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Chen Y, Xu J, Wu J, Chen H, Kang Y, Yang Y, Gong Z, Huang Y, Wang H, Wang B, Zhan S, Tan W. Aberrant concordance among dynamics of spontaneous brain activity in patients with migraine without aura: A multivariate pattern analysis study. Heliyon 2024; 10:e30008. [PMID: 38737279 PMCID: PMC11088259 DOI: 10.1016/j.heliyon.2024.e30008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 04/08/2024] [Accepted: 04/18/2024] [Indexed: 05/14/2024] Open
Abstract
Background Alterations in the static and dynamic characteristics of spontaneous brain activity have been extensively studied to investigate functional brain changes in migraine without aura (MwoA). However, alterations in concordance among the dynamics of spontaneous brain activity in MwoA remain largely unknown. This study aimed to determine the possibilities of diagnosis based on the concordance indices. Methods Resting-state functional MRI scans were performed on 32 patients with MwoA and 33 matched healthy controls (HCs) in the first cohort, as well as 36 patients with MwoA and 32 HCs in the validation cohort. The dynamic indices including fractional amplitude of low-frequency fluctuation, regional homogeneity, voxel-mirrored homotopic connectivity, degree centrality and global signal connectivity were analyzed. We calculated the concordance of grey matter volume-wise (across voxels) and voxel-wise (across time windows) to quantify the degree of integration among different functional levels represented by these dynamic indices. Subsequently, the voxel-wise concordance alterations were analyzed as features for multi-voxel pattern analysis (MVPA) utilizing the support vector machine. Results Compared with that of HCs, patients with MwoA had lower whole-grey matter volume-wise concordance, and the mean value of volume-wise concordance was negatively correlated with the frequency of migraine attacks. The MVPA results revealed that the most discriminative brain regions were the right thalamus, right cerebellar Crus II, left insula, left precentral gyrus, right cuneus, and left inferior occipital gyrus. Conclusions Concordance alterations in the dynamics of spontaneous brain activity in brain regions could be an important feature in the identification of patients with MwoA.
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Affiliation(s)
- Yilei Chen
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jun Xu
- Pharmacy Department, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiazhen Wu
- Department of Radiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hui Chen
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yingjie Kang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yuchan Yang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhigang Gong
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yanwen Huang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hui Wang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Bo Wang
- Department of Acupuncture and Moxibustion, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Songhua Zhan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenli Tan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Fila M, Chojnacki C, Chojnacki J, Blasiak J. The kynurenine pathway of tryptophan metabolism in abdominal migraine in children - A therapeutic potential? Eur J Paediatr Neurol 2024; 48:1-12. [PMID: 37984006 DOI: 10.1016/j.ejpn.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Abdominal migraine (AM) is a clinical diagnosis specified by Rome IV and ICHD III as a functional gastrointestinal disease (FGID) and a migraine associated syndrome, respectively. Abdominal migraine in childhood and adolescence may continue with migraine headaches in adulthood. This disease is undiagnosed and undertreated, and thus far the FDA has not approved any drug for AM treatment. It was shown that changes in the kynurenine (KYN) pathway of tryptophan (TRP) metabolism played an important role in the pathogenesis and treatment of FIGDs and associated mood disorders. Changes in the KYN pathway were shown in migraine and therefore it may be involved in AM pathogenesis. FINDINGS Abdominal migraine reflects an impairment in the communication within the gut-brain axis. Treatment approaches in AM are based on the experience of physicians, presenting personal rather than evidence-based practice, including efficacy of some drugs in adult migraine. Non-pharmacological treatment of AM is aimed at preventing or ameliorating AM triggers and is based on the STRESS mnemonic. Metabolic treatments with riboflavin and coenzyme Q10 were effective in several cases of pediatric migraine, but in general, results on metabolic treatment in migraine in children are scarce and nonconclusive. Modulations within the KYN pathway of TRP metabolism induced by changes in TRP content in the diet, may ameliorate FGIDs and support their pharmacological treatment. Pharmacological manipulations of brain KYNs in animals have brought promising results for clinical applications. Obese children show a higher headache prevalence and may be especially predisposed to AM, and KYN metabolites showed an alternated distribution in obese individuals as compared with their normal-weight counterparts. CONCLUSIONS In conclusion, controlled placebo-based clinical trials with dietary manipulation to adjust the amount of the product of the KYN pathway of TRP metabolism are justified in children and adolescents with AM, especially those with coexisting obesity. Further preclinical studies are needed to establish details of these trials.
