Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease.
Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease.
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通过内在功能连接揭示的皮质中枢：绘图、稳定性评估以及与阿尔茨海默病的关系。
DOI：
10.1523/jneurosci.5062-08.2009
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发表时间：
2009-02-11
影响因子：
5.3
通讯作者：
Johnson, Keith A.
中科院分区：
文献类型：
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作者：
Buckner, Randy L.;Sepulcre, Jorge;Talukdar, Tanveer;Krienen, Fenna M.;Liu, Hesheng;Hedden, Trey;Andrews-Hanna, Jessica R.;Sperling, Reisa A.;Johnson, Keith A.
最近的证据表明，某些大脑区域充当互连不同的功能专业系统的枢纽。这些联系很有趣，因为它们在整合中的潜在作用，也因为它们可能会增强与脑部疾病相关的代谢级联。为了识别人类大脑皮层中的高连接性区域，我们应用了一种计算高效的方法来绘制整个大脑的内在功能连接程度。对两个单独的功能磁共振成像数据集（每个 n=24）的分析表明，中枢遍及关联皮层的异模态区域。突出的中枢位于后扣带回、外侧颞叶、外侧顶叶和内侧/外侧前额叶皮质内。网络分析显示，许多（但不是全部）中心位于先前被认为是默认网络组成部分的区域内。第三个数据集（n=12）表明，中枢的位置存在于被动和主动任务状态中，这表明它们反映了皮质网络架构的稳定特性。为了获得准确的参考图，我们将 127 名参与者的数据进行了合并，以得出对皮质中枢的一致估计。利用这一共识估计，我们探讨了中枢的地形是否可以解释阿尔茨海默氏病（AD）的脆弱性模式，因为一些模型表明高活性和新陈代谢的区域会加速病理学。 AD 中的 PET 淀粉样蛋白成像 (n=10) 与较老的对照组 (n=29) 相比，显示皮质中枢位置的 Aβ 沉积量较高，这与中枢在充当信息处理的关键中转站的同时也可能增强 AD 中潜在的病理级联反应的可能性一致。
Recent evidence suggests that some brain areas act as hubs interconnecting distinct, functionally-specialized systems. These nexuses are intriguing because of their potential role in integration and also because they may augment metabolic cascades relevant to brain disease. To identify regions of high connectivity in the human cerebral cortex, we applied a computationally-efficient approach to map the degree of intrinsic functional connectivity across the brain. Analysis of two separate fMRI datasets (each n=24) demonstrated hubs throughout heteromodal areas of association cortex. Prominent hubs were located within posterior cingulate, lateral temporal, lateral parietal, and medial/lateral prefrontal cortices. Network analysis revealed that many, but not all, hubs were located within regions previously implicated as components of the default network. A third dataset (n=12) demonstrated that the locations of hubs were present across passive and active task states suggesting that they reflect a stable property of cortical network architecture. To obtain an accurate reference map, data were combined across 127 participants to yield a consensus estimate of cortical hubs. Using this consensus estimate, we explored whether the topography of hubs could explain the pattern of vulnerability in Alzheimer’s disease (AD) as some models suggest that regions of high activity and metabolism accelerate pathology. PET amyloid imaging in AD (n=10) as compared to older controls (n=29) showed high Aβ deposition in the locations of cortical hubs consistent with the possibility that hubs, while acting as critical waystations for information processing, may also augment the underlying pathological cascade in AD.