Identifying neuroanatomical signatures in insomnia and migraine comorbidity
Abstract Study Objectives While insomnia and migraine are often comorbid, the shared and distinct neuroanatomical substrates underlying these disorders and the brain structures associated with the comorbidity are unknown. We aimed to identify patterns of neuroanatomical substrate alterations associa...
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creator | Chou, Kun-Hsien Lee, Pei-Lin Liang, Chih-Sung Lee, Jiunn-Tay Kao, Hung-Wen Tsai, Chia-Lin Lin, Guan-Yu Lin, Yu-Kai Lin, Ching-Po Yang, Fu-Chi |
description | Abstract
Study Objectives
While insomnia and migraine are often comorbid, the shared and distinct neuroanatomical substrates underlying these disorders and the brain structures associated with the comorbidity are unknown. We aimed to identify patterns of neuroanatomical substrate alterations associated with migraine and insomnia comorbidity.
Methods
High-resolution T1-weighted images were acquired from subjects with insomnia, migraine, and comorbid migraine and insomnia, respectively, and healthy controls (HC). Direct group comparisons with HC followed by conjunction analyses identified shared regional gray matter volume (GMV) alterations between the disorders. To further examine large-scale anatomical network changes, a seed-based structural covariance network (SCN) analysis was applied. Conjunction analyses also identified common SCN alterations in two disease groups, and we further evaluated these shared regional and global neuroanatomical signatures in the comorbid group.
Results
Compared with controls, patients with migraine and insomnia showed GMV changes in the cerebellum and the lingual, precentral, and postcentral gyri (PCG). The bilateral PCG were common GMV alteration sites in both groups, with decreased structural covariance integrity observed in the cerebellum. In patients with comorbid migraine and insomnia, shared regional GMV and global SCN changes were consistently observed. The GMV of the right PCG also correlated with sleep quality in these patients.
Conclusion
These findings highlight the specific role of the PCG in the shared pathophysiology of insomnia and migraine from a regional and global brain network perspective. These multilevel neuroanatomical changes could be used as potential image markers to decipher the comorbidity of the two disorders. |
doi_str_mv | 10.1093/sleep/zsaa202 |
format | Article |
fullrecord | <record><control><sourceid>gale_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1093_sleep_zsaa202</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A700235362</galeid><oup_id>10.1093/sleep/zsaa202</oup_id><sourcerecordid>A700235362</sourcerecordid><originalsourceid>FETCH-LOGICAL-c460t-7f0370bc8205046c2ba5af9851d1694bc4d64a77934a42e953fcfd0eac801c0e3</originalsourceid><addsrcrecordid>eNqNkd1rFDEUxYNY7Fp99FUGfCnItDdfM5PHslgtFnzR55DJ3CwpM8mazCDbv96su7YogiWB5Ca_czncQ8gbChcUFL_MI-L28j4bw4A9IysqJdSqfD0nK6ANrTsK8pS8zPkOSi0Uf0FOOVOtAtGuyOebAcPs3c6HTRVwSdEEM8fJWzNW2W9KsSTMlQ9l5zgFbyoThmrym2R8wMrGKabeD37evSInzowZXx_PM_Lt-sPX9af69svHm_XVbW1FA3PdOuAt9LZjIEE0lvVGGqc6SQfaKNFbMTTCtK3iwgiGSnJn3QBobAfUAvIzcn7ou03x-4J51pPPFsfRBIxL1kyIpmmpoF1B3_2F3sUlheJOM9lwLhVl7JHamBG1Dy7Oydh9U33VAjAuebOnLv5BlTVgGVcM6Hx5_0NQHwQ2xZwTOr1NfjJppynofXj6V3j6GF7h3x7NLv2EwwP9O60CdAfgB_bRZesxWHzAAGAfbxlSuVG19rOZfQzruIS5SN8_Xfo44bhs_2P6Jxg_xBg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2563359122</pqid></control><display><type>article</type><title>Identifying neuroanatomical signatures in insomnia and migraine comorbidity</title><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Chou, Kun-Hsien ; Lee, Pei-Lin ; Liang, Chih-Sung ; Lee, Jiunn-Tay ; Kao, Hung-Wen ; Tsai, Chia-Lin ; Lin, Guan-Yu ; Lin, Yu-Kai ; Lin, Ching-Po ; Yang, Fu-Chi</creator><creatorcontrib>Chou, Kun-Hsien ; Lee, Pei-Lin ; Liang, Chih-Sung ; Lee, Jiunn-Tay ; Kao, Hung-Wen ; Tsai, Chia-Lin ; Lin, Guan-Yu ; Lin, Yu-Kai ; Lin, Ching-Po ; Yang, Fu-Chi</creatorcontrib><description>Abstract
Study Objectives
While insomnia and migraine are often comorbid, the shared and distinct neuroanatomical substrates underlying these disorders and the brain structures associated with the comorbidity are unknown. We aimed to identify patterns of neuroanatomical substrate alterations associated with migraine and insomnia comorbidity.