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Affiliation(s)
- Michal Fila
- Department of Developmental Neurology and Epileptology, Polish Mother's Memorial Hospital Research Institute, 93-338, Lodz, Poland
| | - Cezary Chojnacki
- Department of Clinical Nutrition and Gastroenterological Diagnostics, Medical University of Lodz, 90-647, Poland
| | - Jan Chojnacki
- Department of Clinical Nutrition and Gastroenterological Diagnostics, Medical University of Lodz, 90-647, Poland
| | - Janusz Blasiak
- Faculty of Medicine, Collegium Medicum, Mazovian Academy in Plock, 09-420 Plock, Poland.
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Navarro-González R, García-Azorín D, Guerrero-Peral ÁL, Planchuelo-Gómez Á, Aja-Fernández S, de Luis-García R. Increased MRI-based Brain Age in chronic migraine patients. J Headache Pain 2023; 24:133. [PMID: 37798720 PMCID: PMC10557155 DOI: 10.1186/s10194-023-01670-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 09/22/2023] [Indexed: 10/07/2023] Open
Abstract
INTRODUCTION Neuroimaging has revealed that migraine is linked to alterations in both the structure and function of the brain. However, the relationship of these changes with aging has not been studied in detail. Here we employ the Brain Age framework to analyze migraine, by building a machine-learning model that predicts age from neuroimaging data. We hypothesize that migraine patients will exhibit an increased Brain Age Gap (the difference between the predicted age and the chronological age) compared to healthy participants. METHODS We trained a machine learning model to predict Brain Age from 2,771 T1-weighted magnetic resonance imaging scans of healthy subjects. The processing pipeline included the automatic segmentation of the images, the extraction of 1,479 imaging features (both morphological and intensity-based), harmonization, feature selection and training inside a 10-fold cross-validation scheme. Separate models based only on morphological and intensity features were also trained, and all the Brain Age models were later applied to a discovery cohort composed of 247 subjects, divided into healthy controls (HC, n=82), episodic migraine (EM, n=91), and chronic migraine patients (CM, n=74). RESULTS CM patients showed an increased Brain Age Gap compared to HC (4.16 vs -0.56 years, P=0.01). A smaller Brain Age Gap was found for EM patients, not reaching statistical significance (1.21 vs -0.56 years, P=0.19). No associations were found between the Brain Age Gap and headache or migraine frequency, or duration of the disease. Brain imaging features that have previously been associated with migraine were among the main drivers of the differences in the predicted age. Also, the separate analysis using only morphological or intensity-based features revealed different patterns in the Brain Age biomarker in patients with migraine. CONCLUSION The brain-predicted age has shown to be a sensitive biomarker of CM patients and can help reveal distinct aging patterns in migraine.
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Affiliation(s)
| | - David García-Azorín
- Headache Unit, Department of Neurology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
- Department of Medicine, Universidad de Valladolid, Valladolid, Spain.
