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短期记忆维持过程中额顶枕叶有效连接的情境特异性差异。

Context-specific differences in fronto-parieto-occipital effective connectivity during short-term memory maintenance.

作者信息

Kundu Bornali, Chang Jui-Yang, Postle Bradley R, Van Veen Barry D

机构信息

Neuroscience Training Program and Medical Scientist Training Program, University of Wisconsin-Madison, 7225 Medical Sciences Center, 1300 University Avenue, Madison, WI 57306, USA.

Department of Electrical and Computer Engineering, University of Wisconsin-Madison, 3611 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706, USA.

出版信息

Neuroimage. 2015 Jul 1;114:320-7. doi: 10.1016/j.neuroimage.2015.04.001. Epub 2015 Apr 9.

Abstract

Although visual short-term memory (VSTM) performance has been hypothesized to rely on two distinct mechanisms, capacity and filtering, the two have not been dissociated using network-level causality measures. Here, we hypothesized that behavioral tasks challenging capacity or distraction filtering would both engage a common network of areas, namely dorsolateral prefrontal cortex (dlPFC), superior parietal lobule (SPL), and occipital cortex, but would do so according to dissociable patterns of effective connectivity. We tested this by estimating directed connectivity between areas using conditional Granger causality (cGC). Consistent with our prediction, the results indicated that increasing mnemonic load (capacity) increased the top-down drive from dlPFC to SPL, and cGC in the alpha (8-14Hz) frequency range was a predominant component of this effect. The presence of distraction during encoding (filtering), in contrast, was associated with increased top-down drive from dlPFC to occipital cortices directly and from SPL to occipital cortices directly, in both cases in the beta (15-25Hz) range. Thus, although a common anatomical network may serve VSTM in different contexts, it does so via specific functions that are carried out within distinct, dynamically configured frequency channels.

摘要

尽管视觉短期记忆(VSTM)的表现被认为依赖于两种不同的机制,即容量和过滤,但尚未使用网络层面的因果关系测量方法将二者区分开来。在此,我们假设,挑战容量或干扰过滤的行为任务都会激活一个共同的脑区网络,即背外侧前额叶皮层(dlPFC)、顶上小叶(SPL)和枕叶皮层,但会根据可分离的有效连接模式来激活。我们通过使用条件格兰杰因果关系(cGC)估计各脑区之间的定向连接来对此进行测试。与我们的预测一致,结果表明,增加记忆负荷(容量)会增加从dlPFC到SPL的自上而下驱动,并且α(8 - 14Hz)频率范围内的cGC是这种效应的主要组成部分。相比之下,编码过程中干扰的存在与从dlPFC直接到枕叶皮层以及从SPL直接到枕叶皮层的自上而下驱动增加有关,这两种情况均发生在β(15 - 25Hz)范围内。因此,尽管一个共同的解剖学网络可能在不同情境下服务于VSTM,但它是通过在不同的、动态配置的频率通道内执行的特定功能来实现的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10c3/4446161/1fa5f4fc1155/nihms679449f1.jpg

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