The clinical value of large neuroimaging data sets in Alzheimer's disease.
Identifieur interne : 000033 ( PubMed/Corpus ); précédent : 000032; suivant : 000034The clinical value of large neuroimaging data sets in Alzheimer's disease.
Auteurs : Arthur W. TogaSource :
- Neuroimaging clinics of North America [ 1557-9867 ] ; 2012.
English descriptors
- KwdEn :
- MESH :
- diagnosis : Alzheimer Disease.
- methods : Data Mining, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Neuroimaging.
- organization & administration : Radiology Information Systems.
- Databases, Factual, Humans, User-Computer Interface.
Abstract
Rapid advances in neuroimaging and cyberinfrastructure technologies have brought explosive growth in the Web-based warehousing, availability, and accessibility of imaging data on a variety of neurodegenerative and neuropsychiatric disorders and conditions. There has been a prolific development and emergence of complex computational infrastructures that serve as repositories of databases and provide critical functionalities such as sophisticated image analysis algorithm pipelines and powerful three-dimensional visualization and statistical tools. The statistical and operational advantages of collaborative, distributed team science in the form of multisite consortia push this approach in a diverse range of population-based investigations.
DOI: 10.1016/j.nic.2011.11.008
PubMed: 22284737
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pubmed:22284737Le document en format XML
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Toga</name><affiliation><nlm:affiliation>Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, 635 Charles Young Drive S, Suite 225, Los Angeles, CA 90095-7334, USA. toga@loni.ucla.edu</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="doi">10.1016/j.nic.2011.11.008</idno><idno type="RBID">pubmed:22284737</idno><idno type="pmid">22284737</idno><idno type="wicri:Area/PubMed/Corpus">000033</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">The clinical value of large neuroimaging data sets in Alzheimer's disease.</title><author><name sortKey="Toga, Arthur W" sort="Toga, Arthur W" uniqKey="Toga A" first="Arthur W" last="Toga">Arthur W. Toga</name><affiliation><nlm:affiliation>Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, 635 Charles Young Drive S, Suite 225, Los Angeles, CA 90095-7334, USA. toga@loni.ucla.edu</nlm:affiliation></affiliation></author></analytic><series><title level="j">Neuroimaging clinics of North America</title><idno type="eISSN">1557-9867</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Alzheimer Disease (diagnosis)</term><term>Data Mining (methods)</term><term>Databases, Factual</term><term>Humans</term><term>Image Interpretation, Computer-Assisted (methods)</term><term>Imaging, Three-Dimensional (methods)</term><term>Neuroimaging (methods)</term><term>Radiology Information Systems (organization & administration)</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Alzheimer Disease</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Data Mining</term><term>Image Interpretation, Computer-Assisted</term><term>Imaging, Three-Dimensional</term><term>Neuroimaging</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Radiology Information Systems</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Databases, Factual</term><term>Humans</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Rapid advances in neuroimaging and cyberinfrastructure technologies have brought explosive growth in the Web-based warehousing, availability, and accessibility of imaging data on a variety of neurodegenerative and neuropsychiatric disorders and conditions. There has been a prolific development and emergence of complex computational infrastructures that serve as repositories of databases and provide critical functionalities such as sophisticated image analysis algorithm pipelines and powerful three-dimensional visualization and statistical tools. The statistical and operational advantages of collaborative, distributed team science in the form of multisite consortia push this approach in a diverse range of population-based investigations.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">22284737</PMID><DateCreated><Year>2012</Year><Month>01</Month><Day>30</Day></DateCreated><DateCompleted><Year>2012</Year><Month>05</Month><Day>29</Day></DateCompleted><DateRevised><Year>2015</Year><Month>01</Month><Day>28</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1557-9867</ISSN><JournalIssue CitedMedium="Internet"><Volume>22</Volume><Issue>1</Issue><PubDate><Year>2012</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Neuroimaging clinics of North America</Title><ISOAbbreviation>Neuroimaging Clin. N. Am.</ISOAbbreviation></Journal><ArticleTitle>The clinical value of large neuroimaging data sets in Alzheimer's disease.</ArticleTitle><Pagination><MedlinePgn>107-18, ix</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.nic.2011.11.008</ELocationID><Abstract><AbstractText>Rapid advances in neuroimaging and cyberinfrastructure technologies have brought explosive growth in the Web-based warehousing, availability, and accessibility of imaging data on a variety of neurodegenerative and neuropsychiatric disorders and conditions. There has been a prolific development and emergence of complex computational infrastructures that serve as repositories of databases and provide critical functionalities such as sophisticated image analysis algorithm pipelines and powerful three-dimensional visualization and statistical tools. The statistical and operational advantages of collaborative, distributed team science in the form of multisite consortia push this approach in a diverse range of population-based investigations.</AbstractText><CopyrightInformation>Copyright © 2012 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Toga</LastName><ForeName>Arthur W</ForeName><Initials>AW</Initials><AffiliationInfo><Affiliation>Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, 635 Charles Young Drive S, Suite 225, Los Angeles, CA 90095-7334, USA. toga@loni.ucla.edu</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>P41 RR013642</GrantID><Acronym>RR</Acronym><Agency>NCRR NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>P41 RR013642</GrantID><Acronym>RR</Acronym><Agency>NCRR NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 AG024904</GrantID><Acronym>AG</Acronym><Agency>NIA NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 AG024904</GrantID><Acronym>AG</Acronym><Agency>NIA NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013487">Research Support, U.S. Gov't, P.H.S.</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2011</Year><Month>12</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Neuroimaging Clin N Am</MedlineTA><NlmUniqueID>9211377</NlmUniqueID><ISSNLinking>1052-5149</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Nat Rev Neurosci. 2006 Dec;7(12):952-66</RefSource><PMID Version="1">17115077</PMID></CommentsCorrections><CommentsCorrections 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Feb;1097:183-214</RefSource><PMID Version="1">17413023</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000544">Alzheimer Disease</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000175">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D057225">Data Mining</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D016208">Databases, Factual</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007090">Image Interpretation, Computer-Assisted</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D021621">Imaging, Three-Dimensional</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D059906">Neuroimaging</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011873">Radiology Information Systems</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000458">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D014584">User-Computer Interface</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">NIHMS339112</OtherID><OtherID Source="NLM">PMC3555557</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="aheadofprint"><Year>2011</Year><Month>12</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>1</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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