| | - Ángel L Guerrero-Peral
- Headache Unit, Department of Neurology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Department of Medicine, Universidad de Valladolid, Valladolid, Spain
| | - Álvaro Planchuelo-Gómez
- Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
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Cai M, Liu J, Wang X, Ma J, Ma L, Liu M, Zhao Y, Wang H, Fu D, Wang W, Xu Q, Guo L, Liu F. Spontaneous brain activity abnormalities in migraine: A meta-analysis of functional neuroimaging. Hum Brain Mapp 2022; 44:571-584. [PMID: 36129066 PMCID: PMC9842892 DOI: 10.1002/hbm.26085] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 08/21/2022] [Accepted: 09/02/2022] [Indexed: 01/25/2023] Open
Abstract
Neuroimaging studies have demonstrated that migraine is accompanied by spontaneous brain activity alterations in specific regions. However, these findings are inconsistent, thus hindering our understanding of the potential neuropathology. Hence, we performed a quantitative whole-brain meta-analysis of relevant resting-state functional imaging studies to identify brain regions consistently involved in migraine. A systematic search of studies that investigated the differences in spontaneous brain activity patterns between migraineurs and healthy controls up to April 2022 was conducted. We then performed a whole-brain voxel-wise meta-analysis using the anisotropic effect size version of seed-based d mapping software. Complementary analyses including jackknife sensitivity analysis, heterogeneity test, publication bias test, subgroup analysis, and meta-regression analysis were conducted as well. In total, 24 studies that reported 31 datasets were finally eligible for our meta-analysis, including 748 patients and 690 controls. In contrast to healthy controls, migraineurs demonstrated consistent and robust decreased spontaneous brain activity in the angular gyrus, visual cortex, and cerebellum, while increased activity in the caudate, thalamus, pons, and prefrontal cortex. Results were robust and highly replicable in the following jackknife sensitivity analysis and subgroup analysis. Meta-regression analyses revealed that a higher visual analog scale score in the patient sample was associated with increased spontaneous brain activity in the left thalamus. These findings provided not only a comprehensive overview of spontaneous brain activity patterns impairments, but also useful insights into the pathophysiology of dysfunction in migraine.
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Affiliation(s)
- Mengjing Cai
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Jiawei Liu
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Xuexiang Wang
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina,Department of RadiologyTianjin Hongqiao HospitalTianjinChina
| | - Juanwei Ma
- Department of RadiologyTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for CancerTianjinChina
| | - Lin Ma
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Mengge Liu
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Yao Zhao
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - He Wang
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Dianxun Fu
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Wenqin Wang
- School of Mathematical SciencesTiangong UniversityTianjinChina
| | - Qiang Xu
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Lining Guo
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
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5
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Duan S, Ren Z, Xia H, Wang Z, Zheng T, Liu Z. Association between sleep quality, migraine and migraine burden. Front Neurol 2022; 13:955298. [PMID: 36090858 PMCID: PMC9459411 DOI: 10.3389/fneur.2022.955298] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe relationship between sleep and migraine is well known to be bidirectional. However, few studies have systematically assessed the association between sleep quality and the risk of developing migraine, and its gender and age differences are unclear. And there is currently limited evidence on the associations between sleep quality and migraine-related burdens.ObjectiveThe objectives of this study were to: (1) explore the association between sleep quality and the risk of developing migraine, and its gender and age differences; (2) investigate the associations between sleep quality and the total pain burden, severity, disability, headache impact, quality of life, anxiety, and depression of migraine patients.MethodsThis study consecutively enrolled 134 migraine patients and 70 sex- and age-matched healthy control subjects. Sleep quality was assessed through the Pittsburgh Sleep Quality Index (PSQI). Logistic regression and linear regression analyses were used to explore the associations between sleep quality with the risk of developing migraine and the migraine-related burdens.ResultsThe prevalence of poor sleep quality in migraine patients was significantly higher than that in subjects without migraine (P < 0.001). After adjusting for various confounding factors, the risk of migraine with poor sleep quality remained 3.981 times that of those with good sleep quality. The subgroup analysis showed that there were significant additive interactions between poor sleep quality and the risk of migraine in gender, age, and education level (P for interaction < 0.05), and the stronger correlations were found in females, populations with ages more than 35 years old, and with lower education levels. In addition, multivariate linear regression analysis showed that poor sleep quality was significantly and independently associated with the total pain burden, severity, headache impact, quality of life, anxiety, and depression in migraine patients (P trend < 0.05).ConclusionPoor sleep quality was significantly independently associated with an increased risk of developing migraine and the migraine-related burdens. Strengthening PSQI assessment is valuable for the early prevention and treatment of migraine patients.
