153. doi: 10.1080/17470919.2022.2043432. Epub 2022 Mar 8.

DOI:10.1080/17470919.2022.2043432
PMID:35167428
Abstract

Need for Cognitive Closure (NCC) is a construct referring to the desire for predictability, unambiguity and firm answers to issues. Neuroscientific literature about NCC processes has mainly focused on task-related brain activity. According to the Triple Network model (TN), the main aim of the current study was to investigate resting state (RS) electroencephalographic (EEG) intra-network dynamics associated with NCC. Fifty-two young adults (39 females) were enrolled and underwent EEG recordings during RS. Functional connectivity analysis was computed through exact Low-Resolution Electromagnetic Tomography (eLORETA) software. Our results showed that higher levels of NCC were associated with both i) decreased alpha EEG connectivity within the Central Executive Network (CEN), and ii) increased delta connectivity within the Default Mode Network (DMN). No significant correlations were observed between NCC and functional connectivity in the Salience Network (SN). Our data would seem to suggest that high levels of NCC are characterized by a specific communication pattern within the CEN and the DMN during RS. These neurophysiological patterns might reflect several typical NCC-related cognitive characteristics (e.g., lower flexibility and preference for habitual and rigid response schemas).

摘要

需要认知闭合(NCC)是指对可预测性、明确性和对问题的坚定答案的渴望的一种结构。关于 NCC 过程的神经科学文献主要集中在与任务相关的大脑活动上。根据三重网络模型(TN),本研究的主要目的是调查与 NCC 相关的静息状态(RS)脑电图(EEG)内网络动力学。52 名年轻成年人(39 名女性)被招募并在 RS 期间接受 EEG 记录。通过精确低分辨率电磁断层成像(eLORETA)软件计算功能连接分析。我们的结果表明,较高的 NCC 水平与以下因素相关:i)中央执行网络(CEN)内的 alpha EEG 连接减少,ii)默认模式网络(DMN)内的 delta 连接增加。在突显网络(SN)中,NCC 与功能连接之间没有观察到显著相关性。我们的数据似乎表明,在 RS 期间,高 NCC 水平的特征是 CEN 和 DMN 内的特定通信模式。这些神经生理模式可能反映了与 NCC 相关的几个典型认知特征(例如,灵活性较低,偏好习惯性和僵化的反应模式)。

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