1
|
Xu WJ, Barisano G, Phung D, Chou B, Pinto SN, Lerner A, Sheikh-Bahaei N. Structural MRI in Migraine: A Review of Migraine Vascular and Structural Changes in Brain Parenchyma. J Cent Nerv Syst Dis 2023; 15:11795735231167868. [PMID: 37077432 PMCID: PMC10108417 DOI: 10.1177/11795735231167868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 03/15/2023] [Indexed: 04/21/2023] Open
Abstract
Migraine is a complex and common disorder that affects patients around the world. Despite recent advances in this field, the exact pathophysiology of migraine is still not completely understood. Structural MRI sequences have revealed a variety of changes to brain parenchyma associated with migraine, including white matter lesions, volume changes, and iron deposition. This Review highlights different structural imaging findings in various types of migraine and their relationship to migraine characteristics and subtypes in order to improve our understanding of migraine, its pathophysiologic mechanisms, and how to better diagnose and treat it.
Collapse
Affiliation(s)
- Wilson J Xu
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Daniel Phung
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendon Chou
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Alexander Lerner
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Nasim Sheikh-Bahaei
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Nasim Sheikh-Bahaei, Keck School of Medicine, University of Southern California, 1520 San Pablo St, Lower Level Imaging L1451, Los Angeles, CA 90033, USA.
| |
Collapse
|
2
|
Zhang X, Zhou J, Guo M, Cheng S, Chen Y, Jiang N, Li X, Hu S, Tian Z, Li Z, Zeng F. A systematic review and meta-analysis of voxel-based morphometric studies of migraine. J Neurol 2023; 270:152-170. [PMID: 36098838 DOI: 10.1007/s00415-022-11363-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 01/07/2023]
Abstract
OBJECTIVES To comprehensively summarize and meta-analyze the concurrence across voxel-based morphometric (VBM) neuroimaging studies of migraine. METHODS Neuroimaging studies published from origin to August 1, 2021 were searched in six databases including PubMed, Web of Science, Excerpta Medica Database (EMBASE), China National Knowledge Infrastructure (CNKI), Wanfang Database, and Chongqing VIP. Study selection, quality assessment, and data extraction were conducted by two independent researchers. Anisotropic effect size-signed differential mapping (AES-SDM) and activation likelihood estimation (ALE) were used to perform the meta-analysis of available studies reporting whole-brain gray matter (GM) structural data in migraine patients. Clinical variables correlation analysis and migraine subgroup analysis were also conducted. RESULTS 40 articles were included after the strict screening, containing 1616 migraine patients and 1681 matched healthy subjects (HS) in total. Using the method of AES-SDM, migraine patients showed GM increase in the bilateral amygdala, the bilateral parahippocampus, the bilateral temporal poles, the bilateral superior temporal gyri, the left hippocampus, the right superior frontal gyrus, and the left middle temporal gyrus, as well as GM decrease in the left insula, the bilateral cerebellum (hemispheric lobule IX), the right dorsal medulla, the bilateral rolandic operculum, the right middle frontal gyrus, and the right inferior parietal gyrus. Using the method of ALE, migraine patients showed GM increase in the left parahippocampus and GM decrease in the left insula. The results of correlation analysis showed that many of these brain regions were associated with migraine headache frequency and migraine disease duration. Migraine patients in different subtypes (such as migraine without aura (MwoA), migraine with aura (MwA), episodic migraine (EM), chronic migraine (CM), vestibular migraine (VM), etc.), and in different periods (in the ictal and interictal periods) presented not entirely consistent GM alterations. CONCLUSION Migraine patients have GM alterations in multiple brain regions associated with sensation, affection, cognition, and descending modulation aspects of pain. These changes might be a consequence of repeated migraine attacks. Further studies are required to determine how these GM changes can be used to diagnose, monitor disease progression, or exploit potential therapeutic interventions for migraine patients.