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Affiliation(s)
- Shaojie Duan
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Zhiying Ren
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Hui Xia
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Ziyao Wang
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Tao Zheng
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Zunjing Liu
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Department of Neurology, Peking University People's Hospital, Beijing, China
- *Correspondence: Zunjing Liu
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Chu C, Zhong R, Cai M, Li N, Lin W. Elevated Blood S100B Levels in Patients With Migraine: A Systematic Review and Meta-Analysis. Front Neurol 2022; 13:914051. [PMID: 35911929 PMCID: PMC9329586 DOI: 10.3389/fneur.2022.914051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background: In recent years, a growing number of researches indicate that S100B may act in migraine, but the relationship between S100B and migraine remains controversial. Therefore, the current study aimed to perform a meta-analysis to quantitatively summarize S100B levels in migraine patients. Methods We used Stata 12.0 software to summarize eligible studies from PubMed, EMBASE, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang databases. We applied standardized mean differences (SMDs) with 95% confidence intervals (95%CIs) to appraise the association between S100B and migraine. Results The combined results of nine case-control studies indicated that compared with healthy controls, overall migraine patients had significantly increased S100B levels in peripheral blood (SMD = 0.688, 95%CI: 0.341–1.036, P < 0.001). The S100B levels in migraineurs during ictal periods (SMD =1.123, 95%CI: 0.409–1.836, P = 0.002) and interictal periods (SMD = 0.487, 95%CI: 0313–0.661, P < 0.001), aura (SMD = 0.999, 95%CI: 0.598–1.400, P < 0.001) and without aura (SMD = 0.534, 95%CI: 0.286–0.783, P < 0.001) were significantly higher than those in the controls. The subgroup analyses by age, country, migraine assessment, and assay method of S100B also illustrated a statistically obvious association between S100B levels and migraine, indicating that age may be the most important source of heterogeneity. Sensitivity analysis showed that no individual study has a significant influence on the overall association between S100B and migraine. Conclusion This meta-analysis demonstrates that the level of S100B in peripheral blood of patients with migraine was significantly increased. Migraine may be associated with pathological reactions involving S100B, which is instrumental for the clinical diagnosis of migraine and therapy that considers S100B as a potential target.
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Wei X, Centeno MV, Ren W, Borruto AM, Procissi D, Xu T, Jabakhanji R, Mao Z, Kim H, Li Y, Yang Y, Gutruf P, Rogers JA, Surmeier DJ, Radulovic J, Liu X, Martina M, Apkarian AV. Activation of the dorsal, but not the ventral, hippocampus relieves neuropathic pain in rodents. Pain 2021; 162:2865-2880. [PMID: 34160168 PMCID: PMC8464622 DOI: 10.1097/j.pain.0000000000002279] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 02/23/2021] [Accepted: 02/25/2021] [Indexed: 11/26/2022]
Abstract
ABSTRACT Accumulating evidence suggests hippocampal impairment under the chronic pain phenotype. However, it is unknown whether neuropathic behaviors are related to dysfunction of the hippocampal circuitry. Here, we enhanced hippocampal activity by pharmacological, optogenetic, and chemogenetic techniques to determine hippocampal influence on neuropathic pain behaviors. We found that excitation of the dorsal (DH), but not the ventral (VH) hippocampus induces analgesia in 2 rodent models of neuropathic pain (SNI and SNL) and in rats and mice. Optogenetic and pharmacological manipulations of DH neurons demonstrated that DH-induced analgesia was mediated by N-Methyl-D-aspartate and μ-opioid receptors. In addition to analgesia, optogenetic stimulation of the DH in SNI mice also resulted in enhanced real-time conditioned place preference for the chamber where the DH was activated, a finding consistent with pain relief. Similar manipulations in the VH were ineffective. Using chemo-functional magnetic resonance imaging (fMRI), where awake resting-state fMRI was combined with viral vector-mediated chemogenetic activation (PSAM/PSEM89s) of DH neurons, we demonstrated changes of functional connectivity between the DH and thalamus and somatosensory regions that tracked the extent of relief from tactile allodynia. Moreover, we examined hippocampal functional connectivity in humans and observe differential reorganization of its anterior and posterior subdivisions between subacute and chronic back pain. Altogether, these results imply that downregulation of the DH circuitry during chronic neuropathic pain aggravates pain-related behaviors. Conversely, activation of the DH reverses pain-related behaviors through local excitatory and opioidergic mechanisms affecting DH functional connectivity. Thus, this study exhibits a novel causal role for the DH but not the VH in controlling neuropathic pain-related behaviors.
