Decentralized multi-site VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking: A COINSTAC analysis

Harshvardhan Gazula; Bharath Holla; Zuo Zhang; Jiayuan Xu; Eric Verner; Ross Kelly; Gunter Schumann; Vince D. Calhoun

doi:10.1101/846386

Decentralized multi-site VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking: A COINSTAC analysis

Harshvardhan Gazula, Bharath Holla, Zuo Zhang, Jiayuan Xu, Eric Verner, Ross Kelly, Gunter Schumann, Vince D. Calhoun

Research output: Contribution to journal › Article › peer-review

Abstract

In the recent past, there has been an upward trend in developing frameworks that enable neuroimaging researchers to address challenging questions by leveraging data across multiple sites all over the world. One such framework, Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC), provides a platform to analyze neuroimaging data stored locally across multiple organizations without the need for pooling the data at any point during the analysis. In this paper, we perform a decentralized voxel-based morphometry analysis of structural magnetic resonance imaging data across two different sites to understand the structural changes in the brain as linked to age, body mass index and smoking. Results produced by the decentralized analysis are contrasted with similar findings in literature. This work showcases the potential benefits of performing multi-voxel and multivariate analyses of large-scale neuroimaging data located at multiple sites.

Original language	English (US)
Journal	Unknown Journal
DOIs	https://doi.org/10.1101/846386
State	Published - Nov 18 2019
Externally published	Yes

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Agricultural and Biological Sciences(all)
Immunology and Microbiology(all)
Neuroscience(all)
Pharmacology, Toxicology and Pharmaceutics(all)

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Decentralized multi-site VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking : A COINSTAC analysis. / Gazula, Harshvardhan; Holla, Bharath; Zhang, Zuo; Xu, Jiayuan; Verner, Eric; Kelly, Ross; Schumann, Gunter; Calhoun, Vince D.

In: Unknown Journal, 18.11.2019.

Research output: Contribution to journal › Article › peer-review

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abstract = "In the recent past, there has been an upward trend in developing frameworks that enable neuroimaging researchers to address challenging questions by leveraging data across multiple sites all over the world. One such framework, Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC), provides a platform to analyze neuroimaging data stored locally across multiple organizations without the need for pooling the data at any point during the analysis. In this paper, we perform a decentralized voxel-based morphometry analysis of structural magnetic resonance imaging data across two different sites to understand the structural changes in the brain as linked to age, body mass index and smoking. Results produced by the decentralized analysis are contrasted with similar findings in literature. This work showcases the potential benefits of performing multi-voxel and multivariate analyses of large-scale neuroimaging data located at multiple sites.",

author = "Harshvardhan Gazula and Bharath Holla and Zuo Zhang and Jiayuan Xu and Eric Verner and Ross Kelly and Gunter Schumann and Calhoun, {Vince D.}",

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AU - Zhang, Zuo

AU - Xu, Jiayuan

AU - Verner, Eric

AU - Kelly, Ross

AU - Schumann, Gunter

AU - Calhoun, Vince D.

N1 - Publisher Copyright: The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2019/11/18

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