Collapse
Affiliation(s)
- Xinyue Zhang
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Jun Zhou
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Mengyuan Guo
- Institute College of Integrative Medicine, Dalian Medical University, Dalian, Liaoning, China
| | - Shirui Cheng
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Yilin Chen
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Nannan Jiang
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Xinling Li
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Shengjie Hu
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Zilei Tian
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Zhengjie Li
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. .,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
| | - Fang Zeng
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. .,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
| |
Collapse
|
3
|
Suzuki S, Suzuki K, Shiina T, Kobayashi S, Hirata K. Can calcitonin gene-related peptide monoclonal antibody improve migraine and restless legs syndrome? J Neurol Sci 2022; 443:120462. [PMID: 36306631 DOI: 10.1016/j.jns.2022.120462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND A significant association between migraine and restless legs syndrome (RLS) has been reported, and their coexistence is not uncommon. We report a patient with concomitant migraine and RLS who showed improvement of both migraine and RLS symptoms after treatment with galcanezumab, a calcitonin gene-related peptide (CGRP) monoclonal antibody. CASE PRESENTATION A 47-year-old woman had been treated in our outpatient headache clinic for migraine without aura. She had RLS since childhood and had been treated with dopamine agonists and α2δ ligands. Over the past 2 months, the patient suffered from frequent migraine headaches and worsening RLS symptoms, despite ongoing treatment. Therefore, galcanezumab was started. After 1 month, the number of headache days decreased from 20 to 4, and her score on the International RLS Study Group Rating Scale improved from 38 to 10. Her photo/phono/osmo-phobia were also markedly improved. The efficacy of galcanezumab for both headache and RLS was sustained over 5 months. CONCLUSION We report a case of improvement of both migraine and RLS after treatment with CGRP monoclonal antibody. Additional studies are needed to clarify how CGRP antagonism affects RLS symptoms in patients with migraine and RLS comorbidity.
Collapse
Affiliation(s)
- Shiho Suzuki
- Department of Neurology, Dokkyo Medical University, Japan
| | - Keisuke Suzuki
- Department of Neurology, Dokkyo Medical University, Japan.
| | | | - Saro Kobayashi
- Department of Neurology, Dokkyo Medical University, Japan
| | - Koichi Hirata
- Department of Neurology, Dokkyo Medical University, Japan
| |
Collapse
|
4
|
Wang M, Tutt JO, Dorricott NO, Parker KL, Russo AF, Sowers LP. Involvement of the cerebellum in migraine. Front Syst Neurosci 2022; 16:984406. [PMID: 36313527 PMCID: PMC9608746 DOI: 10.3389/fnsys.2022.984406] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 09/27/2022] [Indexed: 11/14/2022] Open
Abstract
Migraine is a disabling neurological disease characterized by moderate or severe headaches and accompanied by sensory abnormalities, e.g., photophobia, allodynia, and vertigo. It affects approximately 15% of people worldwide. Despite advancements in current migraine therapeutics, mechanisms underlying migraine remain elusive. Within the central nervous system, studies have hinted that the cerebellum may play an important sensory integrative role in migraine. More specifically, the cerebellum has been proposed to modulate pain processing, and imaging studies have revealed cerebellar alterations in migraine patients. This review aims to summarize the clinical and preclinical studies that link the cerebellum to migraine. We will first discuss cerebellar roles in pain modulation, including cerebellar neuronal connections with pain-related brain regions. Next, we will review cerebellar symptoms and cerebellar imaging data in migraine patients. Lastly, we will highlight the possible roles of the neuropeptide calcitonin gene-related peptide (CGRP) in migraine symptoms, including preclinical cerebellar studies in animal models of migraine.