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Affiliation(s)
- Xuhong Wei
- Pain Research Center and Department of Physiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
- Departments of Physiology and
| | | | | | | | - Daniele Procissi
- Radiology, Albert Einstein College of Medicine, The Bronx, NY, United States
| | - Ting Xu
- Pain Research Center and Department of Physiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | | | | | | | - Yajing Li
- Departments of Materials Science and Engineering and
- Biomedical Engineering, Northwestern University, Evanston, IL, United States
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Yiyuan Yang
- Departments of Materials Science and Engineering and
- Biomedical Engineering, Northwestern University, Evanston, IL, United States
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Philipp Gutruf
- Departments of Materials Science and Engineering and
- Biomedical Engineering, Northwestern University, Evanston, IL, United States
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - John A. Rogers
- Departments of Materials Science and Engineering and
- Biomedical Engineering, Northwestern University, Evanston, IL, United States
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | | | - Jelena Radulovic
- Department of Neuroscience and Department of Psychiatry and Behavioral Science, Albert Einstein College of Medicine, The Bronx, NY, United States
| | - Xianguo Liu
- Pain Research Center and Department of Physiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Marco Martina
- Departments of Physiology and
- Department of Neuroscience and Department of Psychiatry and Behavioral Science, Albert Einstein College of Medicine, The Bronx, NY, United States
| | - Apkar Vania Apkarian
- Departments of Physiology and
- Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Department of Anesthesia, at Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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Zhu Y, Dai L, Zhao H, Ji B, Yu Y, Dai H, Hu C, Wang X, Ke J. Alterations in Effective Connectivity of the Hippocampus in Migraine without Aura. J Pain Res 2021; 14:3333-3343. [PMID: 34707401 PMCID: PMC8544273 DOI: 10.2147/jpr.s327945] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 10/04/2021] [Indexed: 12/12/2022] Open
Abstract
Purpose Neuroimaging studies on migraine have revealed structural and functional alterations in the hippocampus, a region involved in pain processing and stress response. This study was designed to investigate whether effective connectivity of this region is disrupted in migraine and relates to chronicity of this disease. Patients and Methods In 39 episodic migraine (EM) patients, 17 chronic migraine (CM) patients, and 35 healthy controls, we investigated differences in the directional influences between the hippocampus and the rest of the brain by combining resting-state functional magnetic resonance imaging and Granger causality analysis (GCA), with bilateral hippocampus as seed regions. The associations between directional influences and the clinical variables were also examined. Results Comparing each patient group to the control group, we found increased and decreased negative influence on the hippocampus exerted by the bilateral visual areas and right dorsolateral prefrontal cortex (dlPFC), respectively. The hippocampus showed increased positive influence on the right posterior insula and medial prefrontal cortex (mPFC), as well as increased negative influence on the left cerebellum in CM patients relative to EM patients and healthy controls. Furthermore, across all patients, the migraine frequency exhibited a positive and negative association with causal influence from the hippocampus to mPFC and left cerebellum, respectively. Conclusion Migraine patients have abnormal effective connectivity between the hippocampus and multiple brain regions involved in the sensory and cognitive processing of pain. Disrupted directional influences to the hippocampus exerted by dlPFC and bilateral visual areas were common features of EM and CM patients. Directional influences from the hippocampus to mPFC and left cerebellum may be useful imaging biomarkers for assessing migraine frequency.
