Brain anatomical network and intelligence.
Brain anatomical network and intelligence.
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DOI：
10.1371/journal.pcbi.1000395
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发表时间：
2009-05
影响因子：
4.3
通讯作者：
Jiang T
中科院分区：
文献类型：
--
作者：
Li Y;Liu Y;Li J;Qin W;Li K;Yu C;Jiang T
直觉上，更高的智力可能被认为与大脑中更有效的信息传输相对应，但从大脑网络的角度来看，还没有直接的证据。在这项研究中，我们进行了广泛的分析，以检验这一假设，即智力的个体差异与大脑结构组织有关，特别是智力测试的高分与大脑解剖网络的更高的整体效率有关。我们构建了二进制和加权的大脑解剖网络中的每一个79个健康的年轻人，利用扩散张量纤维束成像和计算的拓扑性质的网络，使用图论方法。根据他们的智商测试成绩，所有的受试者被分为一般和高智力组，并发现在后一组的网络显着更高的全球效率。此外，在控制年龄和性别的情况下，我们发现所有受试者的智商分数和网络属性之间存在显著相关性。具体来说，更高的智力分数对应于更短的特征路径长度和更高的网络全局效率，表明大脑中的并行信息传输更有效。结果不仅在二进制网络中，而且在加权网络中都得到了一致的观察，这为我们的假设提供了收敛的证据。我们的研究结果表明，大脑结构组织的效率可能是智力的重要生物学基础。互联的大脑区域网络协调大脑活动。信息在灰质（皮层和皮层下结构）中进行处理，并通过白色的脂肪包裹的纤维束（白质）沿着网络传递。利用这些白色物质轨迹的地图，我们提供了证据，证明更高的智力可能来自更有效的信息传递。具体来说，我们假设较高的智商来自于大脑解剖网络的较高整体效率。79名健康的年轻人被分为一般智商组和高智商组。我们使用弥散张量纤维束成像，映射大脑白色物质纤维，构建每个主题的解剖大脑网络，并使用二进制和加权网络计算网络属性。我们一直发现，高智商组的大脑网络比一般智商组的效率高得多。此外，智商得分与网络特性（如更短的路径长度和更高的整体效率）显著相关，这表明大脑中的信息传输更有效。这些证据都支持这样一个假设，即大脑结构的组织效率可能是智力的重要生物学基础。
Intuitively, higher intelligence might be assumed to correspond to more efficient information transfer in the brain, but no direct evidence has been reported from the perspective of brain networks. In this study, we performed extensive analyses to test the hypothesis that individual differences in intelligence are associated with brain structural organization, and in particular that higher scores on intelligence tests are related to greater global efficiency of the brain anatomical network. We constructed binary and weighted brain anatomical networks in each of 79 healthy young adults utilizing diffusion tensor tractography and calculated topological properties of the networks using a graph theoretical method. Based on their IQ test scores, all subjects were divided into general and high intelligence groups and significantly higher global efficiencies were found in the networks of the latter group. Moreover, we showed significant correlations between IQ scores and network properties across all subjects while controlling for age and gender. Specifically, higher intelligence scores corresponded to a shorter characteristic path length and a higher global efficiency of the networks, indicating a more efficient parallel information transfer in the brain. The results were consistently observed not only in the binary but also in the weighted networks, which together provide convergent evidence for our hypothesis. Our findings suggest that the efficiency of brain structural organization may be an important biological basis for intelligence. Networks of interconnected brain regions coordinate brain activities. Information is processed in the grey matter (cortex and subcortical structures) and passed along the network via whitish, fatty-coated fiber bundles, the white matter. Using maps of these white matter tracks, we provided evidence that higher intelligence may result from more efficient information transfer. Specifically, we hypothesized that higher IQ derives from higher global efficiency of the brain anatomical network. Seventy-nine healthy young adults were divided into general and high IQ groups. We used diffusion tensor tractography, which maps brain white matter fibers, to construct anatomical brain networks for each subject and calculated the network properties using both binary and weighted networks. We consistently found that the high intelligence group's brain network was significantly more efficient than was the general intelligence group's. Moreover, IQ scores were significantly correlated with network properties, such as shorter path lengths and higher overall efficiency, indicating that the information transfer in the brain was more efficient. These converging evidences support the hypothesis that the efficiency of the organization of the brain structure may be an important biological basis for intelligence.
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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：
4.3
作者：
Achard S;Bullmore E
通讯作者：
Bullmore E
影响因子：
3.7
作者：
Hagmann, Patric;Kurant, Maciej;Gigandet, Xavier;Thiran, Patrick;Wedeen, Van J.;Meuli, Reto;Thiran, Jean-Philippe
通讯作者：
Thiran, Jean-Philippe
影响因子：
1.7
作者：
Gibson, KR
通讯作者：
Gibson, KR