Collapse
Affiliation(s)
- Mengya Wang
- Department of Neuroscience and Pharmacology, University of Iowa, Iowa City, IA, United States
| | - Joseph O. Tutt
- Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
| | | | - Krystal L. Parker
- Department of Psychiatry, University of Iowa, Iowa City, IA, United States
| | - Andrew F. Russo
- Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, IA, United States,Department of Neurology, University of Iowa, Iowa City, IA, United States,Center for the Prevention and Treatment of Visual Loss, Veterans Administration Health Center, Iowa City, IA, United States
| | - Levi P. Sowers
- Center for the Prevention and Treatment of Visual Loss, Veterans Administration Health Center, Iowa City, IA, United States,Department of Pediatrics, University of Iowa, Iowa City, IA, United States,*Correspondence: Levi P. Sowers
| |
Collapse
|
5
|
Zang QL, Zheng JH, Ma JJ, Zhang Q, Huang PP, Shen NN, Miao W. Neuroanatomy and Functional Connectivity in Patients with Parkinson's Disease with or without Restless Legs Syndrome. Neurol Ther 2022; 11:1625-1636. [PMID: 35999489 DOI: 10.1007/s40120-022-00397-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/08/2022] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Restless legs syndrome (RLS) is a common non-motor symptom in Parkinson's disease (PD), but its pathogenesis remains unclear. This study aimed to explore the potential neural substrates of RLS in a large sample of patients with PD. METHODS A total of 42 patients with PD with RLS and 124 patients with PD without RLS were prospectively recruited at our hospital between February 2019 and October 2020 and underwent structural and resting-state functional magnetic resonance imaging. Differences between the two patient groups were assessed using voxel-based morphometry and functional connectivity analysis. PD duration, Part III of the Movement Disorder Society's Unified Parkinson's Disease Rating Scale (MDS-UPDRS-III) score, and levodopa equivalent daily dose were treated as covariates. RESULTS Patients with PD with RLS had significantly larger gray matter volume in the bilateral posterior cingulate cortex than patients with PD without RLS (FDR-adjusted P < 0.05). Compared to patients without RLS, those with RLS had significantly lower functional connectivity between the left central opercular cortex and the bilateral precentral gyri and postcentral gyri (FDR-adjusted P < 0.001). CONCLUSION Our study provides the first evidence that in patients with PD, RLS is associated with significantly larger gray matter volume in the posterior cingulate cortex and lower resting-state functional connectivity within the sensorimotor network. Our results may help clarify the pathophysiology of RLS in PD and identify possible therapeutic targets.
Collapse
Affiliation(s)
- Qiu Ling Zang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, 1 Jian She East Road, Zhengzhou, 450007, Henan Province, People's Republic of China
| | - Jin Hua Zheng
- Department of Neurology, Henan Provincial People's Hospital, No. 7, Weiwu Road, Zhengzhou, 450003, Henan Province, People's Republic of China
| | - Jian Jun Ma
- Department of Neurology, Henan Provincial People's Hospital, No. 7, Weiwu Road, Zhengzhou, 450003, Henan Province, People's Republic of China.
| | - Qi Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, 1 Jian She East Road, Zhengzhou, 450007, Henan Province, People's Republic of China
| | - Pei Pei Huang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, 1 Jian She East Road, Zhengzhou, 450007, Henan Province, People's Republic of China
| | - Nan Nan Shen
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, 1 Jian She East Road, Zhengzhou, 450007, Henan Province, People's Republic of China
| | - Wang Miao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, 1 Jian She East Road, Zhengzhou, 450007, Henan Province, People's Republic of China.
