Understanding brain networks and brain organization.
Understanding brain networks and brain organization.
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DOI：
10.1016/j.plrev.2014.03.005
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发表时间：
2014-09
影响因子：
11.7
通讯作者：
Pessoa, Luiz
中科院分区：
文献类型：
--
作者：
Pessoa, Luiz
大脑和行为之间的关系是什么？要回答这个问题，就必须描述结构和功能之间的映射。本文的目的是讨论围绕大脑结构和功能之间联系的广泛问题，这将激发网络视角来理解这个问题。和过去的其他人一样，我认为网络视角应该取代从单个区域来理解大脑的常见策略。尽管这一观点对于更全面地描述心灵-大脑是必要的，但它不应被视为灵丹妙药。首先，区域和功能之间的多对多映射所带来的挑战并没有被网络视角所解决。虽然这个问题得到了改善，但当采用网络方法时，不应预期一对一的映射。此外，根据有意义的区域集群（如社区发现算法产生的区域集群）对大脑网络进行分解，本身并不能揭示“真正的”子网络。鉴于区域之间的层次和多关系关系，多重分解将提供大脑内更广泛网络景观的不同“切片”。最后，我描述了如何通过多样性轮廓的想法以多维方式表征大脑区域的功能。这个概念也可以用来描述不同的大脑区域参与网络的方式。
What is the relationship between brain and behavior? The answer to this question necessitates characterizing the mapping between structure and function. The aim of this paper is to discuss broad issues surrounding the link between structure and function in the brain that will motivate a network perspective to understanding this question. As others in the past, I argue that a network perspective should supplant the common strategy of understanding the brain in terms of individual regions. Whereas this perspective is needed for a fuller characterization of the mind-brain, it should not be viewed as panacea. For one, the challenges posed by the many-to-many mapping between regions and functions is not dissolved by the network perspective. Although the problem is ameliorated, one should not anticipate a one-to-one mapping when the network approach is adopted. Furthermore, decomposition of the brain network in terms of meaningful clusters of regions, such as the ones generated by community-finding algorithms, does not by itself reveal “true” subnetworks. Given the hierarchical and multi-relational relationship between regions, multiple decompositions will offer different “slices” of a broader landscape of networks within the brain. Finally, I described how the function of brain regions can be characterized in a multidimensional manner via the idea of diversity profiles. The concept can also be used to describe the way different brain regions participate in networks.
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影响因子：
2.5
作者：
AERTSEN, AMHJ;GERSTEIN, GL;PALM, G
通讯作者：
PALM, G
DOI：
10.1080/00949650410001661440
发表时间：
2005-02-01
影响因子：
1.2
作者：
Aslan, B;Zech, G
通讯作者：
Zech, G
DOI：
10.1073/pnas.1018985108
发表时间：
2011-05-03
影响因子：
11.1
作者：
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通讯作者：
Grafton, Scott T.
影响因子：
16.2
作者：
Andrews-Hanna, Jessica R.;Reidler, Jay S.;Sepulcre, Jorge;Poulin, Renee;Buckner, Randy L.
通讯作者：
Buckner, Randy L.
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影响因子：
4.3
作者：
Averbeck, Bruno B.;Seo, Moonsang
通讯作者：
Seo, Moonsang