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The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

Open access
Pomponio, Raymond, Erus, Guray, Habes, Mohamad, Doshi, Jimit, Srinivasan, Dhivya, Mamourian, Elizabeth, Bashyam, Vishnu, Nasrallah, Ilya M., Satterthwaite, Theodore D., Fan, Yong, Launer, Lenore J., Masters, Colin L., Maruff, Paul, Zhuo, Chuanjun, Völzke, Henry, Johnson, Sterling C., Fripp, Jurgen, Koutsouleris, Nikolaos, Wolf, Daniel H., Gur, Raquel, Gur, Ruben, Morris, John, Albert, Marilyn S., Grabe, Hans J., Resnick, Susan M., Bryan, R. Nick, Wolk, David A., Shinohara, Russell T., Shou, Haochang, Davatzikos, Christos·2020·NeuroImage

Abstract

As medical imaging enters its information era and presents rapidly increasing needs for big data analytics, robust pooling and harmonization of imaging data across diverse cohorts with varying acquisition protocols have become critical. We describe a comprehensive effort that merges and harmonizes a large-scale dataset of 10,477 structural brain MRI scans from participants without a known neurological or psychiatric disorder from 18 different studies that represent geographic diversity. We use this dataset and multi-atlas-based image processing methods to obtain a hierarchical partition of the brain from larger anatomical regions to individual cortical and deep structures and derive age trends of brain structure through the lifespan (3-96 years old). Critically, we present and validate a methodology for harmonizing this pooled dataset in the presence of nonlinear age trends. We provide a web-based visualization interface to generate and present the resulting age trends, enabling future studies of brain structure to compare their data with this reference of brain development and aging, and to examine deviations from ranges, potentially related to disease.

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Metadata

Authors
Pomponio, R., Erus, G., Habes, M., Doshi, J., Srinivasan, D., Mamourian, E., Bashyam, V., Nasrallah, I. M., Satterthwaite, T. D., Fan, Y., Launer, L. J., Masters, C. L., Maruff, P., Zhuo, C., Völzke, H., Johnson, S. C., Fripp, J., Koutsouleris, N., Wolf, D. H., Gur, R., Gur, R., Morris, J., Albert, M. S., Grabe, H. J., Resnick, S. M., Bryan, R. N., Wolk, D. A., Shinohara, R. T., Shou, H., & Davatzikos, C.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2020-03
Volume
208
Pages
116450
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2993515580
Cited by
524
References
15
FWCI
16.42
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. https://app.cochat.ai/papers/10.1016/j.neuroimage.2019.116450
The paper
Pomponio, R., Erus, G., Habes, M., Doshi, J., Srinivasan, D., Mamourian, E., Bashyam, V., Nasrallah, I. M., Satterthwaite, T. D., Fan, Y., Launer, L. J., Masters, C. L., Maruff, P., Zhuo, C., Völzke, H., Johnson, S. C., Fripp, J., Koutsouleris, N., Wolf, D. H., . . . Davatzikos, C. (2020). Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage. https://doi.org/10.1016/j.neuroimage.2019.116450

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.