Mapping the human brain's cortical-subcortical functional network organization.
Mapping the human brain's cortical-subcortical functional network organization.
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DOI：
10.1016/j.neuroimage.2018.10.006
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发表时间：
2019-01-15
期刊：
影响因子：
5.7
通讯作者：
Cole MW
中科院分区：
文献类型：
--
作者：
Ji JL;Spronk M;Kulkarni K;Repovš G;Anticevic A;Cole MW
理解复杂的系统，如人类大脑，需要表征系统的架构跨多个层次的组织-从神经元，局部电路，大脑区域，并最终大规模的大脑网络。在这里，我们专注于描述人类大脑的大规模网络组织，因为它为所有其他层次的组织提供了一个整体框架。我们开发了一种高度原则性的方法来识别功能系统水平上的皮层网络社区，使用非常完善的感觉和运动系统作为指导来校准我们的社区检测算法。基于以前的网络划分，我们复制并扩展了众所周知的和最近发现的网络，包括几个高阶认知网络，如左侧化语言网络。我们将这些皮层网络扩展到皮层下，揭示了参与形成全脑功能网络的358个高度组织化的皮层下包裹。值得注意的是，所识别的皮质下包裹在数量上与皮质包裹的数量的最近估计相似（360）。这个全脑网络图谱-作为神经科学界的开放资源发布-将所有大脑结构跨皮层和皮层下放入一个单一的大规模功能框架中，有可能促进各种研究健康和疾病中的大规模功能网络。
Understanding complex systems such as the human brain requires characterization of the system’s architecture across multiple levels of organization – from neurons, to local circuits, to brain regions, and ultimately large-scale brain networks. Here we focus on characterizing the human brain’s large-scale network organization, as it provides an overall framework for the organization of all other levels. We developed a highly principled approach to identify cortical network communities at the level of functional systems, calibrating our community detection algorithm using extremely well-established sensory and motor systems as guides. Building on previous network partitions, we replicated and expanded upon well-known and recently-identified networks, including several higher-order cognitive networks such as a left-lateralized language network. We expanded these cortical networks to subcortex, revealing 358 highly-organized subcortical parcels that take part in forming whole-brain functional networks. Notably, the identified subcortical parcels are similar in number to a recent estimate of the number of cortical parcels (360). This whole-brain network atlas – released as an open resource for the neuroscience community – places all brain structure s across both cortex and subcortex into a single large-scale functional framework, with the potential to facilitate a variety of studies investigating large-scale functional networks in health and disease.
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影响因子：
5.7
作者：
Binder JR;Gross WL;Allendorfer JB;Bonilha L;Chapin J;Edwards JC;Grabowski TJ;Langfitt JT;Loring DW;Lowe MJ;Koenig K;Morgan PS;Ojemann JG;Rorden C;Szaflarski JP;Tivarus ME;Weaver KE
通讯作者：
Weaver KE
影响因子：
2.5
作者：
Doucet, Gaelle;Naveau, Mikael;Joliot, Marc
通讯作者：
Joliot, Marc
影响因子：
3
作者：
Cole MW;Yang GJ;Murray JD;Repovš G;Anticevic A
通讯作者：
Anticevic A
DOI：
10.1177/1073858414525995
发表时间：
2014-12
期刊：
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子：
--
作者：
Cole MW;Repovš G;Anticevic A
通讯作者：
Anticevic A
影响因子：
5.7
作者：
Deichmann, R;Gottfried, JA;Turner, R
通讯作者：
Turner, R