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极早产儿成年后静息状态下神经认知网络的失连接

Dysconnectivity of neurocognitive networks at rest in very-preterm born adults.

作者信息

White Thomas P, Symington Iona, Castellanos Nazareth P, Brittain Philip J, Froudist Walsh Seán, Nam Kie-Woo, Sato João R, Allin Matthew P G, Shergill Sukhi S, Murray Robin M, Williams Steve C R, Nosarti Chiara

机构信息

Department of Psychosis Studies, Institute of Psychiatry, King's College London, de Crespigny Park, London SE5 8AF, UK.

Centre of Mathematics, Computation and Cognition, Universidade Federal do ABC, Av. dos Estados, 5001 Bairro Bangu, Santo André, SP CEP 09210-580, Brazil.

出版信息

Neuroimage Clin. 2014 Jan 18;4:352-65. doi: 10.1016/j.nicl.2014.01.005. eCollection 2014.

Abstract

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.

摘要

新生儿医学的进步使得更大比例的早产儿能够活到成年。他们患精神疾病以及认知和行为障碍的风险增加,这暗示着大脑存在持久的后果;然而,中枢生理紊乱仍不明确。对高效脑功能至关重要的是神经网络的协调和与情境相关的募集。大规模分布式网络在围产期出现,并在发育过程中层次复杂性增加。早产儿在婴儿期这些网络内的相关性强度会系统性降低。在此,我们研究了29名极早产儿(VPT)出生的成年人和23名足月儿出生的对照组的功能磁共振成像数据中的静息态功能连接。使用Infomax算法并采用Icasso程序进行空间独立成分分析来识别神经认知网络,以增强成分的稳健性。早产一般不会显著影响网络的空间焦点和频谱功率。相比之下,对网络活动时间进程的格兰杰因果分析显示,早产组网络间连接广泛减少,特别是沿着包括突显网络特征的路径。连接强度拓扑表示的线性判别分析表明了这些格兰杰因果测量的潜在临床相关性,该分析按组对个体进行分类,最大准确率为86%。从纹状体突显网络到后默认模式网络的功能连接对这种分类的贡献最大。在VPT出生组中还发现,围产期因素显著调节了执行功能(与足月儿出生组相比,VPT出生组的执行功能降低)与广义偏相干之间的关系。这些发现共同表明,早产儿的静息态功能连接在成年期仍受到损害;并提供了一致的证据表明纹状体突显网络受到的影响尤为明显。旨在加强网络内凝聚力和微调网络间相互关系的治疗方法可能有潜力减轻早产对认知、行为和精神方面的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c33/3930099/a65c065c2020/gr1.jpg

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