Imprints of extreme prematurity on functional brain networks in school-aged children and adolescents

IF 4.5 2区 医学 Q1 NEUROIMAGING
Maksym Tokariev , Virve Vuontela , Anton Tokariev , Piia Lönnberg , Sture Andersson , Helena Mäenpää , Marjo Metsäranta , Aulikki Lano , Synnöve Carlson
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引用次数: 0

Abstract

Cognitive functions emerge from dynamic functional interplay of cortical and subcortical areas that form networks. Preterm birth poses a risk for the formation and functionality of brain networks which may lead to severe brain dysfunctions. Infants born extremely preterm have the highest risk of developing neurocognitive impairments. However, it is still poorly understood how functional brain networks are organized and linked with the cognitive impairments in extremely prematurely born children and adolescents. We applied network-based statistics to study functional network connectivity during two brain-states, resting-state (Rest) and visuospatial working memory n-back tasks (Task), in a unique cohort of extremely preterm-born school-aged children and adolescents (n = 24, mean age 10.3 y, range 7.4–16.4 y) with normal general cognitive abilities and in their term-born peers (n = 22, mean age 9.5 y, range 7.4–13.7 y). We found significant group differences in functional connectivity strength in networks that support complex cognitive performance. The preterm group, compared with controls, modulated functional connectivity between Rest and Task differently within the dorsal attention (DAN, p = 0.016), default mode (DMN, p = 0.026) and visual (VN, p = 0.022) networks, and between DMN – DAN (p = 0.024), DMN – ventral attention network (VAN) (p = 0.035), and DMN – frontoparietal network (FPN) (p = 0.015). The groups also showed opposite age-related changes in connectivity strength within the DAN (Task, p = 0.005; Rest, p = 0.012), DMN (Task, p = 0.015) and FPN (Task, p = 0.002), and between the DAN – VAN (p = 0.047) and DAN – FPN (p = 0.009) during Rest, and FPN – VAN (p =0.028), DAN – FPN (p = 0.006), DMN – DAN (p = 0.042), DMN – VAN (p = 0.023), and DMN – FPN (p = 0.007) during Task. In controls, stronger within-network connectivity associated with better n-back task performance, whereas in the preterm group, stronger between-network connectivity associated with poorer performance. These results suggest that adjustment of functional connectivity to the cognitive demands supports successful performance in school-aged children and adolescents and that extremely preterm birth compromises the dynamics and developmental trajectories of brain networks.
极端早产对学龄儿童和青少年功能性脑网络的影响。
认知功能产生于皮层和皮层下区域形成网络的动态功能相互作用。早产对大脑网络的形成和功能构成风险,可能导致严重的大脑功能障碍。极度早产的婴儿患神经认知障碍的风险最高。然而,在极度早产的儿童和青少年中,功能性大脑网络是如何组织和与认知障碍联系在一起的,人们仍然知之甚少。我们应用基于网络的统计研究了两种大脑状态下的功能网络连通性,休息状态(Rest)和视觉空间工作记忆n-back任务(Task),在一组具有正常一般认知能力的极早产学龄儿童和青少年(n = 24,平均年龄10.3岁,范围7.4-16.4岁)和足月出生的同龄人(n = 22,平均年龄9.5岁,范围7.4-13.7岁)中。我们发现,在支持复杂认知表现的网络中,功能连接强度存在显著的组间差异。早产组与控制相比,调制功能连通性在背侧注意休息和任务之间的不同(DAN, = 0.016页),默认模式(静息, = 0.026页)和视觉(VN, = 0.022页)网络,并在静息-丹(p = 0.024),静——腹关注网络(VAN) (p = 0.035),和静——frontoparietal网络红外系统)(p = 0.015)。对面的团体也显示与年龄相关的连接强度的变化在丹(任务,p = 0.005;休息,p = 0.012),静(任务,p = 0.015)和红外系统(任务,p = 0.002),和丹-范之间(p = 0.047)和丹-红外系统(p = 0.009)期间休息,和红外系统——范(p = 0.028),丹-红外系统(p = 0.006),静息-丹(p = 0.042),静息-范(p = 0.023),和静——红外系统(p = 0.007)期间的任务。在对照组中,更强的网络内连通性与更好的n-back任务表现有关,而在早产儿组中,更强的网络间连通性与更差的表现有关。这些结果表明,对认知需求的功能连接的调整支持学龄儿童和青少年的成功表现,极端早产损害了大脑网络的动态和发育轨迹。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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