Describing functional diversity of brain regions and brain networks.
Describing functional diversity of brain regions and brain networks.
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DOI：
10.1016/j.neuroimage.2013.01.071
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发表时间：
2013-06
期刊：
影响因子：
5.7
通讯作者：
Pessoa, Luiz
中科院分区：
文献类型：
--
作者：
Anderson, Michael L.;Kinnison, Josh;Pessoa, Luiz
尽管人们普遍认为功能特化在大脑功能中起着重要作用，但对其在大脑中的程度却鲜有共识。我们试图通过采用数据驱动的方法来促进对这个问题的理解，该方法利用了大型神经影像数据库的存在。我们量化了大脑区域激活的多样性，以此来表征功能专业化的程度。为了做到这一点，大脑激活被分类的任务领域，如视觉，注意力和语言，这决定了一个区域的功能指纹。我们发现，大脑的多样性程度差异很大。我们还量化了区域和网络的新特性，这些特性使我们了解了文献中描述的几个任务积极和任务消极的网络，包括定义整个网络的功能指纹并测量它们的功能重复性，即它们由具有相似功能指纹的区域组成的程度。我们的研究结果表明，一些大脑网络表现出很强的自主性，而其他网络由相对异构的部分。总之，我们不是使用基于任务的功能归因来表征单个大脑区域的贡献，而是量化它们的倾向性，并将其与每个区域在任务积极和任务消极背景下的从属属性相关联。
Despite the general acceptance that functional specialization plays an important role in brain function, there is little consensus about its extent in the brain. We sought to advance the understanding of this question by employing a data-driven approach that capitalizes on the existence of large databases of neuroimaging data. We quantified the diversity of activation in brain regions as a way to characterize the degree of functional specialization. To do so, brain activations were classified in terms of task domains, such as vision, attention, and language, which determined a region’s functional fingerprint. We found that the degree of diversity varied considerably across the brain. We also quantified novel properties of regions and of networks that inform our understanding of several task-positive and task-negative networks described in the literature, including defining functional fingerprints for entire networks and measuring their functional assortativity, namely the degree to which they are composed of regions with similar functional fingerprints. Our results demonstrate that some brain networks exhibit strong assortativity, whereas other networks consist of relatively heterogeneous parts. In sum, rather than characterizing the contributions of individual brain regions using task-based functional attributions, we instead quantified their dispositional tendencies, and related those to each region’s affiliative properties in both task-positive and task-negative contexts.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
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：
10.1523/jneurosci.4004-09.2009
发表时间：
2009-11-18
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Laird AR;Eickhoff SB;Li K;Robin DA;Glahn DC;Fox PT
通讯作者：
Fox PT
影响因子：
158.5
作者：
Christakis, Nicholas A.;Fowler, James H.
通讯作者：
Fowler, James H.
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.