Inferring Functional Interaction and Transition Patterns via Dynamic Bayesian Variable Partition Models
Identifieur interne : 002A74 ( Ncbi/Merge ); précédent : 002A73; suivant : 002A75Inferring Functional Interaction and Transition Patterns via Dynamic Bayesian Variable Partition Models
Auteurs : Jing Zhang [États-Unis] ; Xiang Li [États-Unis] ; Cong Li [États-Unis] ; Zhichao Lian [États-Unis] ; Xiu Huang [États-Unis] ; Guocheng Zhong [États-Unis] ; Dajiang Zhu [États-Unis] ; Kaiming Li [États-Unis] ; Changfeng Jin [République populaire de Chine] ; Xintao Hu ; Junwei Han ; Lei Guo ; Xiaoping Hu [États-Unis] ; Lingjiang Li [République populaire de Chine] ; Tianming Liu [États-Unis]Source :
- Human brain mapping [ 1065-9471 ] ; 2013.
Abstract
Multivariate connectivity and functional dynamics have been of wide interest in the neuroimaging field, and a variety of methods have been developed to study functional interactions and dynamics. In contrast, the temporal dynamic transitions of multivariate functional interactions among brain networks, in particular, in resting state, have been much less explored. This paper presents a novel dynamic Bayesian variable partition model (DBVPM) that simultaneously considers and models multivariate functional interactions and their dynamics via a unified Bayesian framework. The basic idea is to detect the temporal boundaries of piecewise quasi-stable functional interaction patterns, which are then modeled by representative signature patterns and whose temporal transitions are characterized by finite-state transition machines. Results on both simulated and experimental datasets demonstrated the effectiveness and accuracy of the DBVPM in dividing temporally transiting functional interaction patterns. The application of DBVPM on a post-traumatic stress disorder (PTSD) dataset revealed substantially different multivariate functional interaction signatures and temporal transitions in the default mode and emotion networks of PTSD patients, in comparison with those in healthy controls. This result demonstrated the utility of DBVPM in elucidating salient features that cannot be revealed by static pair-wise functional connectivity analysis.
Url:
DOI: 10.1002/hbm.22404
PubMed: 24222313
PubMed Central: 4018439
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<front><div type="abstract" xml:lang="en"><p id="P1">Multivariate connectivity and functional dynamics have been of wide interest in the neuroimaging field, and a variety of methods have been developed to study functional interactions and dynamics. In contrast, the temporal dynamic transitions of multivariate functional interactions among brain networks, in particular, in resting state, have been much less explored. This paper presents a novel dynamic Bayesian variable partition model (DBVPM) that simultaneously considers and models multivariate functional interactions and their dynamics via a unified Bayesian framework. The basic idea is to detect the temporal boundaries of piecewise quasi-stable functional interaction patterns, which are then modeled by representative signature patterns and whose temporal transitions are characterized by finite-state transition machines. Results on both simulated and experimental datasets demonstrated the effectiveness and accuracy of the DBVPM in dividing temporally transiting functional interaction patterns. The application of DBVPM on a post-traumatic stress disorder (PTSD) dataset revealed substantially different multivariate functional interaction signatures and temporal transitions in the default mode and emotion networks of PTSD patients, in comparison with those in healthy controls. This result demonstrated the utility of DBVPM in elucidating salient features that cannot be revealed by static pair-wise functional connectivity analysis.</p>
</div>
</front>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9419065</journal-id>
<journal-id journal-id-type="pubmed-jr-id">21028</journal-id>
<journal-id journal-id-type="nlm-ta">Hum Brain Mapp</journal-id>
<journal-id journal-id-type="iso-abbrev">Hum Brain Mapp</journal-id>
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<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Inferring Functional Interaction and Transition Patterns via Dynamic Bayesian Variable Partition Models</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Zhang</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="corresp" rid="CR1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Xiang</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Cong</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Lian</surname>
<given-names>Zhichao</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Huang</surname>
<given-names>Xiu</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Zhong</surname>
<given-names>Guocheng</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Zhu</surname>
<given-names>Dajiang</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Kaiming</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Jin</surname>
<given-names>Changfeng</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Hu</surname>
<given-names>Xintao</given-names>
