Resting state network modularity along the prodromal late onset Alzheimer's disease continuum
Resting state network modularity along the prodromal late onset Alzheimer's disease continuum
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DOI：
10.1016/j.nicl.2019.101687
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发表时间：
2019-01-01
影响因子：
4.2
通讯作者：
Sporns, Olaf
中科院分区：
文献类型：
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作者：
Contreras, Joey A.;Avena-Koenigsberger, Andrea;Sporns, Olaf
阿尔茨海默病被认为是一种断开综合症，促使使用大脑网络措施来检测全脑休息状态功能连接(FC)的变化。我们研究了阿尔茨海默病四个不同阶段静息状态网络(RSN)内和之间Fc的变化。在两组独立的个体(分别为84人和58人)中检查了Fc的变化，每个人包括对照组、主观认知减退组、轻度认知障碍组和阿尔茨海默病痴呆组。对于每个参与者，FC被计算为来自278个灰质脑区的时间序列对之间的皮尔逊相关性矩阵。我们使用两种不同的方法，即网络权变分析和多分辨率共识聚类，确定了FC模块化组织中的显著差异。网络偶然性分析确定了不同临床组的RSN子块显著不同。多分辨率共识聚类确定了不同空间尺度上模块稳定性的差异。重要的模块被进一步测试与记忆和执行功能认知领域分数的统计关联。在两种分析方法和两个参与者队列中，结果集中在FC模式上，这种模式随额顶网络(FP)内的诊断以及FP网络和默认模式网络(DMN)之间的诊断而有系统地变化。模块化组织的干扰表现为FP网络的内部连贯性更强，FP和DMN之间的耦合更强，导致这两个网络的分离程度较低。我们的发现表明，特定RSN内部和之间的相互作用模式为阿尔茨海默病谱系中发生的功能障碍提供了新的见解。
Alzheimer's disease is considered a disconnection syndrome, motivating the use of brain network measures to detect changes in whole-brain resting state functional connectivity (FC). We investigated changes in FC within and among resting state networks (RSN) across four different stages in the Alzheimer's disease continuum. FC changes were examined in two independent cohorts of individuals (84 and 58 individuals, respectively) each comprising control, subjective cognitive decline, mild cognitive impairment and Alzheimer's dementia groups. For each participant, FC was computed as a matrix of Pearson correlations between pairs of time series from 278 gray matter brain regions. We determined significant differences in FC modular organization with two distinct approaches, network contingency analysis and multiresolution consensus clustering. Network contingency analysis identified RSN sub-blocks that differed significantly across clinical groups. Multiresolution consensus clustering identified differences in the stability of modules across multiple spatial scales. Significant modules were further tested for statistical association with memory and executive function cognitive domain scores. Across both analytic approaches and in both participant cohorts, the findings converged on a pattern of FC that varied systematically with diagnosis within the frontoparietal network (FP) and between the FP network and default mode network (DMN). Disturbances of modular organization were manifest as greater internal coherence of the FP network and stronger coupling between FP and DMN, resulting in less segregation of these two networks. Our findings suggest that the pattern of interactions within and between specific RSNs offers new insight into the functional disruption that occurs across the Alzheimer's disease spectrum.