Literature DB >> 12425235

Imaging and the Human Brain Project: a review.

J F Brinkley1, C Rosse.   

Abstract

OBJECTIVES: Survey current work primarily funded by the US Human Brain Project (HBP) that involves substantial use of images. Organize this work around a framework based on the physical organization of the body.
METHODS: Pointers to individual research efforts were obtained through the HBP home page as well as personal contracts from HBP annual meetings. References from these sources were followed to find closely related work. The individual research efforts were then studied and characterized.
RESULTS: The subject of the review is the intersection of neuroinformatics (information about the brain), imaging informatics (information about images), and structural informatics (information about the physical structure of the body). Of the 30 funded projects currently listed on the HBP web site, at least 22 make heavy use of images. These projects are described in terms of broad categories of structural imaging, functional imaging, and image-based brain information systems.
CONCLUSIONS: Understanding the most complex entity known (the brain) gives rise to many interesting and difficult problems in informatics and computer science. Although much progress has been made by HBP and other neuroinformatics researchers, a great many problems remain that will require substantial informatics research efforts. Thus, the HPB can and should be seen as an excellent driving application area for biomedical informatics research.

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Mesh:

Year:  2002        PMID: 12425235

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  10 in total

1.  Server-based approach to web visualization of integrated three-dimensional brain imaging data.

Authors:  Andrew V Poliakov; Evan Albright; Kevin P Hinshaw; David P Corina; George Ojemann; Richard F Martin; James F Brinkley
Journal:  J Am Med Inform Assoc       Date:  2004-11-23       Impact factor: 4.497

2.  Why share data? Lessons learned from the fMRIDC.

Authors:  John Darrell Van Horn; Michael S Gazzaniga
Journal:  Neuroimage       Date:  2012-11-13       Impact factor: 6.556

3.  Autism post-mortem neuroinformatic resource: the autism tissue program (ATP) informatics portal.

Authors:  Michael B Brimacombe; Richard Pickett; Jane Pickett
Journal:  J Autism Dev Disord       Date:  2007-03

4.  Mining the mind research network: a novel framework for exploring large scale, heterogeneous translational neuroscience research data sources.

Authors:  Henry J Bockholt; Mark Scully; William Courtney; Srinivas Rachakonda; Adam Scott; Arvind Caprihan; Jill Fries; Ravi Kalyanam; Judith M Segall; Raul de la Garza; Susan Lane; Vince D Calhoun
Journal:  Front Neuroinform       Date:  2010-04-21       Impact factor: 4.081

5.  Integration of Neuroimaging and Microarray Datasets through Mapping and Model-Theoretic Semantic Decomposition of Unstructured Phenotypes.

Authors:  Spiro P Pantazatos; Jianrong Li; Paul Pavlidis; Yves A Lussier
Journal:  Cancer Inform       Date:  2009-06-08

6.  A prototype symbolic model of canonical functional neuroanatomy of the motor system.

Authors:  Ion-Florin Talos; Daniel L Rubin; Michael Halle; Mark Musen; Ron Kikinis
Journal:  J Biomed Inform       Date:  2007-11-22       Impact factor: 6.317

Review 7.  Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community.

Authors:  B Nolan Nichols; Kilian M Pohl
Journal:  Neuropsychol Rev       Date:  2015-08-13       Impact factor: 7.444

8.  Integration of Neuroimaging and Microarray Datasets through Mapping and Model-Theoretic Semantic Decomposition of Unstructured Phenotypes.

Authors:  Spiro P Pantazatos; Jianrong Li; Paul Pavlidis; Yves A Lussier
Journal:  Summit Transl Bioinform       Date:  2009-03-01

9.  Analysis of impact metrics for the Protein Data Bank.

Authors:  Christopher Markosian; Luigi Di Costanzo; Monica Sekharan; Chenghua Shao; Stephen K Burley; Christine Zardecki
Journal:  Sci Data       Date:  2018-10-16       Impact factor: 6.444

10.  Regional differences in the coupling between resting cerebral blood flow and metabolism may indicate action preparedness as a default state.

Authors:  Ruben C Gur; J Daniel Ragland; Martin Reivich; Joel H Greenberg; Abass Alavi; Raquel E Gur
Journal:  Cereb Cortex       Date:  2008-06-04       Impact factor: 5.357

  10 in total

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