Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder
Aberrant structural (diffusion tensor imaging [DTI]) and resting‐state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We...
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| Veröffentlicht in: | Human brain mapping 2019-08, Vol.40 (12), p.3452-3463 |
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| creator | Zhang, Ruibin Shao, Robin Xu, Guiyun Lu, Weicong Zheng, Wenjing Miao, Qingzhe Chen, Kun Gao, Yanling Bi, Yanan Guan, Lijie McIntyre, Roger S. Deng, Yue Huang, Xuejun So, Kwok‐Fai Lin, Kangguang |
| description | Aberrant structural (diffusion tensor imaging [DTI]) and resting‐state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting‐state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13–28 years, 18 females) and 42 age‐ and gender‐matched healthy controls (age 13–28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich‐club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural–functional coupling strength could serve as a valuable biological trait‐like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse. |
| doi_str_mv | 10.1002/hbm.24608 |
| format | Article |
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However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting‐state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13–28 years, 18 females) and 42 age‐ and gender‐matched healthy controls (age 13–28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich‐club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural–functional coupling strength could serve as a valuable biological trait‐like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse.</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.24608</identifier><identifier>PMID: 31282606</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Adolescent ; Adult ; Age ; Bipolar disorder ; Bipolar Disorder - diagnostic imaging ; Bipolar Disorder - physiopathology ; Brain ; Brain - physiopathology ; Connectome - methods ; Coupling ; Diffusion Tensor Imaging - methods ; Female ; Females ; Humans ; Magnetic resonance ; Magnetic resonance imaging ; Male ; Modularity ; Nerve Net - diagnostic imaging ; Nerve Net - physiopathology ; Neural networks ; Neuroimaging ; predictive analysis ; rich club ; structural–functional coupling ; Structure-function relationships ; Tensors ; Young Adult</subject><ispartof>Human brain mapping, 2019-08, Vol.40 (12), p.3452-3463</ispartof><rights>2019 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4438-2436f9fb4adbea1b64f3ee9efcafd6f41cdb992598bb717e96e04da76434bc273</citedby><cites>FETCH-LOGICAL-c4438-2436f9fb4adbea1b64f3ee9efcafd6f41cdb992598bb717e96e04da76434bc273</cites><orcidid>0000-0003-1766-8237 ; 0000-0003-4027-5554</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865442/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865442/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,27901,27902,45550,45551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31282606$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Ruibin</creatorcontrib><creatorcontrib>Shao, Robin</creatorcontrib><creatorcontrib>Xu, Guiyun</creatorcontrib><creatorcontrib>Lu, Weicong</creatorcontrib><creatorcontrib>Zheng, Wenjing</creatorcontrib><creatorcontrib>Miao, Qingzhe</creatorcontrib><creatorcontrib>Chen, Kun</creatorcontrib><creatorcontrib>Gao, Yanling</creatorcontrib><creatorcontrib>Bi, Yanan</creatorcontrib><creatorcontrib>Guan, Lijie</creatorcontrib><creatorcontrib>McIntyre, Roger S.</creatorcontrib><creatorcontrib>Deng, Yue</creatorcontrib><creatorcontrib>Huang, Xuejun</creatorcontrib><creatorcontrib>So, Kwok‐Fai</creatorcontrib><creatorcontrib>Lin, Kangguang</creatorcontrib><title>Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder</title><title>Human brain mapping</title><addtitle>Hum Brain Mapp</addtitle><description>Aberrant structural (diffusion tensor imaging [DTI]) and resting‐state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting‐state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13–28 years, 18 females) and 42 age‐ and gender‐matched healthy controls (age 13–28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich‐club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural–functional coupling strength could serve as a valuable biological trait‐like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Bipolar disorder</subject><subject>Bipolar Disorder - diagnostic imaging</subject><subject>Bipolar Disorder - physiopathology</subject><subject>Brain</subject><subject>Brain - physiopathology</subject><subject>Connectome - methods</subject><subject>Coupling</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Female</subject><subject>Females</subject><subject>Humans</subject><subject>Magnetic resonance</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Modularity</subject><subject>Nerve Net - diagnostic imaging</subject><subject>Nerve Net - physiopathology</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>predictive analysis</subject><subject>rich club</subject><subject>structural–functional coupling</subject><subject>Structure-function relationships</subject><subject>Tensors</subject><subject>Young