Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available.

Autor: Dadashkarimi J; Computer Science Department, Yale University, New Haven, CT, USA. Electronic address: javid.dadashkarimi@yale.edu., Karbasi A; Computer Science Department, Yale University, New Haven, CT, USA; Department of Electrical Engineering, Yale University, New Haven, CT, USA; Department of Statistics & Data Science, Yale University, New Haven, CT, USA., Liang Q; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Rosenblatt M; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Noble S; Department of Radiology and Biomedical Engineering, Yale University, New Haven, CT, USA., Foster M; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Rodriguez R; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA., Adkinson B; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA., Ye J; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA., Sun H; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Camp C; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA., Farruggia M; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA., Tejavibulya L; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA., Dai W; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Jiang R; Department of Radiology and Biomedical Engineering, Yale University, New Haven, CT, USA., Pollatou A; Developing Brain Institute, Children's National Hospital, Washington DC, USA., Scheinost D; Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Department of Statistics & Data Science, Yale University, New Haven, CT, USA; Child Study Center, Yale School of Medicine, New Haven, CT, USA; Department of Radiology and Biomedical Engineering, Yale University, New Haven, CT, USA.
Jazyk: angličtina
Zdroj: Medical image analysis [Med Image Anal] 2023 Aug; Vol. 88, pp. 102864. Date of Electronic Publication: 2023 Jun 08.
DOI: 10.1016/j.media.2023.102864
Abstrakt: Open-source, publicly available neuroimaging datasets - whether from large-scale data collection efforts or pooled from multiple smaller studies - offer unprecedented sample sizes and promote generalization efforts. Releasing data can democratize science, increase the replicability of findings, and lead to discoveries. Partly due to patient privacy, computational, and data storage concerns, researchers typically release preprocessed data with the voxelwise time series parcellated into a map of predefined regions, known as an atlas. However, releasing preprocessed data also limits the choices available to the end-user. This is especially true for connectomics, as connectomes created from different atlases are not directly comparable. Since there exist several atlases with no gold standards, it is unrealistic to have processed, open-source data available from all atlases. Together, these limitations directly inhibit the potential benefits of open-source neuroimaging data. To address these limitations, we introduce Cross Atlas Remapping via Optimal Transport (CAROT) to find a mapping between two atlases. This approach allows data processed from one atlas to be directly transformed into a connectome based on another atlas without the need for raw data access. To validate CAROT, we compare reconstructed connectomes against their original counterparts (i.e., connectomes generated directly from an atlas), demonstrate the utility of transformed connectomes in downstream analyses, and show how a connectome-based predictive model can generalize to publicly available data that was processed with different atlases. Overall, CAROT can reconstruct connectomes from an extensive set of atlases - without needing the raw data - allowing already processed connectomes to be easily reused in a wide range of analyses while eliminating redundant processing efforts. We share this tool as both source code and as a stand-alone web application (http://carotproject.com/).
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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