Event Abstract Back to Event BRAINSTORM Towards Clinically and Scientifically Useful NeuroImaging Analytics Joshua Vogelstein1*, Sharad Sikka2, Brian Cheung2, Ranjit Khanuja3, Qinyang Li3, Yan Chao-Gan3, Carey Priebe1, Vince Calhoun4, R. Jacob Vogelstein1, Michael Milham3 and Randal Burns1 1 Johns Hopkins University, United States 2 Nathan Klein Institute, United States 3 Child Mind Institute, United States 4 Mind Research Network, United States We desire to transform clinical psychiatric practice to take advantage of the vast technological strides in contemporary neuroimaging. We propose three complementary steps will help facilitate this transformation. First, the construction of a computing platform to store and process large datasets. Second, methods to calibrate measurements across individuals and instruments. Third, tools to convert such measurements into clinically useful analytics. We are developing BRAINSTORM to address these three concerns. First, a high-performance compute cluster and associated scientific database, called "BrainCloud", for storing, managing, and efficiently querying both multi-modal neuroimaging and rich phenotypic data. BrainCloud will be seeded with data already available from the International NeuroImaging Data Initiative [1] as well as the Mind Research Network [2]. Moreover, BrainCloud will include a simple one-click upload interface so that additional research and clinical facilities can contribute to the growing data corpus. Second, a robust pipeline optimized to pre-process multimodal image data to infer multi-modal attributed connectomes (MACs). We are developing a highly configurable pipeline [3] that enables us to search for an optimal representation of data for subsequent inference via non-parametric reliabilities estimates. Third, streaming decision theoretic manifold learning algorithms [4] that yield clinically useful outputs, as well as provide insight into brain/behavior relationships. To date, most statistical and machine learning algorithms natively operate on vector valued data; but our data are far more complex: responses to psychological instruments and multimodal images. We are developing complementary tools that natively operate on non-Euclidean data and "stream", meaning that they continue to learn as new data becomes available. [1] http://fcon_1000.projects.nitrc.org [2] Scott, A et al. Front. NeuroInf., 2011 [3] Sikka, S. Resting-State, 2012 [4] Priebe, CE. arXiv:1112.5510 Keywords: Neuroimaging, Imaging Technologies, data storage, method development, Software Development Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Poster Topic: Neuroinformatics Citation: Vogelstein J, Sikka S, Cheung B, Khanuja R, Li Q, Chao-Gan Y, Priebe C, Calhoun V, Vogelstein R, Milham M and Burns R (2014). BRAINSTORM Towards Clinically and Scientifically Useful NeuroImaging Analytics. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00057 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 Mar 2013; Published Online: 27 Feb 2014. * Correspondence: Dr. Joshua Vogelstein, Johns Hopkins University, Baltimore, United States, jovo@jhu.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Joshua Vogelstein Sharad Sikka Brian Cheung Ranjit Khanuja Qinyang Li Yan Chao-Gan Carey Priebe Vince Calhoun R. Jacob Vogelstein Michael Milham Randal Burns Google Joshua Vogelstein Sharad Sikka Brian Cheung Ranjit Khanuja Qinyang Li Yan Chao-Gan Carey Priebe Vince Calhoun R. Jacob Vogelstein Michael Milham Randal Burns Google Scholar Joshua Vogelstein Sharad Sikka Brian Cheung Ranjit Khanuja Qinyang Li Yan Chao-Gan Carey Priebe Vince Calhoun R. Jacob Vogelstein Michael Milham Randal Burns PubMed Joshua Vogelstein Sharad Sikka Brian Cheung Ranjit Khanuja Qinyang Li Yan Chao-Gan Carey Priebe Vince Calhoun R. 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