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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Going beyond the current neuroinformatics infrastructure</title><author><name sortKey="Cheng, Xi" sort="Cheng, Xi" uniqKey="Cheng X" first="Xi" last="Cheng">Xi Cheng</name><affiliation><nlm:aff id="aff1"><institution>Lieber Institute for Brain Development, Johns Hopkins Medical Campus</institution><country>Baltimore, MD, USA</country></nlm:aff></affiliation></author><author><name sortKey="Marcus, Daniel" sort="Marcus, Daniel" uniqKey="Marcus D" first="Daniel" last="Marcus">Daniel Marcus</name><affiliation><nlm:aff id="aff2"><institution>Department of Radiology, Washington University School of Medicine</institution><country>St. Louis, MO, USA</country></nlm:aff></affiliation></author><author><name sortKey="Van Horn, John D" sort="Van Horn, John D" uniqKey="Van Horn J" first="John D." last="Van Horn">John D. Van Horn</name><affiliation><nlm:aff id="aff3"><institution>Laboratory of Neuro Imaging, Department of Neurology, Institute of Neuroimaging and Informatics, University of Southern California</institution><country>Los Angeles, CA, USA</country></nlm:aff></affiliation></author><author><name sortKey="Luo, Qian" sort="Luo, Qian" uniqKey="Luo Q" first="Qian" last="Luo">Qian Luo</name><affiliation><nlm:aff id="aff4"><institution>Center for Military Psychiatry and Neuroscience Research, Walter Reed Army Research Institute</institution><country>Silver Spring, MD, USA</country><xref ref-type="author-notes" rid="fn002"><sup>†</sup></xref></nlm:aff></affiliation></author><author><name sortKey="Mattay, Venkata S" sort="Mattay, Venkata S" uniqKey="Mattay V" first="Venkata S." last="Mattay">Venkata S. Mattay</name><affiliation><nlm:aff id="aff1"><institution>Lieber Institute for Brain Development, Johns Hopkins Medical Campus</institution><country>Baltimore, MD, USA</country></nlm:aff></affiliation></author><author><name sortKey="Weinberger, Daniel R" sort="Weinberger, Daniel R" uniqKey="Weinberger D" first="Daniel R." last="Weinberger">Daniel R. Weinberger</name><affiliation><nlm:aff id="aff1"><institution>Lieber Institute for Brain Development, Johns Hopkins Medical Campus</institution><country>Baltimore, MD, USA</country></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26136680</idno><idno type="pmc">4468376</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4468376</idno><idno type="RBID">PMC:4468376</idno><idno type="doi">10.3389/fninf.2015.00015</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000034</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Going beyond the current neuroinformatics infrastructure</title><author><name sortKey="Cheng, Xi" sort="Cheng, Xi" uniqKey="Cheng X" first="Xi" last="Cheng">Xi Cheng</name><affiliation><nlm:aff id="aff1"><institution>Lieber Institute for Brain Development, Johns Hopkins Medical Campus</institution><country>Baltimore, MD, USA</country></nlm:aff></affiliation></author><author><name sortKey="Marcus, Daniel" sort="Marcus, Daniel" uniqKey="Marcus D" first="Daniel" last="Marcus">Daniel Marcus</name><affiliation><nlm:aff id="aff2"><institution>Department of Radiology, Washington University School of Medicine</institution><country>St. Louis, MO, USA</country></nlm:aff></affiliation></author><author><name sortKey="Van Horn, John D" sort="Van Horn, John D" uniqKey="Van Horn J" first="John D." last="Van Horn">John D. Van Horn</name><affiliation><nlm:aff id="aff3"><institution>Laboratory of Neuro Imaging, Department of Neurology, Institute of Neuroimaging and Informatics, University of Southern California</institution><country>Los Angeles, CA, USA</country></nlm:aff></affiliation></author><author><name sortKey="Luo, Qian" sort="Luo, Qian" uniqKey="Luo Q" first="Qian" last="Luo">Qian Luo</name><affiliation><nlm:aff id="aff4"><institution>Center for Military Psychiatry and Neuroscience Research, Walter Reed Army Research Institute</institution><country>Silver Spring, MD, USA</country><xref ref-type="author-notes" rid="fn002"><sup>†</sup></xref></nlm:aff></affiliation></author><author><name sortKey="Mattay, Venkata S" sort="Mattay, Venkata S" uniqKey="Mattay V" first="Venkata S." last="Mattay">Venkata S. Mattay</name><affiliation><nlm:aff id="aff1"><institution>Lieber Institute for Brain Development, Johns Hopkins Medical Campus</institution><country>Baltimore, MD, USA</country></nlm:aff></affiliation></author><author><name sortKey="Weinberger, Daniel R" sort="Weinberger, Daniel R" uniqKey="Weinberger D" first="Daniel R." last="Weinberger">Daniel R. Weinberger</name><affiliation><nlm:aff id="aff1"><institution>Lieber Institute for Brain Development, Johns Hopkins Medical Campus</institution><country>Baltimore, MD, USA</country></nlm:aff></affiliation></author></analytic><series><title level="j">Frontiers in Neuroinformatics</title><idno type="eISSN">1662-5196</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Andronache, A" uniqKey="Andronache A">A. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Front Neuroinform</journal-id><journal-id journal-id-type="iso-abbrev">Front Neuroinform</journal-id><journal-id journal-id-type="publisher-id">Front. Neuroinform.</journal-id><journal-title-group><journal-title>Frontiers in Neuroinformatics</journal-title></journal-title-group><issn pub-type="epub">1662-5196</issn><publisher><publisher-name>Frontiers Media S.A.