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A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies

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IMAGEN Consortium (Including: Jiao, Zeyu, Lai, Yinglei, Kang, Jujiao, Gong, Weikang, Ma, Liang, Jia, Tianye, Xie, Chao, Xiang, Shitong, Cheng, Wei, Heinz, Andreas, Desrivières, Sylvane, Schumann, Gunter, Sun, Fengzhu and Feng, Jianfeng). (2022) A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. NeuroImage, 255 . 119166. doi:10.1016/j.neuroimage.2022.119166

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Official URL: https://doi.org/10.1016/j.neuroimage.2022.119166

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Abstract

Magnetic Resonance Imaging (MRI) technology has been increasingly used in neuroscience studies. Reproducibility of statistically significant findings generated by MRI-based studies, especially association studies (phenotype vs. MRI metric) and task-induced brain activation, has been recently heavily debated. However, most currently available reproducibility measures depend on thresholds for the test statistics and cannot be use to evaluate overall study reproducibility. It is also crucial to elucidate the relationship between overall study reproducibility and sample size in an experimental design. In this study, we proposed a model-based reproducibility index to quantify reproducibility which could be used in large-scale high-throughput MRI-based studies including both association studies and task-induced brain activation. We performed the model-based reproducibility assessments for a few association studies and task-induced brain activation by using several recent large sMRI/fMRI databases. For large sample size association studies between brain structure/function features and some basic physiological phenotypes (i.e. Sex, BMI), we demonstrated that the model-based reproducibility of these studies is more than 0.99. For MID task activation, similar results could be observed. Furthermore, we proposed a model-based analytical tool to evaluate minimal sample size for the purpose of achieving a desirable model-based reproducibility. Additionally, we evaluated the model-based reproducibility of gray matter volume (GMV) changes for UK Biobank (UKB) vs. Parkinson Progression Marker Initiative (PPMI) and UK Biobank (UKB) vs. Human Connectome Project (HCP). We demonstrated that both sample size and study-specific experimental factors play important roles in the model-based reproducibility assessments for different experiments. In summary, a systematic assessment of reproducibility is fundamental and important in the current large-scale high-throughput MRI-based studies.

Item Type: Journal Article
Subjects: Q Science > Q Science (General)
R Medicine > RC Internal medicine
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Reproducible research, Magnetic resonance imaging -- Research
Journal or Publication Title: NeuroImage
Publisher: Elsevier
ISSN: 1053-8119
Official Date: 15 July 2022
Dates:
DateEvent
15 July 2022Published
6 April 2022Available
30 March 2022Accepted
Volume: 255
Article Number: 119166
DOI: 10.1016/j.neuroimage.2022.119166
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
2018YFC1312904Key Technologies Research and Development Programhttp://dx.doi.org/10.13039/501100012165
2019YFA0709502Key Technologies Research and Development Programhttp://dx.doi.org/10.13039/501100012165
2018SHZDZX01Science and Technology Commission of Shanghai Municipalityhttp://dx.doi.org/10.13039/501100003399
UNSPECIFIEDZhejiang Labhttps://www.zhejianglab.com/
UNSPECIFIEDShanghai Center for Brain Science and Brain-Inspired Technologyhttps://www.bsbii.cn/
B18015[MEPRC] Ministry of Education of the People's Republic of Chinahttp://dx.doi.org/10.13039/501100002338
2018YFC1312900Key Technologies Research and Development Programhttp://dx.doi.org/10.13039/501100012165
2019YFA0709501Key Technologies Research and Development Programhttp://dx.doi.org/10.13039/501100012165
91630314[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
81801773[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
LSHM-CT-2007-037286European Commissionhttp://dx.doi.org/10.13039/501100000780
695313[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
PR-ST-0416-10004[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
MR/N027558/1[MRC] Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
785907[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
603016[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
MR/N000390/1[MRC] Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
UNSPECIFIEDSouth London and Maudsley NHS Foundation Trusthttp://dx.doi.org/10.13039/100009362
UNSPECIFIEDKings College Londonhttp://dx.doi.org/10.13039/501100000764
01GS08152Bundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
01EV0711Bundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
01EE1406ABundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
01EE1406BBundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347
SM 80/7–2[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
SFB 940[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
TRR 265[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
NE 1383/14–1[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
MR/R00465X/1Medical Research Foundationhttp://dx.doi.org/10.13039/501100009187
MR/R00465X/1[MRC] Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
MR/S020306/1Medical Research Foundationhttp://dx.doi.org/10.13039/501100009187
MR/S020306/1[MRC] Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
5U54EB020403–05National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
1R56AG058854–01National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
HBP SGA 2European Commissionhttp://dx.doi.org/10.13039/501100000780
AF12-NEUR0008–01[ANR] Agence Nationale de la Recherchehttp://dx.doi.org/10.13039/501100001665
ANR-12-SAMA-0004[ANR] Agence Nationale de la Recherchehttp://dx.doi.org/10.13039/501100001665
UNSPECIFIEDFondation de Francehttp://dx.doi.org/10.13039/501100004431
UNSPECIFIEDFondation pour la Recherche Médicalehttp://dx.doi.org/10.13039/501100002915
UNSPECIFIEDMission Interministérielle de Lutte Contre les Drogues et les Conduites Addictiveshttp://dx.doi.org/10.13039/501100011000
UNSPECIFIEDAssistance Publique - Hôpitaux de Parishttp://dx.doi.org/10.13039/501100002738
Interface grantInstitut national de la santé et de la recherche médicalehttp://dx.doi.org/10.13039/501100001677
IDEX 2012Université Paris-Sudhttp://dx.doi.org/10.13039/501100007486
16/ERCD/3797National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
RO1 MH085772–01A1National Institute of Mental Healthhttp://dx.doi.org/10.13039/100000025
U54 EB020403National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
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