Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth.

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth.
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DOI:
10.1016/j.neuroimage.2013.06.045
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发表时间:
2013-12
期刊:
影响因子:
5.7
通讯作者:
Gur, Ruben C.
Gur, Ruben C.
中科院分区:
医学1区
文献类型:
--
作者:
Satterthwaite, Theodore D.;Wolf, Daniel H.;Ruparel, Kosha;Erus, Guray;Elliott, Mark A.;Eickhoff, Simon B.;Gennatas, Efstathios D.;Jackson, Chad;Prabhakaran, Karthik;Smith, Alex;Hakonarson, Hakon;Verna, Ragini;Davatzikos, Christos;Gur, Raquel E.;Gur, Ruben C.

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几项独立的研究表明,少量的扫描仪内运动系统性地偏倚静息状态功能连接的估计。这种混淆对于青年神经发育的研究特别重要,因为运动与这一时期的受试者年龄密切相关。重要的是,运动对连接的影响模拟了神经发育研究的主要发现,特别是与年龄相关的远距离连接的加强和短距离连接的减弱。在这里,在780名8-22岁的受试者的样本中,我们重新评估了青少年发展过程中功能连接的变化模式,在严格控制了受试者和群体水平上运动的混杂影响后。我们发现,运动伪影膨胀的整体估计与年龄相关的变化,以及特定的距离相关的变化连接。当运动被更充分地考虑时,与年龄相关的变化的流行率以及与距离相关的影响的强度大大降低。然而,与年龄有关的变化仍然非常显著。与此相反,运动伪影往往掩盖与年龄相关的变化与分离的功能性大脑模块的连接,改进的预处理技术允许更高的灵敏度,以检测增加模块内的连接发生与发展。最后,我们表明,受试者的年龄仍然可以准确地估计从功能连接的多元模式,即使在控制运动。两者合计,这些结果表明,虽然运动伪影有显着的和异质性的影响,估计在青春期的连接变化,功能连接仍然是一个有价值的表型的神经发育的研究。
Several independent studies have demonstrated that small amounts of in-scanner motion systematically bias estimates of resting-state functional connectivity. This confound is of particular importance for studies of neurodevelopment in youth because motion is strongly related to subject age during this period. Critically, the effects of motion on connectivity mimic major findings in neurodevelopmental research, specifically an age-related strengthening of distant connections and weakening of short-range connections. Here, in a sample of 780 subjects ages 8–22, we re-evaluate patterns of change in functional connectivity during adolescent development after rigorously controlling for the confounding influences of motion at both the subject and group level. We find that motion artifact inflates both overall estimates of age-related change as well as specific distance-related changes in connectivity. When motion is more fully accounted for, the prevalence of age-related change as well as the strength of distance-related effects is substantially reduced. However, age-related changes remain highly significant. In contrast, motion artifact tends to obscure age-related changes in connectivity associated with segregation of functional brain modules; improved preprocessing techniques allow greater sensitivity to detect increased within-module connectivity occurring with development. Finally, we show that subject’s age can still be accurately estimated from the multivariate pattern of functional connectivity even while controlling for motion. Taken together, these results indicate that while motion artifact has a marked and heterogeneous impact on estimates of connectivity change during adolescence, functional connectivity remains a valuable phenotype for the study of neurodevelopment.
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