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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Veröffentlicht in:Sleep (New York, N.Y.) N.Y.), 2021-03, Vol.44 (3), p.1, Article 202
Hauptverfasser: 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
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container_title Sleep (New York, N.Y.)
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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
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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 &amp; Biomedicine ; Magnetic Resonance Imaging ; Medical research ; Medicine, Experimental ; Migraine ; Migraine Disorders - diagnostic imaging ; Migraine Disorders - epidemiology ; Neurosciences ; Neurosciences &amp; Neurology ; Science &amp; 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. 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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 &amp; 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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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