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26136680</article-id><article-id pub-id-type="pmc">4468376</article-id><article-id pub-id-type="doi">10.3389/fninf.2015.00015</article-id><article-categories><subj-group subj-group-type="heading"><subject>Neuroscience</subject><subj-group><subject>Editorial</subject></subj-group></subj-group></article-categories><title-group><article-title>Going beyond the current neuroinformatics infrastructure</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Cheng</surname><given-names>Xi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref><uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/4671"></uri></contrib><contrib contrib-type="author"><name><surname>Marcus</surname><given-names>Daniel</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/29867"></uri></contrib><contrib contrib-type="author"><name><surname>Van Horn</surname><given-names>John D.</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/1270"></uri></contrib><contrib contrib-type="author"><name><surname>Luo</surname><given-names>Qian</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/77326"></uri></contrib><contrib contrib-type="author"><name><surname>Mattay</surname><given-names>Venkata S.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/81682"></uri></contrib><contrib contrib-type="author"><name><surname>Weinberger</surname><given-names>Daniel R.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/81603"></uri></contrib></contrib-group><aff id="aff1"><sup>1</sup><institution>Lieber Institute for Brain Development, Johns Hopkins Medical Campus</institution><country>Baltimore, MD, USA</country></aff><aff id="aff2"><sup>2</sup><institution>Department of Radiology, Washington University School of Medicine</institution><country>St. Louis, MO, USA</country></aff><aff id="aff3"><sup>3</sup><institution>Laboratory of Neuro Imaging, Department of Neurology, Institute of Neuroimaging and Informatics, University of Southern California</institution><country>Los Angeles, CA, USA</country></aff><aff id="aff4"><sup>4</sup><institution>Center for Military Psychiatry and Neuroscience Research, Walter Reed Army Research Institute</institution><country>Silver Spring, MD, USA</country><xref ref-type="author-notes" rid="fn002"><sup>†</sup></xref></aff><author-notes><fn fn-type="edited-by"><p>Edited and reviewed by: Daniel Gardner, Weill Cornell Medical College, USA</p></fn><corresp id="fn001">*Correspondence: Xi Cheng, <email xlink:type="simple">chengxi001@gmail.com</email></corresp><fn fn-type="other" id="fn002"><p>†The opinions or assertions contained herein are the private views of the author, and are not to be construed as official, or as reflecting true views of the Department of the Army or the Department of Defense.</p></fn></author-notes><pub-date pub-type="epub"><day>16</day><month>6</month><year>2015</year></pub-date><pub-date pub-type="collection"><year>2015</year></pub-date><volume>9</volume><elocation-id>15</elocation-id><history><date date-type="received"><day>28</day><month>4</month><year>2015</year></date><date date-type="accepted"><day>27</day><month>5</month><year>2015</year></date></history><permissions><copyright-statement>Copyright © 2015 Cheng, Marcus, Van Horn, Luo, Mattay and Weinberger.</copyright-statement><copyright-year>2015</copyright-year><copyright-holder>Cheng, Marcus, Van Horn, Luo, Mattay and Weinberger</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p></license></permissions><kwd-group><kwd>neuroinformatics</kwd><kwd>infrastructure</kwd><kwd>neuroscience</kwd><kwd>informatics</kwd><kwd>data sharing</kwd></kwd-group><counts><fig-count count="0"></fig-count><table-count count="0"></table-count><equation-count count="0"></equation-count><ref-count count="38"></ref-count><page-count count="3"></page-count><word-count count="2187"></word-count></counts></article-meta></front><body><p>The enormous volume of multi-modal neuroimaging data across different neuroscience research communities poses a daunting challenge to traditional methods of data sharing, data archiving, data processing, and data analysis (Van Horn and Toga, <xref rid="B35" ref-type="bibr">2014</xref>).</p><p>Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and data dissemination, but also promote data sharing and collaboration (Cox, <xref rid="B3" ref-type="bibr">1996</xref>; Smith et al., <xref rid="B31" ref-type="bibr">2004</xref>; Friston, <xref rid="B11" ref-type="bibr">2006</xref>; Marcus et al., <xref rid="B22" ref-type="bibr">2007</xref>; Dinov et al., <xref rid="B7" ref-type="bibr">2009</xref>; Van Horn and Toga, <xref rid="B34" ref-type="bibr">2009</xref>) which are essential elements for making progress efficiently in this rapidly burgeoning field.</p><p>The purpose of this special issue is to use case studies of the state-of-art neuroinformatics infrastructure to anticipate and project future generation systems.</p><p>A number of leading research groups from different parts of the world were invited to participate in this research topic. Each of the contributions provided a showcase solution to domain specific challenges we currently face. We will try to review these articles according to the categories of the issues they covered. Some articles covered multiple categories. However, due to the limited space, we only discuss them under one category.