Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity

Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity
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发表时间:
2016-08
期刊:
arXiv: Neurons and Cognition
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通讯作者:
R. Ciric;D. Wolf;Jonathan D. Power;D. Roalf;Graham L. Baum;K. Ruparel;R. Shinohara;M. Elliott;S. Eickhoff;C. Davatzikos;R. Gur;R. Gur;D. Bassett;T. Satterthwaite
R. Ciric;D. Wolf;Jonathan D. Power;D. Roalf;Graham L. Baum;K. Ruparel;R. Shinohara;M. Elliott;S. Eickhoff;C. Davatzikos;R. Gur;R. Gur;D. Bassett;T. Satterthwaite
中科院分区:
其他
文献类型:
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作者:
R. Ciric;D. Wolf;Jonathan D. Power;D. Roalf;Graham L. Baum;K. Ruparel;R. Shinohara;M. Elliott;S. Eickhoff;C. Davatzikos;R. Gur;R. Gur;D. Bassett;T. Satterthwaite

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自从关于运动伪影对功能连通性测量的影响的初步报告以来,混淆回归方法的扩散限制了其影响。然而,最近的技术尚未使用一致的结果测量方法进行系统评估。在此,我们对193名年轻人的12种常用混杂回归方法进行了系统评估。具体来说,我们根据三个基准来比较方法,包括运动和连通性之间的残差关系,运动对连通性的距离依赖效应,以及混淆回归中失去的额外自由度。我们的结果描述了两种方法之间的明确权衡。首先,包括全局信号回归的方法将连通性和运动之间的关系最小化,但揭示了与距离相关的伪影。相比之下,审查方法减轻运动伪影和距离依赖,但使用额外的自由度。综上所述,这些结果强调了所提出方法的异质性功效,并表明不同的混杂回归策略可能适用于特定的科学目标。
Since initial reports regarding the impact of motion artifact on measures of functional connectivity, there has been a proliferation of confound regression methods to limit its impact. However, recent techniques have not been systematically evaluated using consistent outcome measures. Here, we provide a systematic evaluation of 12 commonly used confound regression methods in 193 young adults. Specifically, we compare methods according to three benchmarks, including the residual relationship between motion and connectivity, distance-dependent effects of motion on connectivity, and additional degrees of freedom lost in confound regression. Our results delineate two clear trade-offs among methods. First, methods that include global signal regression minimize the relationship between connectivity and motion, but unmask distance-dependent artifact. In contrast, censoring methods mitigate both motion artifact and distance-dependence, but use additional degrees of freedom. Taken together, these results emphasize the heterogeneous efficacy of proposed methods, and suggest that different confound regression strategies may be appropriate in the context of specific scientific goals.