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<meta name="DC.Title" content="Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy" />
<meta name="DC.Identifier" content="10.3174/ajnr.A4346" />
<meta name="DC.Date" content="2015-08-01" />
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<meta name="DC.Description" content="BACKGROUND AND PURPOSE: Although most studies on epilepsy have focused on the epileptogenic zone, epilepsy is a system-level disease characterized by aberrant neuronal synchronization among groups of neurons. Increasingly, studies have indicated that mesial temporal lobe epilepsy may be a network-level disease; however, few investigations have examined resting-state functional connectivity of the entire brain, particularly in patients with mesial temporal lobe epilepsy and hippocampal sclerosis. This study primarily investigated whole-brain resting-state functional connectivity abnormality in patients with mesial temporal lobe epilepsy and right hippocampal sclerosis during the interictal period.

MATERIALS AND METHODS: We investigated resting-state functional connectivity of 21 patients with mesial temporal lobe epilepsy with right hippocampal sclerosis and 21 neurologically healthy controls. A multivariate pattern analysis was used to identify the functional connections that most clearly differentiated patients with mesial temporal lobe epilepsy with right hippocampal sclerosis from controls.

RESULTS: Discriminative analysis of functional connections indicated that the patients with mesial temporal lobe epilepsy with right hippocampal sclerosis exhibited decreased resting-state functional connectivity within the right hemisphere and increased resting-state functional connectivity within the left hemisphere. Resting-state network analysis suggested that the internetwork connections typically obey the hemispheric lateralization trend and most of the functional connections that disturb the lateralization trend are the intranetwork ones.

CONCLUSIONS: The current findings suggest that weakening of the resting-state functional connectivity associated with the right hemisphere appears to strengthen resting-state functional connectivity on the contralateral side, which may be related to the seizure-induced damage and underlying compensatory mechanisms. Resting-state network–based analysis indicated that the compensatory mechanism among different resting-state networks may disturb the hemispheric lateralization.