</name>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Han</surname>
<given-names>Junwei</given-names>
</name>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Guo</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Hu</surname>
<given-names>Xiaoping</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Lingjiang</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Liu</surname>
<given-names>Tianming</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
<xref ref-type="corresp" rid="CR1">*</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>1</label>
Department of Statistics, Yale University, CT</aff>
<aff id="A2"><label>2</label>
Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA</aff>
<aff id="A3"><label>3</label>
The Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China</aff>
<aff id="A4"><label>4</label>
Biomedical Imaging Technology Center, Emory University, Atlanta, GA</aff>
<aff id="A5"><label>5</label>
School of Automation, Northwestern Polytechnic University.</aff>
<author-notes><corresp id="CR1"><label>*</label>
Joint corresponding authors.</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>19</day>
<month>3</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub"><day>12</day>
<month>11</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="ppub"><month>7</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>01</day>
<month>7</month>
<year>2014</year>
</pub-date>
<volume>35</volume>
<issue>7</issue>
<fpage>3314</fpage>
<lpage>3331</lpage>
<pmc-comment>elocation-id from pubmed: 10.1002/hbm.22404</pmc-comment>
<abstract><p id="P1">Multivariate connectivity and functional dynamics have been of wide interest in the neuroimaging field, and a variety of methods have been developed to study functional interactions and dynamics. In contrast, the temporal dynamic transitions of multivariate functional interactions among brain networks, in particular, in resting state, have been much less explored. This paper presents a novel dynamic Bayesian variable partition model (DBVPM) that simultaneously considers and models multivariate functional interactions and their dynamics via a unified Bayesian framework. The basic idea is to detect the temporal boundaries of piecewise quasi-stable functional interaction patterns, which are then modeled by representative signature patterns and whose temporal transitions are characterized by finite-state transition machines. Results on both simulated and experimental datasets demonstrated the effectiveness and accuracy of the DBVPM in dividing temporally transiting functional interaction patterns. The application of DBVPM on a post-traumatic stress disorder (PTSD) dataset revealed substantially different multivariate functional interaction signatures and temporal transitions in the default mode and emotion networks of PTSD patients, in comparison with those in healthy controls. This result demonstrated the utility of DBVPM in elucidating salient features that cannot be revealed by static pair-wise functional connectivity analysis.</p>
</abstract>
<kwd-group><kwd>functional interaction</kwd>
<kwd>dynamics</kwd>
<kwd>Bayesian graphic models</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>République populaire de Chine</li>
<li>États-Unis</li>
</country>
<region><li>Connecticut</li>
<li>Géorgie (États-Unis)</li>
</region>
</list>
<tree><noCountry><name sortKey="Guo, Lei" sort="Guo, Lei" uniqKey="Guo L" first="Lei" last="Guo">Lei Guo</name>
<name sortKey="Han, Junwei" sort="Han, Junwei" uniqKey="Han J" first="Junwei" last="Han">Junwei Han</name>
<name sortKey="Hu, Xintao" sort="Hu, Xintao" uniqKey="Hu X" first="Xintao" last="Hu">Xintao Hu</name>
</noCountry>
<country name="États-Unis"><region name="Connecticut"><name sortKey="Zhang, Jing" sort="Zhang, Jing" uniqKey="Zhang J" first="Jing" last="Zhang">Jing Zhang</name>
</region>
<name sortKey="Hu, Xiaoping" sort="Hu, Xiaoping" uniqKey="Hu X" first="Xiaoping" last="Hu">Xiaoping Hu</name>
<name sortKey="Huang, Xiu" sort="Huang, Xiu" uniqKey="Huang X" first="Xiu" last="Huang">Xiu Huang</name>
<name sortKey="Li, Cong" sort="Li, Cong" uniqKey="Li C" first="Cong" last="Li">Cong Li</name>
<name sortKey="Li, Kaiming" sort="Li, Kaiming" uniqKey="Li K" first="Kaiming" last="Li">Kaiming Li</name>
<name sortKey="Li, Xiang" sort="Li, Xiang" uniqKey="Li X" first="Xiang" last="Li">Xiang Li</name>
<name sortKey="Lian, Zhichao" sort="Lian, Zhichao" uniqKey="Lian Z" first="Zhichao" last="Lian">Zhichao Lian</name>
<name sortKey="Liu, Tianming" sort="Liu, Tianming" uniqKey="Liu T" first="Tianming" last="Liu">Tianming Liu</name>
<name sortKey="Zhong, Guocheng" sort="Zhong, Guocheng" uniqKey="Zhong G" first="Guocheng" last="Zhong">Guocheng Zhong</name>
<name sortKey="Zhu, Dajiang" sort="Zhu, Dajiang" uniqKey="Zhu D" first="Dajiang" last="Zhu">Dajiang Zhu</name>
</country>
<country name="République populaire de Chine"><noRegion><name sortKey="Jin, Changfeng" sort="Jin, Changfeng" uniqKey="Jin C" first="Changfeng" last="Jin">Changfeng Jin</name>
</noRegion>
<name sortKey="Li, Lingjiang" sort="Li, Lingjiang" uniqKey="Li L" first="Lingjiang" last="Li">Lingjiang Li</name>
</country>
</tree>
</affiliations>
</record>
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