Dynamic off-resonance correction improves functional image analysis in fMRI of awake behaving non-human primates
Dynamic off-resonance correction improves functional image analysis in fMRI of awake behaving non-human primates
复制标题
动态偏共振校正改善了清醒行为非人类灵长类动物的功能磁共振成像功能图像分析
DOI：
10.1101/2023.10.18.562796
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Shahdloo M
中科院分区：
文献类型：
--
作者：
Shahdloo M
功能性磁共振成像在清醒的非人灵长类动物（NHPs）中的应用最近有所增加。在清醒时扫描动物使得在没有麻醉剂调制的情况下收集数据成为可能，并且具有扩展范围的可能实验设计。然而，由于由动物的身体运动引入的时变非共振变化引起的强烈伪影，稳健的清醒NHP成像是具有挑战性的。在这项研究中，我们试图彻底调查的效果，一个新提出的动态非共振校正方法对大脑激活的估计，使用延长清醒NHP data.MethodsWe校正动态B0的变化，在重建的高度加速同时多切片EPI收购估计和校正动态场扰动。功能磁共振成像数据收集在四个男性恒河猴执行决策任务的扫描仪，并进行分析的灵敏度和可靠性的改善相比，传统的图像reconstruction. ResultsApplication的校正导致减少偏见和改善重建的时间序列数据的时间稳定性。我们发现在个人和组水平的功能激活的敏感性增加，以及提高可靠性的统计参数estimation.ConclusionsOur结果显示显着改善图像保真度，使用我们提出的校正策略，以及大大增强和更可靠的激活估计GLM分析。
IntroductionUse of functional MRI in awake non-human primate (NHPs) has recently increased. Scanning animals while awake makes data collection possible in the absence of anesthetic modulation and with an extended range of possible experimental designs. Robust awake NHP imaging however is challenging due to the strong artifacts caused by time-varying off-resonance changes introduced by the animal's body motion. In this study, we sought to thoroughly investigate the effect of a newly proposed dynamic off-resonance correction method on brain activation estimates using extended awake NHP data.MethodsWe correct for dynamic B0 changes in reconstruction of highly accelerated simultaneous multi-slice EPI acquisitions by estimating and correcting for dynamic field perturbations. Functional MRI data were collected in four male rhesus monkeys performing a decision-making task in the scanner, and analyses of improvements in sensitivity and reliability were performed compared to conventional image reconstruction.ResultsApplying the correction resulted in reduced bias and improved temporal stability in the reconstructed time-series data. We found increased sensitivity to functional activation at the individual and group levels, as well as improved reliability of statistical parameter estimates.ConclusionsOur results show significant improvements in image fidelity using our proposed correction strategy, as well as greatly enhanced and more reliable activation estimates in GLM analyses.
影响因子：
5.7
作者：
Autio JA;Zhu Q;Li X;Glasser MF;Schwiedrzik CM;Fair DA;Zimmermann J;Yacoub E;Menon RS;Van Essen DC;Hayashi T;Russ B;Vanduffel W
通讯作者：
Vanduffel W
影响因子：
5.7
作者：
Risk BB;Murden RJ;Wu J;Nebel MB;Venkataraman A;Zhang Z;Qiu D
通讯作者：
Qiu D
影响因子：
3.7
作者：
Seah S;Asad AB;Baumgartner R;Feng D;Williams DS;Manigbas E;Beaver JD;Reese T;Henry B;Evelhoch JL;Chin CL
通讯作者：
Chin CL