Predicting human resting-state functional connectivity from structural connectivity
Predicting human resting-state functional connectivity from structural connectivity
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DOI：
10.1073/pnas.0811168106
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发表时间：
2009-02-10
影响因子：
11.1
通讯作者：
Hagmann, P.
中科院分区：
文献类型：
--
作者：
Honey, C. J.;Sporns, O.;Hagmann, P.
在大脑皮层中，神经元群体的活动水平不断波动。当使用功能性MRI（fMRI）测量的神经元活动在2个群体中时间上一致时，这些群体被称为功能性连接。功能连接先前已被证明与结构（解剖学）连接模式在聚合水平。在本研究中，我们调查，借助计算建模，是否系统级的功能网络的属性，包括其空间统计和跨时间的持久性，可以占的基本解剖网络的属性。我们测量了静息状态的功能连接（使用功能磁共振成像）和结构连接（使用扩散光谱成像纤维束成像）在同一个人在高分辨率。结构连通性为宏观皮质动力学模型提供了耦合。在模型和数据中，我们观察到（i）没有直接结构连接的区域之间通常存在强功能连接，这使得从功能连接性推断结构连接性变得不切实际;（ii）间接连接和区域间距离解释了功能连接性的一些差异，而直接结构连接性无法解释这些差异;以及（iii）静息状态功能连接性在扫描会话和模型运行内和两者之间表现出可变性。这些经验和建模的结果表明，虽然静息状态的功能连接是可变的，并经常存在于区域之间没有直接的结构联系，其强度，持久性和空间统计，但人类大脑皮层的大规模解剖结构的限制。
In the cerebral cortex, the activity levels of neuronal populations are continuously fluctuating. When neuronal activity, as measured using functional MRI ( fMRI), is temporally coherent across 2 populations, those populations are said to be functionally connected. Functional connectivity has previously been shown to correlate with structural ( anatomical) connectivity patterns at an aggregate level. In the present study we investigate, with the aid of computational modeling, whether systems-level properties of functional networks-including their spatial statistics and their persistence across time-can be accounted for by properties of the underlying anatomical network. We measured resting state functional connectivity ( using fMRI) and structural connectivity ( using diffusion spectrum imaging tractography) in the same individuals at high resolution. Structural connectivity then provided the couplings for a model of macroscopic cortical dynamics. In both model and data, we observed (i) that strong functional connections commonly exist between regions with no direct structural connection, rendering the inference of structural connectivity from functional connectivity impractical; (ii) that indirect connections and interregional distance accounted for some of the variance in functional connectivity that was unexplained by direct structural connectivity; and (iii) that resting-state functional connectivity exhibits variability within and across both scanning sessions and model runs. These empirical and modeling results demonstrate that although resting state functional connectivity is variable and is frequently present between regions without direct structural linkage, its strength, persistence, and spatial statistics are nevertheless constrained by the large-scale anatomical structure of the human cerebral cortex.