Harmonization of multi-site functional MRI data with dual-projection based ICA model.
Harmonization of multi-site functional MRI data with dual-projection based ICA model.
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DOI：
10.3389/fnins.2023.1225606
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发表时间：
2023
影响因子：
4.3
通讯作者：
Cong, Fengyu
中科院分区：
文献类型：
--
作者：
Xu, Huashuai;Hao, Yuxing;Zhang, Yunge;Zhou, Dongyue;Karkkainen, Tommi;Nickerson, Lisa D.;Li, Huanjie;Cong, Fengyu
关键词：
现代神经影像学研究经常合并来自多个部位的磁共振成像（MRI）数据。一个更大、更多样化的参与者群体可以增加统计能力，增强神经影像学研究的可靠性和可重复性，并获得更能代表一般人群的研究结果。然而，由扫描仪的站点差异引起的测量偏差在汇集从不同站点收集的数据时代表了一个障碍。场地效应的存在可以掩盖生物效应，导致虚假的发现。我们最近提出了一种强大的去噪策略，该策略实现了基于ICA的双投影（DP）理论，从汇总数据中去除与位置相关的影响，展示了模拟和体内结构MRI数据的方法。本研究探讨了使用我们基于dp的ICA去噪方法来协调从自闭症脑成像数据交换II收集的功能MRI （fMRI）数据。经过频域和区域均匀性分析，采用低频波动幅度（ALFF）和区域均匀性（ReHo）两种模式验证了我们的方法。结果表明，基于dp的ICA去噪方法消除了两种fMRI模式的不必要的位点效应，并增加了非成像变量（年龄、性别等）与fMRI测量之间关联的重要性。综上所述，我们的DP方法可以应用于fMRI数据的多位点研究，使神经影像学研究结果更加准确可靠。
Modern neuroimaging studies frequently merge magnetic resonance imaging (MRI) data from multiple sites. A larger and more diverse group of participants can increase the statistical power, enhance the reliability and reproducibility of neuroimaging research, and obtain findings more representative of the general population. However, measurement biases caused by site differences in scanners represent a barrier when pooling data collected from different sites. The existence of site effects can mask biological effects and lead to spurious findings. We recently proposed a powerful denoising strategy that implements dual-projection (DP) theory based on ICA to remove site-related effects from pooled data, demonstrating the method for simulated and in vivo structural MRI data. This study investigates the use of our DP-based ICA denoising method for harmonizing functional MRI (fMRI) data collected from the Autism Brain Imaging Data Exchange II. After frequency-domain and regional homogeneity analyses, two modalities, including amplitude of low frequency fluctuation (ALFF) and regional homogeneity (ReHo), were used to validate our method. The results indicate that DP-based ICA denoising method removes unwanted site effects for both two fMRI modalities, with increases in the significance of the associations between non-imaging variables (age, sex, etc.) and fMRI measures. In conclusion, our DP method can be applied to fMRI data in multi-site studies, enabling more accurate and reliable neuroimaging research findings.
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影响因子：
5.7
作者：
Eshaghzadeh Torbati M;Minhas DS;Ahmad G;O'Connor EE;Muschelli J;Laymon CM;Yang Z;Cohen AD;Aizenstein HJ;Klunk WE;Christian BT;Hwang SJ;Crainiceanu CM;Tudorascu DL
通讯作者：
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影响因子：
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作者：
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DOI：
10.1073/pnas.0911855107
发表时间：
2010-03-09
影响因子：
11.1
作者：
Biswal, Bharat B.;Mennes, Maarten;Milham, Michael P.
通讯作者：
Milham, Michael P.
影响因子：
9.3
作者：
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通讯作者：
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