| |
Collapse
|
6
|
Mail Gurkan Z, Tantik Pak A, Nacar Dogan S, Sengul Y. Microstructural changes of basal ganglia in migraine with restless legs syndrome: findings from a neuroimaging study. Sleep Biol Rhythms 2022; 20:361-369. [PMID: 38469422 PMCID: PMC10899932 DOI: 10.1007/s41105-022-00376-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 02/01/2022] [Indexed: 01/18/2023]
Abstract
In this study, it is planned to investigate the integrity of the basal ganglia structures in migraineurs with restless legs syndrome (RLS) to explore this relationship. In this study, 58 patients who were diagnosed migraine and 51 healthy controls (HCs) were included. Patients diagnosed with migraine were divided into two groups: Group I (migraine without RLS) and Group II (migraine with RLS). The integrity of basal ganglia was evaluated with region of interest diffusion tensor imaging method which allows us to assess microstructural changes of the tissue. The mean age of the patients was 35.98 ± 7.92 years, and the mean age of the HCs was 33.84 ± 11.06. 84.5% (n = 49) of the patients were female and 15.5% (n = 9) were male. 82.4% (n = 42) of the HCs were female, 17.6% (n = 9) were male. The number of the patients without RLS was 41 (Group I), and the number of the patients with RLS was 17 (Group II). When basal ganglia structures were compared between groups of the patients with and without RLS, the fractional anisotropy (FA) value of the left putamen differed (Group I: 0.30 ± 0.06 vs. Group II: 0.25 ± 0.7, p = 0.01). The significant relationship was found attack frequency and presence of RLS with left putamen FA values according to multiple regression analysis. It was determined in this study that the changes in the microstructure of putamen, one of the basal ganglia structures, may be associated with the presence of RLS in migraineurs.
Collapse
Affiliation(s)
- Zahide Mail Gurkan
- Neurology Department of Gaziosmanpasa Training and Research Hospital, Gaziosmanpasa, Istanbul, Turkey
| | - Aygul Tantik Pak
- Neurology Department of Gaziosmanpasa Training and Research Hospital, Gaziosmanpasa, Istanbul, Turkey
| | - Sebahat Nacar Dogan
- Radiology Department of Gaziosmanpasa Training and Research Hospital, Gaziosmanpasa, Istanbul, Turkey
| | - Yıldızhan Sengul
- Neurology Department of Gaziosmanpasa Training and Research Hospital, Gaziosmanpasa, Istanbul, Turkey
| |
Collapse
|
7
|
Zhe X, Zhang X, Chen L, Zhang L, Tang M, Zhang D, Li L, Lei X, Jin C. Altered Gray Matter Volume and Functional Connectivity in Patients With Vestibular Migraine. Front Neurosci 2021; 15:683802. [PMID: 34305518 PMCID: PMC8297163 DOI: 10.3389/fnins.2021.683802] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 05/21/2021] [Indexed: 01/03/2023] Open
Abstract
Subjects Vestibular migraine (VM) is the most common neurological cause of vertigo in adults. Previous neuroimaging studies have reported structural alterations in areas associated with pain and vestibular processing. However, it is unclear whether altered resting-state functional connectivity (FC) exists in brain regions with structural abnormalities in patients with VM. Methods Resting-state functional magnetic resonance imaging (MRI) and three-dimensional T1-weighed MRI were performed in 30 patients with VM and 30 healthy controls (HCs). Patients underwent an evaluation of migraine and dizziness severity. FC and voxel-based morphometry (VBM) were performed using DPABI 4.3 and CAT12, respectively. The association between changes in gray matter (GM) volume or FC and clinical parameters was also analyzed. Results Compared with HCs, patients with VM demonstrated a reduced GM volume in the bilateral parietoinsular vestibular cortex (PIVC), right middle frontal gyrus, and precuneus. The GM volume of the left PIVC was negatively associated with Dizziness Handicap Inventory score in patients with VM. Taking this region as a seed region, we further observed increased FC between the left primary somatosensory cortex (S1)/inferior parietal lobule (IPL) and the left PIVC in patients with VM. Conclusion FC between regions with a decline in GM volume (the PIVC and S1/IPL) is altered in patients with VM, suggesting that abnormalities in vestibular cortical network could be useful for understanding the underlying mechanisms of VM.