</p><p>Articles by Bartsch et al. (<xref rid="B2" ref-type="bibr">2014</xref>), Goscinski et al. (<xref rid="B13" ref-type="bibr">2014</xref>), Haselgrove et al. (<xref rid="B16" ref-type="bibr">2014</xref>), King et al. (<xref rid="B19" ref-type="bibr">2014</xref>), Marenco et al. (<xref rid="B23" ref-type="bibr">2014</xref>), Muehlboeck et al. (<xref rid="B26" ref-type="bibr">2014</xref>), Rane et al. (<xref rid="B27" ref-type="bibr">2014</xref>), Rautenberg et al. (<xref rid="B28" ref-type="bibr">2014</xref>), Sherif et al. (<xref rid="B30" ref-type="bibr">2014</xref>), and Wood et al. (<xref rid="B36" ref-type="bibr">2014</xref>), present solutions for data archiving and related issues including, how to efficiently collect, store, query, visualize and share large volume neuroimaging data. Some of these systems are large in scale, geographically distributed, and already have a large dataset and a well-established user community.</p><p>Beyond neuroimaging, Sobolev et al. (<xref rid="B32" ref-type="bibr">2014</xref>) present a data management platform for neurophysiological data, and Mouček et al. (<xref rid="B25" ref-type="bibr">2014</xref>), and Tripathy et al. (<xref rid="B33" ref-type="bibr">2014</xref>) describe techniques and methodologies for collecting and managing electrophysiological data.</p><p>Once the incoming data have been archived, there are many other important issues that need to be addressed.</p><p>First, how to visualize the data to meet domain-specific needs is still an open-ended research question. Gutman et al. (<xref rid="B14" ref-type="bibr">2014</xref>) present a light framework to visualize DICOM images stored in the Extensible Neuroimaging Archive Toolkit (XNAT). Hänel et al. (<xref rid="B15" ref-type="bibr">2014</xref>) describe an application with two designs for the 3D visualization of the human brain.</p><p>Second, how to efficiently process huge volumes of datasets is challenging especially when bottom-up explorative data analysis becomes more and more popular. Contributions from Andronache et al. (<xref rid="B1" ref-type="bibr">2013</xref>), Da Mota et al. (<xref rid="B4" ref-type="bibr">2014</xref>), Dinov et al. (<xref rid="B6" ref-type="bibr">2014</xref>), Eklund et al. (<xref rid="B8" ref-type="bibr">2014</xref>), Friedel et al. (<xref rid="B10" ref-type="bibr">2014</xref>), and Mahmud et al. (<xref rid="B21" ref-type="bibr">2014</xref>), discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment.</p><p>Third, how to mine the data i.e., how to extract meaningful information from the data, is the most challenging part of all. Liu and Calhoun (<xref rid="B20" ref-type="bibr">2014</xref>) provide a review of multivariate analyses approaches in Imaging Genetics. Goh et al. (<xref rid="B12" ref-type="bibr">2014</xref>) discuss challenges in neuroinformatics of Traumatic Brain Injury neuroimaging analysis in the context of structural, connectivity, and functional paradigms. The manuscript by Miller et al. (<xref rid="B24" ref-type="bibr">2013</xref>) describes novel neuroinformatics technologies at 1 mm anatomical scale based on high-throughput 3D functional and structural imaging technologies of the human brain. Xiang et al. (<xref rid="B37" ref-type="bibr">2014</xref>) explored novel data analysis methodologies and platforms for handling large volumes of neuromagnetic data with a very wide range of temporal frequencies. Kauppi et al. (<xref rid="B18" ref-type="bibr">2014</xref>), introduce a versatile software package for inter-subject correlation based analyses of fMRI data.</p><p>Finally, there are a number of contributions discussing other topics important to the neuroinformatics infrastructure. Zaslavsky et al. (<xref rid="B38" ref-type="bibr">2014</xref>) describe a prototype implementation of digital atlasing infrastructure initiated by the International Neuroinformatics Coordinating Facility (INCF). Herrick et al. (<xref rid="B17" ref-type="bibr">2014</xref>) showcase how to use dictionary service to extend metadata across XNAT database instances. Sarwate et al. (<xref rid="B29" ref-type="bibr">2014</xref>) review the relevant literature on differential privacy, a framework for measuring and tracking privacy loss in these settings, and demonstrate the feasibility of using this framework to calculate statistics on data distributed at many sites while still providing privacy. Das et al. (<xref rid="B5" ref-type="bibr">2014</xref>) report a case study on how to foster discussion and communication by using an open-source content management system. Evans and Polavaram (<xref rid="B9" ref-type="bibr">2013</xref>) provide a general commentary article in the field of computational models of biologically realistic neuronal networks.</p><p>We intend this Special Issue as more than a compendium of current systems. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including: –what are the common challenges the next generation of infrastructure will have to address? –what new technologies will be of maximum benefit? –how will we go beyond the limits of the current generation infrastructure? and –what are the key features next generation infrastructure should implement? Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure. 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