Predicting multiscan MRI outcomes in children with neurodevelopmental conditions following MRI simulator training.

Predicting multiscan MRI outcomes in children with neurodevelopmental conditions following MRI simulator training.
复制标题

DOI:
10.1016/j.dcn.2021.101009
复制
发表时间:
2021-12
影响因子:
4.7
通讯作者:
Di Martino A
Di Martino A
中科院分区:
医学1区
文献类型:
--
作者:
Simhal AK;Filho JOA;Segura P;Cloud J;Petkova E;Gallagher R;Castellanos FX;Colcombe S;Milham MP;Di Martino A

文献摘要

参考文献

相似文献

儿科脑成像对于理解神经发育具有重要前景。然而,在嘈杂的封闭式扫描仪内保持静止的要求仍然是一个挑战。对过程和/或 MRI 模拟器中的练习进行口头或视觉描述是让儿童做好准备的常态。然而,成功获得神经影像数据的预测因素仍不清楚。我们检查了 250 名患有自闭症和/或注意力缺陷/多动症儿童(6-12 岁,197 名男性)的数据。孩子们完成了系统的 MRI 模拟器培训,旨在适应扫描仪环境并尽量减少头部运动。 MRI 扫描包括多次结构扫描、静息状态扫描、任务扫描和扩散扫描。在通过模拟器训练并尝试扫描的 201 名儿童中,几乎所有儿童 (94%) 都成功完成了序列中的第一次结构扫描,88% 还完成了接下来的功能扫描。随着序列的进展,成功扫描的数量减少。多变量分析显示,年龄是扫描成功的最强预测因素,年龄较小的儿童成功率较低。年龄之后,感觉运动异常对预测的影响最大。结果提供了关于设计儿科脑成像方案时需要考虑的因素的见解。
Pediatric brain imaging holds significant promise for understanding neurodevelopment. However, the requirement to remain still inside a noisy, enclosed scanner remains a challenge. Verbal or visual descriptions of the process, and/or practice in MRI simulators are the norm in preparing children. Yet, the factors predictive of successfully obtaining neuroimaging data remain unclear. We examined data from 250 children (6–12 years, 197 males) with autism and/or attention-deficit/hyperactivity disorder. Children completed systematic MRI simulator training aimed to habituate to the scanner environment and minimize head motion. An MRI session comprised multiple structural, resting-state, task and diffusion scans. Of the 201 children passing simulator training and attempting scanning, nearly all (94%) successfully completed the first structural scan in the sequence, and 88% also completed the following functional scan. The number of successful scans decreased as the sequence progressed. Multivariate analyses revealed that age was the strongest predictor of successful scans in the session, with younger children having lower success rates. After age, sensorimotor atypicalities contributed most to prediction. Results provide insights on factors to consider in designing pediatric brain imaging protocols.
DOI: 10.1007/s00431-010-1181-z
发表时间: 2010-09
影响因子: 3.6
作者:
de Bie, Henrica M. A.;Boersma, Maria;Wattjes, Mike P.;Adriaanse, Sofie;Vermeulen, R. Jeroen;Oostrom, Kim J.;Huisman, Jaap;Veltman, Dick J.;Delemarre-Van de Waal, Henriette A.
通讯作者: Delemarre-Van de Waal, Henriette A.
DOI: 10.1038/nmeth.2482
发表时间: 2013-06
期刊: NATURE METHODS
影响因子: 48
作者:
Craddock, R. Cameron;Jbabdi, Saad;Yan, Chao-Gan;Vogelstein, Joshua T.;Castellanos, F. Xavier;Di Martino, Adriana;Kelly, Clare;Heberlein, Keith;Colcombe, Stan;Milham, Michael P.
通讯作者: Milham, Michael P.
DOI: 10.1016/j.neuroimage.2017.08.025
发表时间: 2017-11-01
期刊: NeuroImage
影响因子: 5.7
作者:
Dosenbach NUF;Koller JM;Earl EA;Miranda-Dominguez O;Klein RL;Van AN;Snyder AZ;Nagel BJ;Nigg JT;Nguyen AL;Wesevich V;Greene DJ;Fair DA
通讯作者: Fair DA
DOI: 10.1111/j.2517-6161.1995.tb02031.x
发表时间: 1995-01-01
影响因子: 5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者: HOCHBERG, Y
DOI: 10.1007/s10803-010-1135-3
发表时间: 2011-09
影响因子: 3.9
作者:
Grzadzinski, Rebecca;Di Martino, Adriana;Brady, Emily;Angeles Mairena, Maria;O'Neale, Matthew;Petkova, Eva;Lord, Catherine;Castellanos, F. Xavier
通讯作者: Castellanos, F. Xavier