PDF(Pubmed)
Abstract：
BACKGROUND: Global brain connectivity (GBC) enables measuring brain regions\' functional connectivity strength at rest by computing the average correlation between each brain voxel\'s time-series and that of all other voxels.
METHODS: We used resting-state fMRI (rs-fMRI) data of young adult participants from the Human Connectome Project (HCP) dataset to explore the test-retest stability of GBC, the brain regions with higher or lower GBC, as well as the associations of this measure with age, sex, and fluid intelligence. GBC was computed by considering separately the positive and negative correlation coefficients (positive GBC and negative GBC).
RESULTS: Test-retest stability was higher for positive compared to negative GBC. Areas with higher GBC were located in the default mode network, insula, and visual areas, while regions with lower GBC were in subcortical regions, temporal cortex, and cerebellum. Higher age was related to global reduction of positive GBC. Males displayed higher positive GBC in the whole brain. Fluid intelligence was associated to increased positive GBC in fronto-parietal, occipital and temporal regions.
CONCLUSIONS: Compared to previous works, this study adopted a larger sample size and tested GBC stability using data from different rs-fMRI sessions. Moreover, these associations were examined by testing positive and negative GBC separately.
CONCLUSIONS: Lower stability for negative compared to positive GBC suggests that negative correlations may reflect less stable couplings between brain regions. Our findings indicate a greater importance of positive compared to negative GBC for the associations of functional connectivity strength with biological and neurocognitive variables.
METHODS: We used resting-state fMRI (rs-fMRI) data of young adult participants from the Human Connectome Project (HCP) dataset to explore the test-retest stability of GBC, the brain regions with higher or lower GBC, as well as the associations of this measure with age, sex, and fluid intelligence. GBC was computed by considering separately the positive and negative correlation coefficients (positive GBC and negative GBC).
RESULTS: Test-retest stability was higher for positive compared to negative GBC. Areas with higher GBC were located in the default mode network, insula, and visual areas, while regions with lower GBC were in subcortical regions, temporal cortex, and cerebellum. Higher age was related to global reduction of positive GBC. Males displayed higher positive GBC in the whole brain. Fluid intelligence was associated to increased positive GBC in fronto-parietal, occipital and temporal regions.
CONCLUSIONS: Compared to previous works, this study adopted a larger sample size and tested GBC stability using data from different rs-fMRI sessions. Moreover, these associations were examined by testing positive and negative GBC separately.
CONCLUSIONS: Lower stability for negative compared to positive GBC suggests that negative correlations may reflect less stable couplings between brain regions. Our findings indicate a greater importance of positive compared to negative GBC for the associations of functional connectivity strength with biological and neurocognitive variables.
摘要：
背景：全局脑连通性（GBC）能够通过计算每个脑体素的时间序列与所有其他体素的时间序列之间的平均相关性来测量休息时的脑区功能连通性强度。
方法：我们使用HumanConnectomeProject（HCP）数据集中的年轻成年参与者的静息状态功能磁共振成像（rs-fMRI）数据来探索GBC的重测稳定性，GBC较高或较低的大脑区域，以及这项措施与年龄的关联，性别,和流体智能。通过分别考虑正相关系数和负相关系数（正GBC和负GBC）来计算GBC。
结果：与阴性GBC相比，阳性的重测稳定性更高。GBC较高的区域位于默认模式网络中，脑岛,和视觉区域，而GBC较低的区域位于皮质下区域，颞叶皮层,还有小脑.较高的年龄与全球阳性GBC减少有关。男性在全脑中显示出较高的阳性GBC。流体智力与额顶叶GBC阳性增加有关，枕部和颞部。
结论：与以前的作品相比，这项研究采用了更大的样本量，并使用来自不同rs-fMRI会议的数据测试了GBC稳定性。此外，通过分别检测阳性和阴性GBC来检查这些相关性.
结论：与阳性GBC相比，阴性GBC的稳定性较低，这表明负相关可能反映了大脑区域之间较不稳定的耦合。我们的发现表明，与负GBC相比，正GBC对于功能连接强度与生物学和神经认知变量的关联具有更大的重要性。
方法：我们使用HumanConnectomeProject（HCP）数据集中的年轻成年参与者的静息状态功能磁共振成像（rs-fMRI）数据来探索GBC的重测稳定性，GBC较高或较低的大脑区域，以及这项措施与年龄的关联，性别,和流体智能。通过分别考虑正相关系数和负相关系数（正GBC和负GBC）来计算GBC。
结果：与阴性GBC相比，阳性的重测稳定性更高。GBC较高的区域位于默认模式网络中，脑岛,和视觉区域，而GBC较低的区域位于皮质下区域，颞叶皮层,还有小脑.较高的年龄与全球阳性GBC减少有关。男性在全脑中显示出较高的阳性GBC。流体智力与额顶叶GBC阳性增加有关，枕部和颞部。
结论：与以前的作品相比，这项研究采用了更大的样本量，并使用来自不同rs-fMRI会议的数据测试了GBC稳定性。此外，通过分别检测阳性和阴性GBC来检查这些相关性.
结论：与阳性GBC相比，阴性GBC的稳定性较低，这表明负相关可能反映了大脑区域之间较不稳定的耦合。我们的发现表明，与负GBC相比，正GBC对于功能连接强度与生物学和神经认知变量的关联具有更大的重要性。
