Functional connectivity hubs in the human brain.
Functional connectivity hubs in the human brain.
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DOI：
10.1016/j.neuroimage.2011.05.024
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发表时间：
2011-08-01
期刊：
影响因子：
5.7
通讯作者：
Volkow, Nora D.
中科院分区：
文献类型：
--
作者：
Tomasi, Dardo;Volkow, Nora D.
大脑网络似乎有几个和定位良好的区域，具有高功能连接密度（枢纽），用于快速整合神经处理，它们的功能障碍可能会导致神经精神疾病。然而，这些大脑中枢分布的可变性是未知的，部分原因是与其定位相关的压倒性计算需求。最近，我们开发了一种快速算法来映射局部功能连接密度（lFCD）。在这里，我们将我们的方法扩展到利用并行计算来映射全局密度（gFDC）。我们绘制了来自1000个功能性连接体项目的1031名受试者大脑中的gFCD，并表明最强的枢纽位于默认模式网络（DMN）和感觉皮层的区域，而皮层下区域表现出最弱的枢纽。最强的枢纽始终位于腹侧楔前叶/扣带回（先前通过其他分析方法，包括LFCD）和初级视觉皮层（BA 17/18），这突出了它们对静息连接网络的中心地位。相比之下，在重新缩放后，前额叶区域中的枢纽具有比lFCD更低的gFCD，这表明它们的局部功能连接（与长距离连接相反）在静息状态下占优势。gFCD中枢（与lFCD一样）的概率分布的功率缩放在各研究中心之间是一致的，进一步证实了大脑网络的“无标度”拓扑结构。gFCD的受试者内和受试者间变异性是lFCD的两倍（分别为20%和12%以及84%和34%），表明gFCD对功能连接的个体差异更敏感。
Brain networks appear to have few and well localized regions with high functional connectivity density (hubs) for fast integration of neural processing, and their dysfunction could contribute to neuropsychiatric diseases. However the variability in the distribution of these brain hubs is unknown due in part to the overwhelming computational demands associated to their localization. Recently we developed a fast algorithm to map the local functional connectivity density (lFCD). Here we extend our method to map the global density (gFDC) taking advantage of parallel computing. We mapped the gFCD in the brain of 1031 subjects from the 1000 Functional Connectomes project and show that the strongest hubs are located in regions of the default mode network (DMN) and in sensory cortices, whereas subcortical regions exhibited the weakest hubs. The strongest hubs were consistently located in ventral precuneus/cingulate gyrus (previously identified by other analytical methods including lFCD) and in primary visual cortex (BA 17/18), which highlights their centrality to resting connectivity networks. In contrast and after rescaling, hubs in prefrontal regions had lower gFCD than lFCD, which suggests that their local functional connectivity (as opposed to long-range connectivity) prevails in the resting state. The power scaling of the probability distribution of gFCD hubs (as for lFCD) was consistent across research centers further corroborating the “scale-free” topology of brain networks. Within and between-subject variability for gFCD were twice than that for lFCD (20% vs. 12% and 84% vs. 34%, respectively) suggesting that gFCD is more sensitive to individual differences in functional connectivity.
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DOI：
10.1523/jneurosci.1929-08.2008
发表时间：
2008-09-10
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Bassett DS;Bullmore E;Verchinski BA;Mattay VS;Weinberger DR;Meyer-Lindenberg A
通讯作者：
Meyer-Lindenberg A
影响因子：
5.3
作者：
Achard, S;Salvador, R;Bullmore, ET
通讯作者：
Bullmore, ET
影响因子：
5.3
作者：
Abe, Mitsunari;Hanakawa, Takashi;Fukuyama, Hidenao
通讯作者：
Fukuyama, Hidenao
影响因子：
4.8
作者：
Birn, Rasmus M.;Murphy, Kevin;Bandettini, Peter A.
通讯作者：
Bandettini, Peter A.
影响因子：
5.7
作者：
Jann, K.;Dierks, T.;Koenig, T.
通讯作者：
Koenig, T.