Collapse
Affiliation(s)
- Xia Zhe
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Xiaoling Zhang
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Li Chen
- Department of Neurology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Li Zhang
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Min Tang
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Dongsheng Zhang
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Longchao Li
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Xiaoyan Lei
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Chenwang Jin
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| |
Collapse
|
8
|
Chou KH, Lee PL, Liang CS, Lee JT, Kao HW, Tsai CL, Lin GY, Lin YK, Lin CP, Yang FC. Identifying neuroanatomical signatures in insomnia and migraine comorbidity. Sleep 2021; 44:5911972. [PMID: 32979047 DOI: 10.1093/sleep/zsaa202] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 08/26/2020] [Indexed: 01/03/2023] Open
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.
Collapse
Affiliation(s)
- Kun-Hsien Chou
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan
| | - Pei-Lin Lee
- Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Hung-Wen Kao
- Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chia-Lin Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Guan-Yu Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Yu-Kai Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Ching-Po Lin
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan.,Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Fu-Chi Yang
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| |
Collapse
|
9
|
Sheng L, Zhao P, Ma H, Qi L, Yi Z, Shi Y, Zhong J, Shi H, Dai Z, Pan P. Grey matter alterations in restless legs syndrome: A coordinate-based meta-analysis. J Sleep Res 2021; 30:e13298. [PMID: 33554365 DOI: 10.1111/jsr.13298] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 01/14/2021] [Accepted: 01/15/2021] [Indexed: 01/18/2023]
Abstract
Brain structural abnormalities in idiopathic restless legs syndrome have long been debated. Voxel-based morphometry is an objective structural magnetic resonance imaging technique to investigate regional grey matter volume or density differences between groups. In the last decade, voxel-based morphometry studies have exhibited inconsistent and conflicting findings regarding the presence and localization of brain grey matter alterations in restless legs syndrome. We therefore conducted a coordinate-based meta-analysis to quantitatively examine whether there were consistent grey matter findings in restless legs syndrome using the latest algorithms, seed-based d mapping with permutation of subject images. We included 12 voxel-based morphometry studies (13 datasets, 375 patients and 385 healthy controls). Our coordinate-based meta-analysis did not identify evidence of consistent grey matter alterations in restless legs syndrome. Grey matter alterations via voxel-based morphometry analysis are not therefore recommended to be used as a reliable surrogate neuroimaging marker for restless legs syndrome. This lack of consistency may be attributed to differences in sample size, genetics, gender distribution and age at onset, clinical heterogeneity (clinical course, anatomical distribution of symptoms, disease severity, disease duration, abnormal sensory profiles and comorbidity), and variations in imaging acquisition, data processing and statistical strategies. Longitudinal studies with multimodal neuroimaging techniques are needed to determine whether structural changes are dynamic and secondary to functional abnormalities.
Collapse
Affiliation(s)
- LiQin Sheng
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, China
| | - PanWen Zhao
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - HaiRong Ma
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, China
| | - Liang Qi
- Second People's Hospital of Huai'an City, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China
| | - ZhongQuan Yi
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - YuanYuan Shi
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - JianGuo Zhong
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - HaiCun Shi
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - ZhenYu Dai
- Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - PingLei Pan
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China.,Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| |
Collapse
|
10
|
Pavkovic IM, Kothare SV. Migraine and Sleep in Children: A Bidirectional Relationship. Pediatr Neurol 2020; 109:20-27. [PMID: 32165029 DOI: 10.1016/j.pediatrneurol.2019.12.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 12/05/2019] [Accepted: 12/24/2019] [Indexed: 01/03/2023]
Abstract
Migraine and sleep disorders in children exhibit a bidirectional relationship. This relationship is based on shared pathophysiology. Migraine involves activation of the trigeminal vascular system. Nociceptive neurons that innervate the dura release various vasoactive peptides. Calcitonin gene-related peptide is the most active of these peptides. Neural pathways that are involved in sleep generation are divided into those responsible for circadian rhythm, wake promotion, non-rapid eye movement, and rapid eye movement sleep activation. Sleep state switches are a critical component of these systems. The cerebral structures, networks, and neurochemical systems that are involved in migraine align closely with those responsible for the regulation of sleep. Neurochemical systems that are involved with both the pathogenesis of migraine and regulation of sleep include adenosine, melatonin, orexin, and calcitonin gene-related peptide. Sleep disorders represent the most common comorbidity with migraine in childhood. The prevalence of parasomnias, obstructive sleep apnea, and sleep-related movement disorders is significantly greater in children migraineurs. Infantile colic is a precursor of childhood migraine. Treatment of comorbid sleep disorders is important for the appropriate management of children with migraine. Sleep-based behavioral interventions can be of substantial benefit. These interventions are particularly important in children due to limited evidence for effective migraine pharmacotherapy.