DMN
:   default-mode network
FC
:   functional connectivity or connection
HS
:   hippocampal sclerosis
mTLE
:   mesial temporal lobe epilepsy
R-mTLE
:   mesial temporal lobe epilepsy with right hippocampal sclerosis
RS
:   resting-state
RSN
:   resting-state network
TLE
:   temporal lobe epilepsy" />
<meta name="DC.Contributor" content="L. Su" />
<meta name="DC.Contributor" content="J. An" />
<meta name="DC.Contributor" content="Q. Ma" />
<meta name="DC.Contributor" content="S. Qiu" />
<meta name="DC.Contributor" content="D. Hu" />
<meta name="article:published_time" content="2015-08-01" />
<meta name="article:section" content="Functional" />
<meta name="citation_title" content="Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy" />
<meta name="citation_abstract" lang="en" content="&lt;h3&gt;BACKGROUND AND PURPOSE:&lt;/h3&gt;
&lt;p&gt;Although most studies on epilepsy have focused on the epileptogenic zone, epilepsy is a system-level disease characterized by aberrant neuronal synchronization among groups of neurons. Increasingly, studies have indicated that mesial temporal lobe epilepsy may be a network-level disease; however, few investigations have examined resting-state functional connectivity of the entire brain, particularly in patients with mesial temporal lobe epilepsy and hippocampal sclerosis. This study primarily investigated whole-brain resting-state functional connectivity abnormality in patients with mesial temporal lobe epilepsy and right hippocampal sclerosis during the interictal period.&lt;/p&gt;&lt;h3&gt;MATERIALS AND METHODS:&lt;/h3&gt;
&lt;p&gt;We investigated resting-state functional connectivity of 21 patients with mesial temporal lobe epilepsy with right hippocampal sclerosis and 21 neurologically healthy controls. A multivariate pattern analysis was used to identify the functional connections that most clearly differentiated patients with mesial temporal lobe epilepsy with right hippocampal sclerosis from controls.&lt;/p&gt;&lt;h3&gt;RESULTS:&lt;/h3&gt;
&lt;p&gt;Discriminative analysis of functional connections indicated that the patients with mesial temporal lobe epilepsy with right hippocampal sclerosis exhibited decreased resting-state functional connectivity within the right hemisphere and increased resting-state functional connectivity within the left hemisphere. Resting-state network analysis suggested that the internetwork connections typically obey the hemispheric lateralization trend and most of the functional connections that disturb the lateralization trend are the intranetwork ones.&lt;/p&gt;&lt;h3&gt;CONCLUSIONS:&lt;/h3&gt;
&lt;p&gt;The current findings suggest that weakening of the resting-state functional connectivity associated with the right hemisphere appears to strengthen resting-state functional connectivity on the contralateral side, which may be related to the seizure-induced damage and underlying compensatory mechanisms. Resting-state network–based analysis indicated that the compensatory mechanism among different resting-state networks may disturb the hemispheric lateralization.&lt;/p&gt;" />
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<meta name="citation_author" content="L. Su" />
<meta name="citation_author_institution" content="aFrom the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China" />
<meta name="citation_author_institution" content="cDepartment of Information Engineering (L.S.), Officers College of Chinese Armed Police Force, Chengdu, Sichuan, China." />
<meta name="citation_author" content="J. An" />
<meta name="citation_author_institution" content="bDepartment of Medical Imaging (J.A., S.Q.), First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China" />
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<meta name="citation_author_institution" content="aFrom the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China" />
<meta name="citation_author" content="S. Qiu" />
<meta name="citation_author_institution" content="bDepartment of Medical Imaging (J.A., S.Q.), First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China" />
<meta name="citation_author" content="D. Hu" />
<meta name="citation_author_institution" content="aFrom the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China" />
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<meta name="twitter:title" content="Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Although most studies on epilepsy have focused on the epileptogenic zone, epilepsy is a system-level disease characterized by aberrant neuronal synchronization among groups of neurons. Increasingly, studies have indicated that mesial temporal lobe epilepsy may be a network-level disease; however, few investigations have examined resting-state functional connectivity of the entire brain, particularly in patients with mesial temporal lobe epilepsy and hippocampal sclerosis. This study primarily investigated whole-brain resting-state functional connectivity abnormality in patients with mesial temporal lobe epilepsy and right hippocampal sclerosis during the interictal period.

MATERIALS AND METHODS: We investigated resting-state functional connectivity of 21 patients with mesial temporal lobe epilepsy with right hippocampal sclerosis and 21 neurologically healthy controls. A multivariate pattern analysis was used to identify the functional connections that most clearly differentiated patients with mesial temporal lobe epilepsy with right hippocampal sclerosis from controls.

RESULTS: Discriminative analysis of functional connections indicated that the patients with mesial temporal lobe epilepsy with right hippocampal sclerosis exhibited decreased resting-state functional connectivity within the right hemisphere and increased resting-state functional connectivity within the left hemisphere. Resting-state network analysis suggested that the internetwork connections typically obey the hemispheric lateralization trend and most of the functional connections that disturb the lateralization trend are the intranetwork ones.

CONCLUSIONS: The current findings suggest that weakening of the resting-state functional connectivity associated with the right hemisphere appears to strengthen resting-state functional connectivity on the contralateral side, which may be related to the seizure-induced damage and underlying compensatory mechanisms. Resting-state network–based analysis indicated that the compensatory mechanism among different resting-state networks may disturb the hemispheric lateralization.

DMN
:   default-mode network
FC
:   functional connectivity or connection
HS
:   hippocampal sclerosis
mTLE
:   mesial temporal lobe epilepsy
R-mTLE
:   mesial temporal lobe epilepsy with right hippocampal sclerosis
RS
:   resting-state
RSN
:   resting-state network
TLE
:   temporal lobe epilepsy" />
<meta name="og-title" property="og:title" content="Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/36/8/1479" />
<meta name="og-site-name" property="og:site_name" content="American Journal of Neuroradiology" />
<meta name="og-description" property="og:description" content="BACKGROUND AND PURPOSE: Although most studies on epilepsy have focused on the epileptogenic zone, epilepsy is a system-level disease characterized by aberrant neuronal synchronization among groups of neurons. Increasingly, studies have indicated that mesial temporal lobe epilepsy may be a network-level disease; however, few investigations have examined resting-state functional connectivity of the entire brain, particularly in patients with mesial temporal lobe epilepsy and hippocampal sclerosis. This study primarily investigated whole-brain resting-state functional connectivity abnormality in patients with mesial temporal lobe epilepsy and right hippocampal sclerosis during the interictal period.