Methods
High-resolution T1-weighted images were acquired from subjects with insomnia, migraine, and comorbid migraine and insomnia, respectively, and healthy controls (HC). Direct group comparisons with HC followed by conjunction analyses identified shared regional gray matter volume (GMV) alterations between the disorders. To further examine large-scale anatomical network changes, a seed-based structural covariance network (SCN) analysis was applied. Conjunction analyses also identified common SCN alterations in two disease groups, and we further evaluated these shared regional and global neuroanatomical signatures in the comorbid group.
Results
Compared with controls, patients with migraine and insomnia showed GMV changes in the cerebellum and the lingual, precentral, and postcentral gyri (PCG). The bilateral PCG were common GMV alteration sites in both groups, with decreased structural covariance integrity observed in the cerebellum. In patients with comorbid migraine and insomnia, shared regional GMV and global SCN changes were consistently observed. The GMV of the right PCG also correlated with sleep quality in these patients.
Conclusion
These findings highlight the specific role of the PCG in the shared pathophysiology of insomnia and migraine from a regional and global brain network perspective. These multilevel neuroanatomical changes could be used as potential image markers to decipher the comorbidity of the two disorders.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/zsaa202</identifier><identifier>PMID: 32979047</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Brain ; Brain - diagnostic imaging ; Clinical Neurology ; Comorbidity ; Gray Matter - diagnostic imaging ; Humans ; Insomnia ; Life Sciences & Biomedicine ; Magnetic Resonance Imaging ; Medical research ; Medicine, Experimental ; Migraine ; Migraine Disorders - diagnostic imaging ; Migraine Disorders - epidemiology ; Neurosciences ; Neurosciences & Neurology ; Science & Technology ; Sleep Initiation and Maintenance Disorders - diagnostic imaging ; Sleep Initiation and Maintenance Disorders - epidemiology</subject><ispartof>Sleep (New York, N.Y.), 2021-03, Vol.44 (3), p.1, Article 202</ispartof><rights>Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com. 2020</rights><rights>Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.</rights><rights>COPYRIGHT 2021 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>13</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000649380100019</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c460t-7f0370bc8205046c2ba5af9851d1694bc4d64a77934a42e953fcfd0eac801c0e3</citedby><cites>FETCH-LOGICAL-c460t-7f0370bc8205046c2ba5af9851d1694bc4d64a77934a42e953fcfd0eac801c0e3</cites><orcidid>0000-0003-1138-5586 ; 0000-0001-6831-3634 ; 0000-0001-6848-8776</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,1585,27928,27929</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32979047$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chou, Kun-Hsien</creatorcontrib><creatorcontrib>Lee, Pei-Lin</creatorcontrib><creatorcontrib>Liang, Chih-Sung</creatorcontrib><creatorcontrib>Lee, Jiunn-Tay</creatorcontrib><creatorcontrib>Kao, Hung-Wen</creatorcontrib><creatorcontrib>Tsai, Chia-Lin</creatorcontrib><creatorcontrib>Lin, Guan-Yu</creatorcontrib><creatorcontrib>Lin, Yu-Kai</creatorcontrib><creatorcontrib>Lin, Ching-Po</creatorcontrib><creatorcontrib>Yang, Fu-Chi</creatorcontrib><title>Identifying neuroanatomical signatures in insomnia and migraine comorbidity</title><title>Sleep (New York, N.Y.)</title><addtitle>SLEEP</addtitle><addtitle>Sleep</addtitle><description>Abstract
Study Objectives
While insomnia and migraine are often comorbid, the shared and distinct neuroanatomical substrates underlying these disorders and the brain structures associated with the comorbidity are unknown. We aimed to identify patterns of neuroanatomical substrate alterations associated with migraine and insomnia comorbidity.
