Yang Zhi, Chang Catie, Xu Ting, Jiang Lili, Handwerker Daniel A, Castellanos F Xavier, Milham Michael P, Bandettini Peter A, Zuo Xi-Nian
Key Laboratory of Behavioral Science, Laboratory for Functional Connectome and Development, Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Advanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
Neuroimage. 2014 Apr 1;89:45-56. doi: 10.1016/j.neuroimage.2013.10.039. Epub 2013 Nov 25.
The default network of the human brain has drawn much attention due to its relevance to various brain disorders, cognition, and behavior. However, its functional components and boundaries have not been precisely defined. There is no consensus as to whether the precuneus, a hub in the functional connectome, acts as part of the default network. This discrepancy is more critical for brain development and aging studies: it is not clear whether age has a stronger impact on the default network or precuneus, or both. We used Generalized Ranking and Averaging Independent Component Analysis by Reproducibility (gRAICAR) to investigate the lifespan trajectories of intrinsic functional networks. By estimating individual-specific spatial components and aligning them across subjects, gRAICAR measures the spatial variation of component maps across a population without constraining the same components to appear in every subject. In a cross-lifespan fMRI dataset (N=126, 7-85years old), we observed stronger age dependence in the spatial pattern of a precuneus-dorsal posterior cingulate cortex network compared to the default network, despite the fact that the two networks exhibit considerable spatial overlap and temporal correlation. These results remained even when analyses were restricted to a subpopulation with very similar head motion across age. Our analyses further showed that the two networks tend to merge with increasing age. Post-hoc analyses of functional connectivity confirmed the distinguishable cross-lifespan trajectories between the two networks. Based on these observations, we proposed a dynamic model of cross-lifespan functional segregation and integration between the two networks, suggesting that the precuneus network may have a different functional role than the default network, which declines with age. These findings have implications for understanding the functional roles of the default network, gaining insight into its dynamics throughout life, and guiding interpretation of alterations in brain disorders.
人类大脑的默认网络因其与各种脑部疾病、认知和行为的相关性而备受关注。然而,其功能组件和边界尚未得到精确界定。对于楔前叶(功能连接组中的一个枢纽)是否作为默认网络的一部分,目前尚无共识。这种差异在大脑发育和衰老研究中更为关键:尚不清楚年龄对默认网络还是楔前叶的影响更大,或者对两者的影响程度相同。我们使用可重复性广义排序和平均独立成分分析(gRAICAR)来研究内在功能网络的寿命轨迹。通过估计个体特定的空间成分并在受试者之间进行对齐,gRAICAR测量了整个人口中成分图的空间变化,而不要求每个受试者都出现相同的成分。在一个跨寿命的功能磁共振成像数据集(N = 126,7至85岁)中,我们观察到,与默认网络相比,楔前叶-背侧后扣带回皮质网络的空间模式中年龄依赖性更强,尽管这两个网络表现出相当大的空间重叠和时间相关性。即使分析仅限于年龄跨度内头部运动非常相似的亚群体,这些结果仍然成立。我们的分析进一步表明,随着年龄的增长,这两个网络倾向于合并。功能连接的事后分析证实了这两个网络之间明显的跨寿命轨迹。基于这些观察结果,我们提出了这两个网络之间跨寿命功能分离和整合的动态模型,表明楔前叶网络可能具有与默认网络不同的功能作用,且该作用会随着年龄的增长而衰退。这些发现对于理解默认网络的功能作用、深入了解其一生的动态变化以及指导脑部疾病变化的解释具有重要意义。