MATERIALS AND METHODS: We investigated resting-state functional connectivity of 21 patients with mesial temporal lobe epilepsy with right hippocampal sclerosis and 21 neurologically healthy controls. A multivariate pattern analysis was used to identify the functional connections that most clearly differentiated patients with mesial temporal lobe epilepsy with right hippocampal sclerosis from controls.

RESULTS: Discriminative analysis of functional connections indicated that the patients with mesial temporal lobe epilepsy with right hippocampal sclerosis exhibited decreased resting-state functional connectivity within the right hemisphere and increased resting-state functional connectivity within the left hemisphere. Resting-state network analysis suggested that the internetwork connections typically obey the hemispheric lateralization trend and most of the functional connections that disturb the lateralization trend are the intranetwork ones.

CONCLUSIONS: The current findings suggest that weakening of the resting-state functional connectivity associated with the right hemisphere appears to strengthen resting-state functional connectivity on the contralateral side, which may be related to the seizure-induced damage and underlying compensatory mechanisms. Resting-state network–based analysis indicated that the compensatory mechanism among different resting-state networks may disturb the hemispheric lateralization.

DMN
:   default-mode network
FC
:   functional connectivity or connection
HS
:   hippocampal sclerosis
mTLE
:   mesial temporal lobe epilepsy
R-mTLE
:   mesial temporal lobe epilepsy with right hippocampal sclerosis
RS
:   resting-state
RSN
:   resting-state network
TLE
:   temporal lobe epilepsy" />
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      <h1 class="highwire-cite-title" id="page-title">Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy</h1>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">L. Su</span>, <span class="highwire-citation-author" data-delta="1">J. An</span>, <span class="highwire-citation-author" data-delta="2">Q. Ma</span>, <span class="highwire-citation-author" data-delta="3">S. Qiu</span> and <span class="highwire-citation-author" data-delta="4">D. Hu</span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">August 2015,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">36 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(8) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1479-1487; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A4346 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-14132--6758519316" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">L. Su </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China</div><div class='author-affiliation'><span class='nlm-sup'>c</span>Department of Information Engineering (L.S.), Officers College of Chinese Armed Police Force, Chengdu, Sichuan, China.</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=L.%2BSu%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Su%20L&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3AL.%2BSu%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">J. An </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Department of Medical Imaging (J.A., S.Q.), First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=J.%2BAn%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=An%20J&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3AJ.%2BAn%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-2"><div class="author-tooltip-name">Q. Ma </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=Q.%2BMa%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Ma%20Q&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3AQ.%2BMa%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-3"><div class="author-tooltip-name">S. Qiu </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Department of Medical Imaging (J.A., S.Q.), First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=S.%2BQiu%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Qiu%20S&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3AS.%2BQiu%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-4"><div class="author-tooltip-name">D. Hu </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=D.%2BHu%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Hu%20D&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3AD.%2BHu%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div></div></div>  </div>

  
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      <div class="highwire-cite-title">Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy</div>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">L.</span> <span class="nlm-surname">Su</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">J.</span> <span class="nlm-surname">An</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">Q.</span> <span class="nlm-surname">Ma</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Qiu</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">D.</span> <span class="nlm-surname">Hu</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-oa-ind highwire-cite-metadata"><i class="highwire-oa-indicator"></i> </span><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Aug 2015, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">36 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(8) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1479-1487; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A4346 </span></div>
  
  
  
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      <div class="highwire-cite-title">Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy</div>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">L.</span> <span class="nlm-surname">Su</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">J.</span> <span class="nlm-surname">An</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">Q.</span> <span class="nlm-surname">Ma</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Qiu</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">D.</span> <span class="nlm-surname">Hu</span></span></span></div>
  
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