RT Journal Article
SR Electronic
T1 Assessing Overall Reproducibility for Large-scale High-throughput MRI-based Association Studies
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.08.18.253740
DO 10.1101/2020.08.18.253740
A1 Zeyu Jiao
A1 Yinglei Lai
A1 Jujiao Kang
A1 Weikang Gong
A1 Liang Ma
A1 Tianye Jia
A1 Chao Xie
A1 Wei Cheng
A1 Andreas Heinz
A1 Sylvane Desrivières
A1 Gunter Schumann
A1 IMAGEN Consortium
A1 Fengzhu Sun
A1 Jianfeng Feng
YR 2021
UL http://biorxiv.org/content/early/2021/07/13/2020.08.18.253740.abstract
AB Magnetic Resonance Imaging (MRI) technology has been increasingly used in large-scale association studies. Reproducibility of statistically significant findings generated by MRI-based association studies, especially structural MRI (sMRI) and functional MRI (fMRI), has been recently heavily debated. However, there is still a lack of overall reproducibility assessment for MRI-based association studies. It is also crucial to elucidate the relationship between overall reproducibility and sample size in an experimental design. In this study, we proposed an overall reproducibility index for large-scale high-throughput MRI-based association studies. We performed the overall reproducibility assessments for several recent large sMRI/fMRI databases and observed satisfactory overall reproducibility. Furthermore, we performed the sample size evaluation for the purpose of achieving a desirable overall reproducibility. Additionally, we evaluated the overall reproducibility of GMV changes for UKB vs. PPMI and UKB vs. HCP. We demonstrated that both sample size and some experimental factors play important roles in the overall reproducibility for different experiments. In summary, a systematic assessment of overall reproducibility is fundamental and crucial in the current large-scale high-throughput MRI-based research.Competing Interest StatementThe authors have declared no competing interest.