Decentralized multi-site VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking: A COINSTAC analysis
Harshvardhan GazulaiD, Bharath HollaiD, Zuo ZhangiD, Jiayuan XuiD, Eric VerneriD, Ross Kelly, Sanjeev JainiD, Rose Dawn BharathiD, Gareth J. BarkeriD, Debasish BasuiD, Amit Chakrabarti, Kartik KalyanramiD, Kalyanaraman KumaraniD, Lenin Singh, Rebecca KuriyaniD, Pratima MurthyiD, Vivek Benega, Sergey PlisiD, Anand D. SarwateiD, Jessica A. TurneriD, Günter SchumanniD, Vince D. CalhouniD
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.
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