A Neuroinformatics Framework For Linking Genetic and Neuroimaging Data

Abstract

Event Abstract Back to Event A Neuroinformatics Framework For Linking Genetic and Neuroimaging Data Timothy O'Keefe1*, Victor Petrov1, Randy Buckner1 and Gabriele Fariello1 1 Harvard University, Center for Brain Science, United States A Neuroinformatics Framework For Linking Genetic and Neuroimaging Data Timothy M. O’Keefe1, Victor I. Petrov2, Randy L. Buckner1,2,3 and Gabriele R. Fariello1,2 1. Harvard University, Center for Brain Science 2. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital 3. Howard Hughes Medical Institute An informatics challenge has emerged at the intersection of genetics and human brain imaging research. The cause of this challenge is situated in that each modality is data intensive and requires significant processing to derive useful information. Discovering links between modalities necessitates a system for capturing and vetting data, deriving measures, and linking derived data types. In large-scale projects, there exists a further need to collect and share data between institutions and computational environments. To address these challenges, we have developed a neuroinformatics framework. The framework offers a system that is capable of automatically processing acquired data and provides access to the raw, quality control, computationally derived, and summary data. The framework is built upon a custom installation of the eXtensible Neuroimaging Archive Toolkit (XNAT; Marcus et al. 2007), advancements in MRI data acquisition methods, automated processing pipelines, online cognitive, personality and behavioral assessments, and programmatic APIs for data retrieval and subsequent processing. To illustrate the utility of this approach, the framework has been utilized over the past two years to power the Brain Genomics Superstruct Project as an installation known as “GSPCentral”. GSPCentral has since succeeded in capturing neuroimaging (e.g., fMRI, anatomical), genetics, cognitive (e.g., WAIS III, WMS III), behavioral (e.g., STAI-T, POMS), and derived imaging data (e.g., Morphometry, Functional Connectivity) for approximately 3000 human participants acquired across 20 investigators and 5 matched MRI scanners. This large sample has already enabled researchers to explore aspects of neuroanatomy, behavior, and cognition including revealing the relations between brain structure and personality traits (e.g., anxiety), exposing the organization of large-scale networks, and quantifying the hemispheric asymmetry of functional networks. The challenges of the approach will be discussed as well as how these derived brain and behavioral measures are being linked to genetic information. Keywords: computational neuroscience, General neuroinformatics Conference: 4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011. Presentation Type: Poster Presentation Topic: General neuroinformatics Citation: O'Keefe T, Petrov V, Buckner R and Fariello G (2011). A Neuroinformatics Framework For Linking Genetic and Neuroimaging Data. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2011.08.00008 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. Timothy O'Keefe, Harvard University, Center for Brain Science, Cambridge, United States, timothy_okeefe@harvard.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 Timothy O'Keefe Victor Petrov Randy Buckner Gabriele Fariello Google Timothy O'Keefe Victor Petrov Randy Buckner Gabriele Fariello Google Scholar Timothy O'Keefe Victor Petrov Randy Buckner Gabriele Fariello PubMed Timothy O'Keefe Victor Petrov Randy Buckner Gabriele Fariello 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.