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Affiliation(s)
- Yadi Zhu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Lingling Dai
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Hongru Zhao
- Department of Neurology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Boan Ji
- Medical School of Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Yang Yu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Hui Dai
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Chunhong Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Ximing Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Jun Ke
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
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Stauffer VL, Turner I, Kemmer P, Kielbasa W, Day K, Port M, Quinlan T, Camporeale A. Effect of age on pharmacokinetics, efficacy, and safety of galcanezumab treatment in adult patients with migraine: results from six phase 2 and phase 3 randomized clinical trials. J Headache Pain 2020; 21:79. [PMID: 32576229 PMCID: PMC7310276 DOI: 10.1186/s10194-020-01148-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 06/09/2020] [Indexed: 12/20/2022] Open
Abstract
Background Migraine clinical profile may change with age, making it necessary to verify that migraine treatments are equally safe and effective in older patients. These analyses evaluated the effects of patient age on the pharmacokinetics (PK), efficacy, and safety of galcanezumab for prevention of migraine. Methods Analyses included efficacy data from three double-blind phase 3 clinical trials: two 6-month studies in episodic migraine (EVOLVE-1, EVOLVE-2: N = 1773) and one 3-month study in chronic migraine (REGAIN:N = 1113). Patients were randomized 2:1:1 to placebo, galcanezumab 120 mg, or galcanezumab 240 mg. Safety and PK data included additional phase 2 and phase 3 trials for a larger sample size of patients > 60 years (range = 18–65 for all studies). Subgroup analyses assessed efficacy measures, adverse event (AE) occurrence, and cardiovascular measurement changes by patient age group. Galcanezumab PK were evaluated using a population analysis approach, where age was examined as a potential covariate on apparent clearance (CL/F) and apparent volume of distribution (V/F) of galcanezumab. Results Numbers of baseline monthly migraine headache days were similar across age groups. There were no statistically significant treatment-by-age group interactions for any efficacy measures, except in episodic migraine studies where older patients appeared to have a larger reduction than younger patients in the number of monthly migraine headache days with acute medication use. Age (18–65) had a minimal effect on CL/F, and no effect on V/F. Galcanezumab-treated patients ≥60 years experienced no clinically meaningful increases in blood pressure and no increased frequency in treatment-emergent AEs, discontinuations due to AEs, serious adverse events (SAEs) overall, or cardiovascular SAEs, compared to age-matched placebo-treated patients. Conclusions Age (up to 65 years) does not affect efficacy in migraine prevention and has no clinically meaningful influence on galcanezumab PK to warrant dose adjustment. Furthermore, older galcanezumab-treated patients experienced no increases in frequency of AEs or increases in blood pressure compared with age-matched placebo-treated patients. Trial registrations EVOLVE-1 (NCT02614183, registered 23 November 2015), EVOLVE-2 (NCT02614196, 23 November 2015), REGAIN (NCT02614261, 23 November 2015), ART-01 (NCT01625988, 20 June 2012, ), I5Q-MC-CGAB (NCT02163993, 12 June 2014, ), I5Q-MC-CGAJ (NCT02614287, 23 November 2015, ), all retrospectively registered.
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Affiliation(s)
| | - Ira Turner
- Center for Headache Care and Research, Island Neurological Associates, a division of ProHEALTHcare Associates, Plainview, NY, USA
| | - Phebe Kemmer
- Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN, USA
| | - William Kielbasa
- Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN, USA
| | - Kathleen Day
- Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN, USA
| | - Martha Port
- Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN, USA
| | - Tonya Quinlan
- Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN, USA
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Coppola G, Parisi V, Di Renzo A, Pierelli F. Cortical pain processing in migraine. J Neural Transm (Vienna) 2019; 127:551-566. [DOI: 10.1007/s00702-019-02089-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 09/28/2019] [Indexed: 12/17/2022]
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The metabolic face of migraine - from pathophysiology to treatment. Nat Rev Neurol 2019; 15:627-643. [PMID: 31586135 DOI: 10.1038/s41582-019-0255-4] [Citation(s) in RCA: 127] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2019] [Indexed: 12/11/2022]
Abstract
Migraine can be regarded as a conserved, adaptive response that occurs in genetically predisposed individuals with a mismatch between the brain's energy reserve and workload. Given the high prevalence of migraine, genotypes associated with the condition seem likely to have conferred an evolutionary advantage. Technological advances have enabled the examination of different aspects of cerebral metabolism in patients with migraine, and complementary animal research has highlighted possible metabolic mechanisms in migraine pathophysiology. An increasing amount of evidence - much of it clinical - suggests that migraine is a response to cerebral energy deficiency or oxidative stress levels that exceed antioxidant capacity and that the attack itself helps to restore brain energy homeostasis and reduces harmful oxidative stress levels. Greater understanding of metabolism in migraine offers novel therapeutic opportunities. In this Review, we describe the evidence for abnormalities in energy metabolism and mitochondrial function in migraine, with a focus on clinical data (including neuroimaging, biochemical, genetic and therapeutic studies), and consider the relationship of these abnormalities with the abnormal sensory processing and cerebral hyper-responsivity observed in migraine. We discuss experimental data to consider potential mechanisms by which metabolic abnormalities could generate attacks. Finally, we highlight potential treatments that target cerebral metabolism, such as nutraceuticals, ketone bodies and dietary interventions.
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