Collapse
Affiliation(s)
- Ivan M Pavkovic
- Division of Pediatric Neurology, Department of Pediatrics, Cohen Children's Medical Center, Lake Success, New York; Pediatrics, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
| | - Sanjeev V Kothare
- Divison of Pediatric Neurology, Department of Pediatircs, Cohen Children's Medical Center, Lake Success, New York; Pediatric Sleep Program (Neurology), Department of Pediatircs, Cohen Children's Medical Center, Lake Success, New York; Pediatric Neurology Service Line for Northwell Health, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Pediatrics & Neurology, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York.
| |
Collapse
|
11
|
Wang HZ, Wang WH, Shi HC, Yuan CH. Is there a reliable brain morphological signature for migraine? J Headache Pain 2020; 21:89. [PMID: 32652927 PMCID: PMC7353790 DOI: 10.1186/s10194-020-01158-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 07/06/2020] [Indexed: 12/11/2022] Open
Abstract
Voxel-based morphometry (VBM) is a popular non-invasive magnetic resonance imaging technique to investigate brain gray matter (GM) differences between groups. Recently, two VBM studies in migraine have been published in The Journal of Headache and Pain. Reviewing the two and those previous published VBM studies, we found considerable variations of the results. Spatially diverse brain regions with decreased and increased GM alterations and null findings have been reported. It is interesting to know whether there is a reliable brain morphological signature for migraine. Coordinate-based meta-analysis (CBMA) is increasingly used to quantitatively pool individual neuroimaging studies to identify consistent and reliable findings. Several CBMA have been conducted, however, their results were inconsistent. The algorithms for CBMA have evolved and more eligible VBM studies in migraine have been published. We therefore conducted an updated CBMA using the latest algorithms for CBMA, seed-based d mapping with permutation of subject images (SDM-PSI). The present CBMA of 32 VBM studies (41 datasets comprising 1252 patients and 1025 healthy controls) found no evidence of consistent GM alterations in migraine. Sensitivity analysis, subgroup meta-analyses, and meta-regression analyses revealed that the result was robust. This negative result indicates that there is no reliable brain morphological signature for migraine. VBM investigations in migraine remain a heterogeneous field. Many potential confounding factors, such as underpowered sample sizes, variations in demographic and clinical characteristics, and differences in MRI scanners, head coils, scanning parameters, preprocessing procedures, and statistical strategies may cause the inconsistences of the results. Future VBM studies are warranted to enroll well-characterized and homogeneous subtype samples with appropriate sample sizes, comprehensively assess comorbidities and medication status, and use well-validated and standardized imaging protocols and processing and analysis pipelines to produce robust and replicable results in migraine.
