Modeling Neural Collaboration: Measuring the Odds of Cooperation in the Gyri of Frontal Lobes

Abstract

Event Abstract Back to Event Modeling Neural Collaboration: Measuring the Odds of Cooperation in the Gyri of Frontal Lobes Jeff B. Cromwell1* 1 University of Pittsburgh School of Medicine, Department of Biomedical Informatics, United States The analyses of brain connectivity networks with small-world metrics motivates the use of exponential random graph models (ERGMs) for generating insight into the complex neurobiological interactions for many neurological conditions and disorders. A .NET/R based research tool for neuroinformatics is presented that provides an exploration of which network metrics best characterize brain networks in the Inferior Frontal Gyrus, Middle Frontal Gyrus, and Superior Frontal Gyrus regions of the frontal lobes. Explanatory network metrics such as connectedness, local clustering/Efficiency, Global Efficiency, Degree Distribution and Location are used as predictors for testing significance of these predictors across multiple subjects. ERGMs with the above predictors are estimated with MCMC MLE for each subject and gyri. Model selection and goodness of fit strategies are examined for robustness across subjects. Potential clinical applications exist for ERGMs because they provide the ability to efficiently represent complex brain networks by examining the relationship between global and local brain structure. The results here demonstrate that not only can this tool be effective in modeling brain networks, but can have clinical applications as well. Keywords: Neuroimaging Conference: 4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011. Presentation Type: Poster Presentation Topic: Neuroimaging Citation: Cromwell J (2011). Modeling Neural Collaboration: Measuring the Odds of Cooperation in the Gyri of Frontal Lobes. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2011.08.00078 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: 17 Oct 2011; Published Online: 19 Oct 2011. * Correspondence: Dr. Jeff B. Cromwell, University of Pittsburgh School of Medicine, Department of Biomedical Informatics, Pittsburg, United States, jbcromwell@thecromwellworkshop.com 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 Jeff B. Cromwell Google Jeff B. Cromwell Google Scholar Jeff B. Cromwell PubMed Jeff B. Cromwell Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.