Lateralization of resting state networks and relationship to age and gender.
Lateralization of resting state networks and relationship to age and gender.
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DOI：
10.1016/j.neuroimage.2014.09.001
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发表时间：
2015-01-01
期刊：
影响因子：
5.7
通讯作者：
Calhoun VD
中科院分区：
文献类型：
--
作者：
Agcaoglu O;Miller R;Mayer AR;Hugdahl K;Calhoun VD
大脑偏侧化是一个被广泛研究的课题，然而，针对静息态大脑中内在网络（体素间呈现相似协变模式的区域）的偏侧化研究却很少。在这项研究中，我们在一个年龄和性别均衡的功能性磁共振成像（fMRI）数据集中评估静息态网络偏侧化，该数据集包含600多名年龄在12岁到71岁之间的健康受试者。在确定了整个样本的网络偏侧化特性之后，我们继续研究年龄和性别对网络偏侧化的影响。所有数据均在同一台扫描仪上采集，并使用自动化流程进行预处理。通过组独立成分分析（gICA）提取网络。对先前研究中讨论的28个静息态网络进行了重新分析，重点关注偏侧化。我们为每个网络计算了同伦体素层面的偏侧性度量以及一种称为偏侧性辅因子的全局偏侧化度量。正如预期的那样，许多内在大脑网络都存在偏侧化。例如，视觉网络强烈偏向右半球，听觉网络和默认模式网络大多偏向左半球。注意网络和额叶网络包含偏向左半球的节点以及偏向右半球的其他节点。年龄与多个区域的偏侧化密切相关，包括感觉运动网络区域的中央前回、中央后回和缘上回；视觉网络区域的舌回；注意网络区域的顶下小叶、顶上小叶和颞中回；以及额叶网络区域包括额下回。性别主要在两个区域显示出显著影响，包括视觉网络和额叶网络。例如，男性的额下回更偏向右半球。在全局度量上，在感觉运动网络和视觉网络中发现了年龄的显著影响。总之，我们报告了一项大样本的偏侧化研究，发现内在功能性大脑网络具有高度偏侧化，局部区域与性别和年龄密切相关，年龄是偏侧化的一个重要因素，性别在偏侧性的全局度量上呈现出趋势水平的影响。
Brain lateralization is a widely studied topic, however there has been little work focused on lateralization of intrinsic networks (regions showing similar patterns of covariation among voxels) in the resting brain. In this study, we evaluate resting state network lateralization in an age and gender-balanced functional magnetic resonance imaging (fMRI) dataset comprising over 600 healthy subjects ranging in age from 12 to 71. After establishing sample-wide network lateralization properties, we continue with an investigation of age and gender effects on network lateralization. All data was gathered on the same scanner and preprocessed using an automated pipeline. Networks were extracted via group independent component analysis (gICA). Twenty-eight resting state networks discussed in previous work were re-analyzed with a focus on lateralization. We calculated homotopic voxelwise measures of laterality in addition to a global lateralization measure, called the laterality cofactor, for each network. As expected, many of the intrinsic brain networks were lateralized. For example, the visual network was strongly right lateralized, auditory network and default mode networks were mostly left lateralized. Attentional and frontal networks included nodes that were left lateralized and other nodes that were right lateralized. Age was strongly related to lateralization in multiple regions including sensorimotor network regions precentral gyrus, postcentral gyrus and supramarginal gyrus; and visual network regions lingual gyrus; attentional network regions inferior parietal lobule, superior parietal lobule and middle temporal gyrus; and frontal network regions including the inferior frontal gyrus. Gender showed significant effects mainly in two regions, including visual and frontal networks. For example, the inferior frontal gyrus was more right lateralized in males. Significant effects of age were found in sensorimotor and visual networks on the global measure. In summary, we report a large-sample of lateralization study that finds intrinsic functional brain networks to be highly lateralized, with regions that are strongly related to gender and age locally, and with age a strong factor in lateralization, and gender exhibiting a trend-level effect on global measures of laterality.
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