Collapse
Affiliation(s)
- Hong Zhou Wang
- Department of Neurology, Kunshan Hospital, Affiliated to Jiangsu University, Kunshan, People's Republic of China
| | - Wan Hua Wang
- Department of Neurology, Kunshan Hospital, Affiliated to Jiangsu University, Kunshan, People's Republic of China
| | - Hai Cun Shi
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, People's Republic of China
| | - Cong Hu Yuan
- Department of Anesthesia and Pain Management, Affiliated Yancheng Hospital, School of Medicine, Southeast University, West Xindu Road 2#, Yancheng, Jiangsu Province, 224001, People's Republic of China.
| |
Collapse
|
12
|
Sigirli D, Gunes A, Turan Ozdemir S, Ercan I, Durmus Y, Erdemli Gursel B. Statistical shape analysis of corpus callosum in restless leg syndrome. Neurol Res 2020; 42:760-766. [PMID: 32496941 DOI: 10.1080/01616412.2020.1773631] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVES In this study we aimed to investigate corpus callosum shape differences between restless leg syndrome patients and healthy controls, and to determine whether disease severity and duration are indicators for corpus callosum deformation in RLS patients. METHODS This study was conducted using the magnetic resonance imaging scans of 33 restless leg syndrome patients and 33 control subjects. Landmarks were marked on the digital images and callosal landmark coordinate data were used to assess shape difference by performing Generalized Procrustes analysis. The shape deformation from controls to the patients was evaluated performing the Thin Plate Spline approach. RESULTS There was a statistically significant shape difference between the groups. Highest deformation was determined at the posterior midbody of the corpus callosum. Growth curve analyses showed that with the increase in disease duration and severity, the CC size decreased. DISCUSSION The present study demonstrated callosal shape differences in restless leg syndrome using a landmark-based geometric morphometric approach, considering the topographic distribution of corpus callosum for the first time.
Collapse
Affiliation(s)
- Deniz Sigirli
- Department of Biostatistics, Medicine, Bursa Uludag University , Bursa, Turkey
| | - Aygul Gunes
- Department of Neurology, Bursa Yuksek Ihtisas Education and Training Hospital, University of Health Sciences , Bursa, Turkey
| | | | - Ilker Ercan
- Department of Biostatistics, Medicine, Bursa Uludag University , Bursa, Turkey
| | - Yavuz Durmus
- Department of Radiology, Bursa Yuksek Ihtisas Education and Training Hospital, University of Health Sciences , Bursa, Turkey
| | | |
Collapse
|
13
|
Aldemir A, Yucel K, Güven H, Kamaşak B, Dilli A, Acer N, Çomoğlu S. Structural neuroimaging findings in migraine patients with restless legs syndrome. Neuroradiology 2020; 62:1301-1313. [PMID: 32488307 DOI: 10.1007/s00234-020-02451-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 04/28/2020] [Indexed: 12/27/2022]
Abstract
PURPOSE One out of three migraine patients might have accompanying restless legs syndrome (RLS). In our study, we aimed to compare the volumes of the brain structures of migraineurs with and without RLS. METHODS We had 37 female patients with migraine and 17 females as the control group. Nineteen migraineurs had no RLS (RLS0) and 18 migraineurs had comorbidity of RLS (RLS1). The volumes of the brain structures were obtained by manual measurements, volBrain, and voxel-based morphometry (VBM). Manually, we measured caudate and putamen volumes. We used age, years of education, depression, anxiety scores, and total intracranial volume as covariates. RESULTS According to VBM analyses, the volumes of the left superior occipital gyrus and precuneus were increased, and the substantia nigra and cuneus were decreased in the RLS1 group compared with the RLS0 group. RLS1 patients had larger superior temporal gyrus, Brodmann area 38, and left insula, and RLS0 patients had larger Brodmann area 22, right superior temporal gyrus, and Heschl gyrus compared with controls. Migraine and RLS0 patients had a smaller corpus callosum anteriorly, whereas RLS1 patients had a smaller splenium. Caudate volumes were larger in migraine patients via the three techniques. There was a positive relation between the caudate and putamen volumes and attack frequency. CONCLUSIONS Comorbidity of RLS might be a confounding factor in structural neuroimaging studies in migraine. Deficits in the visual network seem to be related to accompanying RLS; deficits in the auditory network are particularly related to migraine.