Adult</subject><issn>1065-9471</issn><issn>1097-0193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc1qFjEUhoMotlYX3oAMuLGLafM3mclGaEu1QsWNLlyFJHPSL2Um-UwmlW_nPXiHXompU4sKrpJDnjy8nBeh5wQfEYzp8cbMR5QLPDxA-wTLvsVEsoe3d9G1kvdkDz3J-RpjQjpMHqM9RuhABRb76POJgZR0WBqTtA9NXlKxS0l6-vHtuyvBLj4GPTU2hgB1uPHLrg5lO_lw1dQPUJbNbva2MX4bJ52a0eeYRkhP0SOnpwzP7s4D9OnN-cezi_byw9t3ZyeXreWcDS3lTDjpDNejAU2M4I4BSHBWu1E4TuxopKSdHIzpSQ9SAOaj7gVn3FjaswP0evVui5lhtBCWml5tk5912qmovfr7JfiNuoo3Sgyi45xWwas7QYpfCuRFzT5bmCYdIJasKO3YwOqiSUVf_oNex5LqflYK96LveKUOV8qmmHMCdx-GYHVbmKqFqV-FVfbFn-nvyd8NVeB4Bb76CXb_N6mL0_er8icWEqOg</recordid><startdate>20190815</startdate><enddate>20190815</enddate><creator>Zhang, Ruibin</creator><creator>Shao, Robin</creator><creator>Xu, Guiyun</creator><creator>Lu, Weicong</creator><creator>Zheng, Wenjing</creator><creator>Miao, Qingzhe</creator><creator>Chen, Kun</creator><creator>Gao, Yanling</creator><creator>Bi, Yanan</creator><creator>Guan, Lijie</creator><creator>McIntyre, Roger S.</creator><creator>Deng, Yue</creator><creator>Huang, Xuejun</creator><creator>So, Kwok‐Fai</creator><creator>Lin, Kangguang</creator><general>John Wiley & Sons, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1766-8237</orcidid><orcidid>https://orcid.org/0000-0003-4027-5554</orcidid></search><sort><creationdate>20190815</creationdate><title>Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder</title><author>Zhang, Ruibin ; Shao, Robin ; Xu, Guiyun ; Lu, Weicong ; Zheng, Wenjing ; Miao, Qingzhe ; Chen, Kun ; Gao, Yanling ; Bi, Yanan ; Guan, Lijie ; McIntyre, Roger S. ; Deng, Yue ; Huang, Xuejun ; So, Kwok‐Fai ; Lin, Kangguang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4438-2436f9fb4adbea1b64f3ee9efcafd6f41cdb992598bb717e96e04da76434bc273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Bipolar disorder</topic><topic>Bipolar Disorder - diagnostic imaging</topic><topic>Bipolar Disorder - physiopathology</topic><topic>Brain</topic><topic>Brain - physiopathology</topic><topic>Connectome - methods</topic><topic>Coupling</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Female</topic><topic>Females</topic><topic>Humans</topic><topic>Magnetic resonance</topic><topic>Magnetic resonance imaging</topic><topic>Male</topic><topic>Modularity</topic><topic>Nerve Net - diagnostic imaging</topic><topic>Nerve Net - physiopathology</topic><topic>Neural networks</topic><topic>Neuroimaging</topic><topic>predictive analysis</topic><topic>rich club</topic><topic>structural–functional coupling</topic><topic>Structure-function relationships</topic><topic>Tensors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Ruibin</creatorcontrib><creatorcontrib>Shao, Robin</creatorcontrib><creatorcontrib>Xu, Guiyun</creatorcontrib><creatorcontrib>Lu, Weicong</creatorcontrib><creatorcontrib>Zheng, Wenjing</creatorcontrib><creatorcontrib>Miao, Qingzhe</creatorcontrib><creatorcontrib>Chen, Kun</creatorcontrib><creatorcontrib>Gao, Yanling</creatorcontrib><creatorcontrib>Bi, Yanan</creatorcontrib><creatorcontrib>Guan, Lijie</creatorcontrib><creatorcontrib>McIntyre, Roger S.</creatorcontrib><creatorcontrib>Deng, Yue</creatorcontrib><creatorcontrib>Huang, Xuejun</creatorcontrib><creatorcontrib>So, Kwok‐Fai</creatorcontrib><creatorcontrib>Lin, Kangguang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Ruibin</au><au>Shao, Robin</au><au>Xu, Guiyun</au><au>Lu, Weicong</au><au>Zheng, Wenjing</au><au>Miao, Qingzhe</au><au>Chen, Kun</au><au>Gao, Yanling</au><au>Bi, Yanan</au><au>Guan, Lijie</au><au>McIntyre, Roger S.</au><au>Deng, Yue</au><au>Huang, Xuejun</au><au>So, Kwok‐Fai</au><au>Lin, Kangguang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum Brain Mapp</addtitle><date>2019-08-15</date><risdate>2019</risdate><volume>40</volume><issue>12</issue><spage>3452</spage><epage>3463</epage><pages>3452-3463</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>Aberrant structural (diffusion tensor imaging [DTI]) and resting‐state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting‐state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13–28 years, 18 females) and 42 age‐ and gender‐matched healthy controls (age 13–28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich‐club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural–functional coupling strength could serve as a valuable biological trait‐like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>31282606</pmid><doi>10.1002/hbm.24608</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-1766-8237</orcidid><orcidid>https://orcid.org/0000-0003-4027-5554</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Age Bipolar disorder Bipolar Disorder - diagnostic imaging Bipolar Disorder - physiopathology Brain Brain - physiopathology Connectome - methods Coupling Diffusion Tensor Imaging - methods Female Females Humans Magnetic resonance Magnetic resonance imaging Male Modularity Nerve Net - diagnostic imaging Nerve Net - physiopathology Neural networks Neuroimaging predictive analysis rich club structural–functional coupling Structure-function relationships Tensors Young Adult |
| title | Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder |
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