Abnormal Thalamo–Cortical Interactions in Overlapping Communities of Migraine: An Edge Functional Connectivity Study

Objective Migraine has been demonstrated to exhibit abnormal functional connectivity of large‐scale brain networks, which is closely associated with its pathophysiology and has not yet been explored by edge functional connectivity. We used an edge‐centric approach combined with motif analysis to eva...

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Veröffentlicht in:Annals of neurology 2023-12, Vol.94 (6), p.1168-1181
Hauptverfasser: Dai, Wei, Qiu, Enchao, Lin, Xiaoxue, Zhang, Shuhua, Zhang, Mingjie, Han, Xun, Jia, Zhihua, Su, Hui, Bian, Xiangbing, Zang, Xiao, Li, Meng, Zhang, Qingkui, Ran, Ye, Gong, Zihua, Wang, Xiaolin, Wang, Rongfei, Tian, Lixia, Dong, Zhao, Yu, Shengyuan
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container_end_page 1181
container_issue 6
container_start_page 1168
container_title Annals of neurology
container_volume 94
creator Dai, Wei
Qiu, Enchao
Lin, Xiaoxue
Zhang, Shuhua
Zhang, Mingjie
Han, Xun
Jia, Zhihua
Su, Hui
Bian, Xiangbing
Zang, Xiao
Li, Meng
Zhang, Qingkui
Ran, Ye
Gong, Zihua
Wang, Xiaolin
Wang, Rongfei
Tian, Lixia
Dong, Zhao
Yu, Shengyuan
description Objective Migraine has been demonstrated to exhibit abnormal functional connectivity of large‐scale brain networks, which is closely associated with its pathophysiology and has not yet been explored by edge functional connectivity. We used an edge‐centric approach combined with motif analysis to evaluate higher‐order communication patterns of brain networks in migraine. Methods We investigated edge‐centric metrics in 108 interictal migraine patients and 71 healthy controls. We parcellated the brain into networks using independent component analysis. We applied edge graph construction, k‐means clustering, community overlap detection, graph‐theory‐based evaluations, and clinical correlation analysis. We conducted motif analysis to explore the interactions among regions, and a classification model to test the specificity of edge‐centric results. Results The normalized entropy of lateral thalamus was significantly increased in migraine, which was positively correlated with the baseline headache duration, and negatively correlated with headache duration reduction following preventive medications at 3‐month follow‐up. Network‐wise entropy of the sensorimotor network was significantly elevated in migraine. The community similarity between lateral thalamus and postcentral gyrus was enhanced in migraine. Migraine patients showed overrepresented L‐shape and diverse motifs, and underrepresented forked motifs with lateral thalamus serving as the reference node. Furthermore, migraine patients presented with overrepresented L‐shape triads, where the postcentral gyrus shared different edges with the lateral thalamus. The classification model showed that entropy of the lateral thalamus had the highest discriminative power, with an area under the curve of 0.86. Interpretation Our findings indicated an abnormal higher‐order thalamo–cortical communication pattern in migraine patients. The thalamo–cortical–somatosensory disturbance of concerted working may potentially lead to aberrant information flow and deficit pain processing of migraine. ANN NEUROL 2023;94:1168–1181
doi_str_mv 10.1002/ana.26783
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We used an edge‐centric approach combined with motif analysis to evaluate higher‐order communication patterns of brain networks in migraine. Methods We investigated edge‐centric metrics in 108 interictal migraine patients and 71 healthy controls. We parcellated the brain into networks using independent component analysis. We applied edge graph construction, k‐means clustering, community overlap detection, graph‐theory‐based evaluations, and clinical correlation analysis. We conducted motif analysis to explore the interactions among regions, and a classification model to test the specificity of edge‐centric results. Results The normalized entropy of lateral thalamus was significantly increased in migraine, which was positively correlated with the baseline headache duration, and negatively correlated with headache duration reduction following preventive medications at 3‐month follow‐up. Network‐wise entropy of the sensorimotor network was significantly elevated in migraine. The community similarity between lateral thalamus and postcentral gyrus was enhanced in migraine. Migraine patients showed overrepresented L‐shape and diverse motifs, and underrepresented forked motifs with lateral thalamus serving as the reference node. Furthermore, migraine patients presented with overrepresented L‐shape triads, where the postcentral gyrus shared different edges with the lateral thalamus. The classification model showed that entropy of the lateral thalamus had the highest discriminative power, with an area under the curve of 0.86. Interpretation Our findings indicated an abnormal higher‐order thalamo–cortical communication pattern in migraine patients. The thalamo–cortical–somatosensory disturbance of concerted working may potentially lead to aberrant information flow and deficit pain processing of migraine. ANN NEUROL 2023;94:1168–1181</description><identifier>ISSN: 0364-5134</identifier><identifier>EISSN: 1531-8249</identifier><identifier>DOI: 10.1002/ana.26783</identifier><identifier>PMID: 37635687</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley &amp; Sons, Inc</publisher><subject>Brain ; Classification ; Clustering ; Correlation analysis ; Entropy ; Headache ; Humans ; Independent component analysis ; Information flow ; Magnetic Resonance Imaging - methods ; Migraine ; Migraine Disorders - diagnostic imaging ; Networks ; Neural networks ; Postcentral gyrus ; Sensorimotor system ; Thalamus ; Thalamus - diagnostic imaging</subject><ispartof>Annals of neurology, 2023-12, Vol.94 (6), p.1168-1181</ispartof><rights>2023 American Neurological Association.