Collapse
Affiliation(s)
- Arzu Aldemir
- Department of Neurology, Acıbadem Hospital, Eskişehir, Turkey
| | - Kaan Yucel
- Department of Anatomy, Aksaray University Medical School, Aksaray, Turkey.
| | - Hayat Güven
- Department of Neurology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Burcu Kamaşak
- Department of Anatomy, Ahi Evran University Medical School, Kırşehir, Turkey
| | - Alper Dilli
- Department of Radiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Niyazi Acer
- Department of Anatomy, Erciyes University Medical School, Kayseri, Turkey
| | - Selçuk Çomoğlu
- Department of Neurology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| |
Collapse
|
14
|
Sheng L, Zhao P, Ma H, Yuan C, Zhong J, Dai Z, Pan P. A lack of consistent brain grey matter alterations in migraine. Brain 2020; 143:e45. [PMID: 32363400 DOI: 10.1093/brain/awaa123] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Affiliation(s)
- LiQin Sheng
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, China
| | - PanWen Zhao
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - HaiRong Ma
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, China
| | - CongHu Yuan
- Department of Anesthesia and Pain Management, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - JianGuo Zhong
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - ZhenYu Dai
- Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - PingLei Pan
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| |
Collapse
|
15
|
Yang XJ, Liu L, Xu ZL, Zhang YJ, Liu DP, Fishers M, Zhang L, Sun JB, Liu P, Zeng X, Wang LP, Qin W. Baseline Brain Gray Matter Volume as a Predictor of Acupuncture Outcome in Treating Migraine. Front Neurol 2020; 11:111. [PMID: 32194493 PMCID: PMC7066302 DOI: 10.3389/fneur.2020.00111] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 01/31/2020] [Indexed: 12/29/2022] Open
Abstract
Background: The present study aimed to investigate the use of imaging biomarkers to predict the outcome of acupuncture in patients with migraine without aura (MwoA). Methods: Forty-one patients with MwoA received 4 weeks of acupuncture treatment and two brain imaging sessions at the Beijing Traditional Chinese Medicine Hospital affiliated with Capital Medical University. Patients kept a headache diary for 4 weeks before treatment and during acupuncture treatment. Responders were defined as those with at least a 50% reduction in the number of migraine days. The machine learning method was used to distinguish responders from non-responders based on pre-treatment brain gray matter (GM) volume. Longitudinal changes in GM predictive regions were also analyzed. Results: After 4 weeks of acupuncture, 19 patients were classified as responders. Based on 10-fold cross-validation for the selection of GM features, the linear support vector machine produced a classification model with 73% sensitivity, 85% specificity, and 83% accuracy. The area under the receiver operating characteristic curve was 0.7871. This classification model included 10 GM areas that were mainly distributed in the frontal, temporal, parietal, precuneus, and cuneus gyri. The reduction in the number of migraine days was correlated with baseline GM volume in the cuneus, parietal, and frontal gyri in all patients. Moreover, the left cuneus showed a longitudinal increase in GM volume in responders. Conclusion: The results suggest that pre-treatment brain structure could be a novel predictor of the outcome of acupuncture in the treatment of MwoA. Imaging features could be a useful tool for the prediction of acupuncture efficacy, which would enable the development of a personalized medicine strategy.
Collapse
Affiliation(s)
- Xue-Juan Yang
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Lu Liu
- Beijing Key Laboratory of Acupuncture Neuromodulation, Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zi-Liang Xu
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Ya-Jie Zhang
- Beijing Key Laboratory of Acupuncture Neuromodulation, Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Da-Peng Liu
- Beijing Key Laboratory of Acupuncture Neuromodulation, Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Marc Fishers
- Department of Neurology, Beth Israel Deaconess Medical Centre and Harvard Medical School, Boston, MA, United States
| | - Lan Zhang
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Jin-Bo Sun
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Peng Liu
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Xiao Zeng
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Lin-Peng Wang
- Beijing Key Laboratory of Acupuncture Neuromodulation, Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Wei Qin
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
| |
Collapse
|