Dysconnectivity of neurocognitive networks at rest in very-preterm born adults.
Dysconnectivity of neurocognitive networks at rest in very-preterm born adults.
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DOI：
10.1016/j.nicl.2014.01.005
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发表时间：
2014
影响因子：
4.2
通讯作者：
Nosarti, Chiara
中科院分区：
文献类型：
--
作者：
White, Thomas P.;Symington, Iona;Castellanos, Nazareth P.;Brittain, Philip J.;Walsh, Sean Froudist;Nam, Kie-Woo;Sato, Joao R.;Allin, Matthew P. G.;Shergill, Sukhi S.;Murray, Robin M.;Williams, Steve C. R.;Nosarti, Chiara
新生儿医学的进步导致了更大比例的早产儿成年。他们更容易患上精神疾病以及认知和行为障碍，这会对大脑产生持久的影响；然而，中枢生理障碍仍不清楚。对于高效的大脑功能来说，最重要的是神经网络的协调和与背景相关的招募。大规模分布式网络是先天出现的，随着网络的发展，层次化的复杂性不断增加。早产儿在婴儿期表现出这些网络中关联强度的系统性降低。在这里，我们研究了29名早产儿(VPT)和23名足月儿对照组的功能磁共振成像数据中的静息状态功能连接。神经认知网络通过使用Infomax算法和ICasso程序进行的空间独立分量分析来识别，以增强分量的稳健性。网络空间焦点和频谱能量一般不会受到早产的显著影响。相比之下，对网络活动时间进程的格兰杰因果关系分析显示，早产儿组的网络间连通性普遍减少，特别是沿着包括显著网络特征的路径。这些Granger因果测量的潜在临床相关性是通过对连接强度的拓扑表示的线性判别分析来提出的，该方法按组对个体进行分类，最高准确率为86%。从纹状体突起网络到后方默认模式网络的功能联系对这一分类提供了最有力的信息。此外，在VPT出生组中，还发现围产期因素显着缓和了执行功能(VPT出生组与足月出生组相比降低)与广义部分定向连贯之间的关系。总而言之，这些发现表明，早产儿的静息状态功能连接在成年后仍然受到影响；并提供了一致的证据，表明纹状体突出网络优先受到影响。旨在加强网络内凝聚力和微调网络间相互关系的治疗做法可能有可能减轻早产造成的认知、行为和精神影响。使用功能磁共振成像研究了休息状态下早产儿的功能连接性。对神经认知网络之间的广义部分定向一致性进行了评估。早产儿表现出广泛的连接强度降低。相干衍生的图拓扑可以识别早产成人。
Advances in neonatal medicine have resulted in a larger proportion of preterm-born individuals reaching adulthood. Their increased liability to psychiatric illness and impairments of cognition and behaviour intimate lasting cerebral consequences; however, the central physiological disturbances remain unclear. Of fundamental importance to efficient brain function is the coordination and contextually-relevant recruitment of neural networks. Large-scale distributed networks emerge perinatally and increase in hierarchical complexity through development. Preterm-born individuals exhibit systematic reductions in correlation strength within these networks during infancy. Here, we investigate resting-state functional connectivity in functional magnetic resonance imaging data from 29 very-preterm (VPT)-born adults and 23 term-born controls. Neurocognitive networks were identified with spatial independent component analysis conducted using the Infomax algorithm and employing Icasso procedures to enhance component robustness. Network spatial focus and spectral power were not generally significantly affected by preterm birth. By contrast, Granger-causality analysis of the time courses of network activity revealed widespread reductions in between-network connectivity in the preterm group, particularly along paths including salience-network features. The potential clinical relevance of these Granger-causal measurements was suggested by linear discriminant analysis of topological representations of connection strength, which classified individuals by group with a maximal accuracy of 86%. Functional connections from the striatal salience network to the posterior default mode network informed this classification most powerfully. In the VPT-born group it was additionally found that perinatal factors significantly moderated the relationship between executive function (which was reduced in the VPT-born as compared with the term-born group) and generalised partial directed coherence. Together these findings show that resting-state functional connectivity of preterm-born individuals remains compromised in adulthood; and present consistent evidence that the striatal salience network is preferentially affected. Therapeutic practices directed at strengthening within-network cohesion and fine-tuning between-network inter-relations may have the potential to mitigate the cognitive, behavioural and psychiatric repercussions of preterm birth. Functional connectivity was investigated using fMRI in preterm-born adults at rest. Generalised partial directed coherence was assessed between neurocognitive networks. Preterm-born adults exhibited widespread reductions in connection strength. Coherence-derived graph topology permitted identification of preterm-born adults.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
3.7
作者：
Allin, Matthew P. G.;Kontis, Dimitris;Nosarti, Chiara
通讯作者：
Nosarti, Chiara
影响因子：
5.7
作者：
De Havas, Jack A.;Parimal, Sarayu;Chee, Michael W. L.
通讯作者：
Chee, Michael W. L.
影响因子：
7
作者：
Curran, PJ;West, SG;Finch, JF
通讯作者：
Finch, JF
影响因子：
14.5
作者：
Castellanos, Nazareth P.;Paul, Nuria;Maestu, Fernando
通讯作者：
Maestu, Fernando