</rights><rights>2023 American Neurological Association</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3483-2417245ec7833b7a8b409fdac0d41d9bb097503c2804b5fbb3546caea438fdf3</cites><orcidid>0000-0002-8952-5158 ; 0000-0002-4581-2569 ; 0000-0001-8933-088X ; 0000-0002-7015-2531</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fana.26783$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fana.26783$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37635687$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dai, Wei</creatorcontrib><creatorcontrib>Qiu, Enchao</creatorcontrib><creatorcontrib>Lin, Xiaoxue</creatorcontrib><creatorcontrib>Zhang, Shuhua</creatorcontrib><creatorcontrib>Zhang, Mingjie</creatorcontrib><creatorcontrib>Han, Xun</creatorcontrib><creatorcontrib>Jia, Zhihua</creatorcontrib><creatorcontrib>Su, Hui</creatorcontrib><creatorcontrib>Bian, Xiangbing</creatorcontrib><creatorcontrib>Zang, Xiao</creatorcontrib><creatorcontrib>Li, Meng</creatorcontrib><creatorcontrib>Zhang, Qingkui</creatorcontrib><creatorcontrib>Ran, Ye</creatorcontrib><creatorcontrib>Gong, Zihua</creatorcontrib><creatorcontrib>Wang, Xiaolin</creatorcontrib><creatorcontrib>Wang, Rongfei</creatorcontrib><creatorcontrib>Tian, Lixia</creatorcontrib><creatorcontrib>Dong, Zhao</creatorcontrib><creatorcontrib>Yu, Shengyuan</creatorcontrib><title>Abnormal Thalamo–Cortical Interactions in Overlapping Communities of Migraine: An Edge Functional Connectivity Study</title><title>Annals of neurology</title><addtitle>Ann Neurol</addtitle><description>Objective Migraine has been demonstrated to exhibit abnormal functional connectivity of large‐scale brain networks, which is closely associated with its pathophysiology and has not yet been explored by edge functional connectivity. We used an edge‐centric approach combined with motif analysis to evaluate higher‐order communication patterns of brain networks in migraine. Methods We investigated edge‐centric metrics in 108 interictal migraine patients and 71 healthy controls. We parcellated the brain into networks using independent component analysis. We applied edge graph construction, k‐means clustering, community overlap detection, graph‐theory‐based evaluations, and clinical correlation analysis. We conducted motif analysis to explore the interactions among regions, and a classification model to test the specificity of edge‐centric results. Results The normalized entropy of lateral thalamus was significantly increased in migraine, which was positively correlated with the baseline headache duration, and negatively correlated with headache duration reduction following preventive medications at 3‐month follow‐up. Network‐wise entropy of the sensorimotor network was significantly elevated in migraine. The community similarity between lateral thalamus and postcentral gyrus was enhanced in migraine. Migraine patients showed overrepresented L‐shape and diverse motifs, and underrepresented forked motifs with lateral thalamus serving as the reference node. Furthermore, migraine patients presented with overrepresented L‐shape triads, where the postcentral gyrus shared different edges with the lateral thalamus. The classification model showed that entropy of the lateral thalamus had the highest discriminative power, with an area under the curve of 0.86. Interpretation Our findings indicated an abnormal higher‐order thalamo–cortical communication pattern in migraine patients. The thalamo–cortical–somatosensory disturbance of concerted working may potentially lead to aberrant information flow and deficit pain processing of migraine. 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We used an edge‐centric approach combined with motif analysis to evaluate higher‐order communication patterns of brain networks in migraine. Methods We investigated edge‐centric metrics in 108 interictal migraine patients and 71 healthy controls. We parcellated the brain into networks using independent component analysis. We applied edge graph construction, k‐means clustering, community overlap detection, graph‐theory‐based evaluations, and clinical correlation analysis. We conducted motif analysis to explore the interactions among regions, and a classification model to test the specificity of edge‐centric results. Results The normalized entropy of lateral thalamus was significantly increased in migraine, which was positively correlated with the baseline headache duration, and negatively correlated with headache duration reduction following preventive medications at 3‐month follow‐up. Network‐wise entropy of the sensorimotor network was significantly elevated in migraine. The community similarity between lateral thalamus and postcentral gyrus was enhanced in migraine. Migraine patients showed overrepresented L‐shape and diverse motifs, and underrepresented forked motifs with lateral thalamus serving as the reference node. Furthermore, migraine patients presented with overrepresented L‐shape triads, where the postcentral gyrus shared different edges with the lateral thalamus. The classification model showed that entropy of the lateral thalamus had the highest discriminative power, with an area under the curve of 0.86. Interpretation Our findings indicated an abnormal higher‐order thalamo–cortical communication pattern in migraine patients. The thalamo–cortical–somatosensory disturbance of concerted working may potentially lead to aberrant information flow and deficit pain processing of migraine. 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subjects Brain
Classification
Clustering
Correlation analysis
Entropy
Headache
Humans
Independent component analysis
Information flow
Magnetic Resonance Imaging - methods
Migraine
Migraine Disorders - diagnostic imaging
Networks
Neural networks
Postcentral gyrus
Sensorimotor system
Thalamus
Thalamus - diagnostic imaging
title Abnormal Thalamo–Cortical Interactions in Overlapping Communities of Migraine: An Edge Functional Connectivity Study
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