Methods
High-resolution T1-weighted images were acquired from subjects with insomnia, migraine, and comorbid migraine and insomnia, respectively, and healthy controls (HC). Direct group comparisons with HC followed by conjunction analyses identified shared regional gray matter volume (GMV) alterations between the disorders. To further examine large-scale anatomical network changes, a seed-based structural covariance network (SCN) analysis was applied. Conjunction analyses also identified common SCN alterations in two disease groups, and we further evaluated these shared regional and global neuroanatomical signatures in the comorbid group.
Results
Compared with controls, patients with migraine and insomnia showed GMV changes in the cerebellum and the lingual, precentral, and postcentral gyri (PCG). The bilateral PCG were common GMV alteration sites in both groups, with decreased structural covariance integrity observed in the cerebellum. In patients with comorbid migraine and insomnia, shared regional GMV and global SCN changes were consistently observed. The GMV of the right PCG also correlated with sleep quality in these patients.
Conclusion
These findings highlight the specific role of the PCG in the shared pathophysiology of insomnia and migraine from a regional and global brain network perspective. These multilevel neuroanatomical changes could be used as potential image markers to decipher the comorbidity of the two disorders.</description><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Clinical Neurology</subject><subject>Comorbidity</subject><subject>Gray Matter - diagnostic imaging</subject><subject>Humans</subject><subject>Insomnia</subject><subject>Life Sciences & Biomedicine</subject><subject>Magnetic Resonance Imaging</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Migraine</subject><subject>Migraine Disorders - diagnostic imaging</subject><subject>Migraine Disorders - epidemiology</subject><subject>Neurosciences</subject><subject>Neurosciences & Neurology</subject><subject>Science & Technology</subject><subject>Sleep Initiation and Maintenance Disorders - diagnostic imaging</subject><subject>Sleep Initiation and Maintenance Disorders - epidemiology</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkd1rFDEUxYNY7Fp99FUGfCnItDdfM5PHslgtFnzR55DJ3CwpM8mazCDbv96su7YogiWB5Ca_czncQ8gbChcUFL_MI-L28j4bw4A9IysqJdSqfD0nK6ANrTsK8pS8zPkOSi0Uf0FOOVOtAtGuyOebAcPs3c6HTRVwSdEEM8fJWzNW2W9KsSTMlQ9l5zgFbyoThmrym2R8wMrGKabeD37evSInzowZXx_PM_Lt-sPX9af69svHm_XVbW1FA3PdOuAt9LZjIEE0lvVGGqc6SQfaKNFbMTTCtK3iwgiGSnJn3QBobAfUAvIzcn7ou03x-4J51pPPFsfRBIxL1kyIpmmpoF1B3_2F3sUlheJOM9lwLhVl7JHamBG1Dy7Oydh9U33VAjAuebOnLv5BlTVgGVcM6Hx5_0NQHwQ2xZwTOr1NfjJppynofXj6V3j6GF7h3x7NLv2EwwP9O60CdAfgB_bRZesxWHzAAGAfbxlSuVG19rOZfQzruIS5SN8_Xfo44bhs_2P6Jxg_xBg</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Chou, Kun-Hsien</creator><creator>Lee, Pei-Lin</creator><creator>Liang, Chih-Sung</creator><creator>Lee, Jiunn-Tay</creator><creator>Kao, Hung-Wen</creator><creator>Tsai, Chia-Lin</creator><creator>Lin, Guan-Yu</creator><creator>Lin, Yu-Kai</creator><creator>Lin, Ching-Po</creator><creator>Yang, Fu-Chi</creator><general>Oxford University Press</general><general>Oxford Univ Press</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1138-5586</orcidid><orcidid>https://orcid.org/0000-0001-6831-3634</orcidid><orcidid>https://orcid.org/0000-0001-6848-8776</orcidid></search><sort><creationdate>20210301</creationdate><title>Identifying neuroanatomical signatures in insomnia and migraine comorbidity</title><author>Chou, Kun-Hsien ; Lee, Pei-Lin ; Liang, Chih-Sung ; Lee, Jiunn-Tay ; Kao, Hung-Wen ; Tsai, Chia-Lin ; Lin, Guan-Yu ; Lin, Yu-Kai ; Lin, Ching-Po ; Yang, Fu-Chi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-7f0370bc8205046c2ba5af9851d1694bc4d64a77934a42e953fcfd0eac801c0e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Clinical Neurology</topic><topic>Comorbidity</topic><topic>Gray Matter - diagnostic imaging</topic><topic>Humans</topic><topic>Insomnia</topic><topic>Life Sciences & Biomedicine</topic><topic>Magnetic Resonance Imaging</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Migraine</topic><topic>Migraine Disorders - diagnostic imaging</topic><topic>Migraine Disorders - epidemiology</topic><topic>Neurosciences</topic><topic>Neurosciences & Neurology</topic><topic>Science & Technology</topic><topic>Sleep Initiation and Maintenance Disorders - diagnostic imaging</topic><topic>Sleep Initiation and Maintenance Disorders - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chou, Kun-Hsien</creatorcontrib><creatorcontrib>Lee, Pei-Lin</creatorcontrib><creatorcontrib>Liang, Chih-Sung</creatorcontrib><creatorcontrib>Lee, Jiunn-Tay</creatorcontrib><creatorcontrib>Kao, Hung-Wen</creatorcontrib><creatorcontrib>Tsai, Chia-Lin</creatorcontrib><creatorcontrib>Lin, Guan-Yu</creatorcontrib><creatorcontrib>Lin, Yu-Kai</creatorcontrib><creatorcontrib>Lin, Ching-Po</creatorcontrib><creatorcontrib>Yang, Fu-Chi</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chou, Kun-Hsien</au><au>Lee, Pei-Lin</au><au>Liang, Chih-Sung</au><au>Lee, Jiunn-Tay</au><au>Kao, Hung-Wen</au><au>Tsai, Chia-Lin</au><au>Lin, Guan-Yu</au><au>Lin, Yu-Kai</au><au>Lin, Ching-Po</au><au>Yang, Fu-Chi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying neuroanatomical signatures in insomnia and migraine comorbidity</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><stitle>SLEEP</stitle><addtitle>Sleep</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>44</volume><issue>3</issue><spage>1</spage><pages>1-</pages><artnum>202</artnum><issn>0161-8105</issn><eissn>1550-9109</eissn><abstract>Abstract
Study Objectives
While insomnia and migraine are often comorbid, the shared and distinct neuroanatomical substrates underlying these disorders and the brain structures associated with the comorbidity are unknown. We aimed to identify patterns of neuroanatomical substrate alterations associated with migraine and insomnia comorbidity.
Methods
High-resolution T1-weighted images were acquired from subjects with insomnia, migraine, and comorbid migraine and insomnia, respectively, and healthy controls (HC). Direct group comparisons with HC followed by conjunction analyses identified shared regional gray matter volume (GMV) alterations between the disorders. To further examine large-scale anatomical network changes, a seed-based structural covariance network (SCN) analysis was applied. Conjunction analyses also identified common SCN alterations in two disease groups, and we further evaluated these shared regional and global neuroanatomical signatures in the comorbid group.
Results
Compared with controls, patients with migraine and insomnia showed GMV changes in the cerebellum and the lingual, precentral, and postcentral gyri (PCG). The bilateral PCG were common GMV alteration sites in both groups, with decreased structural covariance integrity observed in the cerebellum. In patients with comorbid migraine and insomnia, shared regional GMV and global SCN changes were consistently observed. The GMV of the right PCG also correlated with sleep quality in these patients.
Conclusion
These findings highlight the specific role of the PCG in the shared pathophysiology of insomnia and migraine from a regional and global brain network perspective. These multilevel neuroanatomical changes could be used as potential image markers to decipher the comorbidity of the two disorders.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>32979047</pmid><doi>10.1093/sleep/zsaa202</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-1138-5586</orcidid><orcidid>https://orcid.org/0000-0001-6831-3634</orcidid><orcidid>https://orcid.org/0000-0001-6848-8776</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Brain Brain - diagnostic imaging Clinical Neurology Comorbidity Gray Matter - diagnostic imaging Humans Insomnia Life Sciences & Biomedicine Magnetic Resonance Imaging Medical research Medicine, Experimental Migraine Migraine Disorders - diagnostic imaging Migraine Disorders - epidemiology Neurosciences Neurosciences & Neurology Science & Technology Sleep Initiation and Maintenance Disorders - diagnostic imaging Sleep Initiation and Maintenance Disorders - epidemiology |
title | Identifying neuroanatomical signatures in insomnia and migraine comorbidity |
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