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额顶叶连接不对称性调节工作记忆的分心程度。

Fronto-parietal connection asymmetry regulates working memory distractibility.

作者信息

Edin Fredrik, Klingberg Torkel, Stödberg Tommy, Tegnér Jesper

机构信息

School of Computer Science and Communication, Kungliga Tekniska Högskolan, SE-100 44 Stockholm, Sweden.

出版信息

J Integr Neurosci. 2007 Dec;6(4):567-96. doi: 10.1142/s0219635207001702.

Abstract

Recent functional magnetic resonance imaging studies demonstrate that increased task-related neural activity in parietal and frontal cortex during development and training is positively correlated with improved visuospatial working memory (vsWM) performance. Yet, the analysis of the corresponding underlying functional reorganization of the fronto-parietal network has received little attention. Here, we perform an integrative experimental and computational analysis to determine the effective balance between the superior frontal sulcus (SFS) and intraparietal sulcus (IPS) and their putative role(s) in protecting against distracters. To this end, we performed electroencephalographic (EEG) recordings during a vsWM task. We utilized a biophysically based computational cortical network model to analyze the effects of different neural changes in the underlying cortical networks on the directed transfer function (DTF) and spiking activity. Combining a DTF analysis of our EEG data with the DTF analysis of the computational model, a directed strong SFS --> IPS network was revealed. Such a configuration offers protection against distracters, whereas the opposite is true for strong IPS --> SFS connections. Our results therefore suggest that the previously demonstrated improvement of vsWM performance during development could be due to a shift in the control of the effective balance between the SFS-IPS networks.

摘要

最近的功能磁共振成像研究表明,在发育和训练过程中,顶叶和额叶皮质中与任务相关的神经活动增加与视觉空间工作记忆(vsWM)表现的改善呈正相关。然而,对额顶叶网络相应的潜在功能重组的分析却很少受到关注。在此,我们进行了一项综合实验和计算分析,以确定额上沟(SFS)和顶内沟(IPS)之间的有效平衡及其在防止干扰方面的假定作用。为此,我们在一项vsWM任务期间进行了脑电图(EEG)记录。我们利用基于生物物理学的计算皮质网络模型来分析基础皮质网络中不同神经变化对定向传递函数(DTF)和尖峰活动的影响。将我们的EEG数据的DTF分析与计算模型的DTF分析相结合,揭示了一个定向的强SFS→IPS网络。这样的配置能够防止干扰,而对于强IPS→SFS连接则相反。因此,我们的结果表明,先前证明的发育过程中vsWM表现的改善可能是由于SFS-IPS网络之间有效平衡控制的转变。

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