The human functional brain network demonstrates structural and dynamical resilience to targeted attack.
The human functional brain network demonstrates structural and dynamical resilience to targeted attack.
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DOI：
10.1371/journal.pcbi.1002885
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发表时间：
2013
影响因子：
4.3
通讯作者：
Laurienti PJ
中科院分区：
文献类型：
--
作者：
Joyce KE;Hayasaka S;Laurienti PJ
近年来，网络科学领域使研究人员能够以易于理解且定量的方式表示大脑中高度复杂的相互作用。自大脑网络研究出现以来，一项令人兴奋的发现是，大脑网络可以承受广泛的损伤，甚至是高度连接的区域。然而，这些高度连接的节点可能不是大脑网络最关键的区域，并且尚不清楚移除这些关键节点如何影响网络动态。这项工作旨在进一步研究人类功能性大脑网络的弹性。对 5 名健康志愿者的体素功能大脑网络和感兴趣区域 (ROI) 网络进行了网络攻击实验。使用评估节点重要性的多种标准在关键节点对网络进行攻击，并评估对网络结构和动态的影响。这里提出的研究结果与之前的研究结果相呼应，即功能性人脑网络在网络结构和动态方面对针对性攻击具有高度的弹性。为什么大脑能够承受多次微中风而看似没有有害影响，直到一次灾难性的中风阻碍了执行言语和行动等基本功能的能力？也许大脑的各个小区域或焦点对于信息传递非常重要，而这种高度中心焦点的丧失将严重损害大脑功能。通过使用网络理论对功能性大脑进行建模来识别此类病灶，可能会在脑部疾病和中风方面取得重要进展。在这项工作中，我们利用由人类志愿者构建的功能性大脑网络来研究移除大脑的特定区域如何影响大脑网络结构和信息传输特性。我们试图确定区域重要性的特定度量是否能够识别高度关键区域，以及针对高度关键区域是否会比随机删除区域产生更有害的影响。我们发现，虽然一般来说有针对性的删除对网络结构和动态有较大的影响，但人脑网络对于有针对性的删除和随机删除都具有相对的弹性。
In recent years, the field of network science has enabled researchers to represent the highly complex interactions in the brain in an approachable yet quantitative manner. One exciting finding since the advent of brain network research was that the brain network can withstand extensive damage, even to highly connected regions. However, these highly connected nodes may not be the most critical regions of the brain network, and it is unclear how the network dynamics are impacted by removal of these key nodes. This work seeks to further investigate the resilience of the human functional brain network. Network attack experiments were conducted on voxel-wise functional brain networks and region-of-interest (ROI) networks of 5 healthy volunteers. Networks were attacked at key nodes using several criteria for assessing node importance, and the impact on network structure and dynamics was evaluated. The findings presented here echo previous findings that the functional human brain network is highly resilient to targeted attacks, both in terms of network structure and dynamics. Why can the brain endure numerous micro-strokes with seemingly no detrimental impact, until one cataclysmal stroke hinders the ability to perform essential functions such as speech and mobility? Perhaps various small regions or foci of the brain are highly important to information transfer, and the loss of such highly central foci would be severely injurious to brain function. Identification of such foci, via modeling of the functional brain using network theory, could lead to important advances with regard to brain disease and stroke. In this work, we utilized functional brain networks constructed from human volunteers to study how removing particular regions of the brain impacts brain network structure and information transfer properties. We sought to determine whether a particular measure of region importance may be able to identify highly critical regions, and whether targeting highly critical regions would have a more detrimental impact than removing regions at random. We found that, while in general targeted removal has a larger impact on network structure and dynamics, the human brain network is comparatively resilient against both targeted and random removal.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
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影响因子：
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