Dynamic time warping outperforms Pearson correlation in detecting atypical functional connectivity in autism spectrum disorders.

Dynamic time warping outperforms Pearson correlation in detecting atypical functional connectivity in autism spectrum disorders.
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DOI:
10.1016/j.neuroimage.2020.117383
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发表时间:
2020-12
期刊:
影响因子:
5.7
通讯作者:
Muller, R-A
Muller, R-A
中科院分区:
医学1区
文献类型:
--
作者:
Linke, A. C.;Mash, L. E.;Fong, C. H.;Kinnear, M. K.;Kohli, J. S.;Wilkinson, M.;Tung, R.;Keehn, R. J. Jao;Carper, R. A.;Fishman, I;Muller, R-A

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静息状态功能磁共振成像(rsfMRI)经常用于研究大脑功能,包括临床人群。脑区之间rsfMRI期间血氧水平依赖(BOLD)波动的相似性被认为反映了内在的功能连接(FC),可能是由于共激活的历史。为了量化相似性,研究几乎完全依赖于Pearson相关性,该相关性假设线性,因此如果血流动力学反应函数在区域上不同或时间序列之间存在BOLD信号滞后,则可能低估FC。在这里,我们在三个队列的儿童,青少年和成人,有和没有自闭症谱系障碍(ASD),使用非线性动态时间规整(DTW)测量BOLD信号波动的相似性是更强大的全局信号回归(GSR),具有更高的重测信度和更敏感的任务相关的FC的变化。此外,当比较自闭症患者和典型对照者之间的FC时,使用DTW检测到更多的组间差异。DTW估计也更相关的ASD症状的严重程度和执行功能,而皮尔森相关性估计FC更强烈地与呼吸rsfMRI。总之,这些研究结果表明,非线性方法,如DTW改善静息状态FC的估计,特别是当研究临床人群的血液动力学或神经血管耦合可能会改变相比,典型的控制。
Resting state fMRI (rsfMRI) is frequently used to study brain function, including in clinical populations. Similarity of blood-oxygen-level-dependent (BOLD) fluctuations during rsfMRI between brain regions is thought to reflect intrinsic functional connectivity (FC), potentially due to history of coactivation. To quantify similarity, studies have almost exclusively relied on Pearson correlation, which assumes linearity and can therefore underestimate FC if the hemodynamic response function differs regionally or there is BOLD signal lag between timeseries. Here we show in three cohorts of children, adolescents and adults, with and without autism spectrum disorders (ASDs), that measuring the similarity of BOLD signal fluctuations using non-linear dynamic time warping (DTW) is more robust to global signal regression (GSR), has higher test-retest reliability and is more sensitive to task-related changes in FC. Additionally, when comparing FC between individuals with ASDs and typical controls, more group differences are detected using DTW. DTW estimates are also more related to ASD symptom severity and executive function, while Pearson correlation estimates of FC are more strongly associated with respiration during rsfMRI. Together these findings suggest that non-linear methods such as DTW improve estimation of resting state FC, particularly when studying clinical populations whose hemodynamics or neurovascular coupling may be altered compared to typical controls.
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