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Nie P, Wang T, Wu Q, Chen W, Shen F, Huang L, Dong X. Attention Deficits in Migraine: Mismatch Negativity and P3a in an Event-Related Potential Study. J Pain Res 2025; 18:1161-1171. [PMID: 40092720 PMCID: PMC11908398 DOI: 10.2147/jpr.s506708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2024] [Accepted: 02/28/2025] [Indexed: 03/19/2025] Open
Abstract
Purpose Attention performance in chronic migraine remains unclear. The present study aimed to explore the pre-attentive detection and attention orienting ability in individuals with chronic migraine (CM) measured by mismatch negativity (MMN) and P3a components and assess their associations with migraine characteristics. Methods This cross-sectional observational study recruited 25 individuals with episodic migraine (EM), 25 individuals with CM and 25 healthy controls (HC) matched for age, sex, and educational level. The MMN and P3a components were measured using event-related potential (ERPs) tools with auditory oddball paradigms and migraine characteristics were collected. Results Individuals with CM exhibited a longer MMN latency (p = 0.010) and a lower P3a amplitude than HC (p = 0.004) and EM (p = 0.002). Correlation analysis showed that P3a amplitude was negatively correlated with headache attack frequency and the Migraine Disability Assessment Scale (MIDAS), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD) scores. Conclusion Individuals with CM showed deficits in pre-attentive detection and attention orientation. Moreover, attention-oriented dysfunction is associated with headache attack frequency, headache-related disability, anxiety and depression.
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Affiliation(s)
- Ping Nie
- Department of Neurology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China
| | - Teng Wang
- Department of Neurology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China
| | - Qian Wu
- Department of Neurology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China
| | - Weikai Chen
- Department of Neurology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China
- Department of Neurology, The Third Hospital of Xiamen, Xiamen, 361000, People’s Republic of China
| | - Feifei Shen
- Department of Neurology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China
| | - Lin Huang
- Department of Neurology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China
| | - Xin Dong
- Department of Neurology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China
- Department of Neurosurgery, Chongqing Hospital of Jiangsu Province Hospital, Chongqing, 401420, People’s Republic of China
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2
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Daungsupawong H, Wiwanitkit V. Neural correlates of pain acceptance and the role of the cerebellum: Comment. Eur J Pain 2025; 29:e4751. [PMID: 39491053 DOI: 10.1002/ejp.4751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Revised: 10/13/2024] [Accepted: 10/17/2024] [Indexed: 11/05/2024]
Affiliation(s)
| | - Viroj Wiwanitkit
- Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, India
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3
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Su X, Li Y, Liu H, An S, Yao N, Li C, Shang M, Ma L, Yang J, Li J, Zhang M, Dun W, Huang ZG. Brain Network Dynamics in Women With Primary Dysmenorrhea During the Pain-Free Periovulation Phase. THE JOURNAL OF PAIN 2024; 25:104618. [PMID: 38945381 DOI: 10.1016/j.jpain.2024.104618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 06/07/2024] [Accepted: 06/22/2024] [Indexed: 07/02/2024]
Abstract
The human brain is a dynamic system that shows frequency-specific features. Neuroimaging studies have shown that both healthy individuals and those with chronic pain disorders experience pain influenced by various processes that fluctuate over time. Primary dysmenorrhea (PDM) is a chronic visceral pain that disrupts the coordinated activity of brain's functional network. However, it remains unclear whether the dynamic interactions across the whole-brain network over time and their associations with neurobehavioral symptoms are dependent on the frequency bands in patients with PDM during the pain-free periovulation phase. In this study, we used an energy landscape analysis to examine the interactions over time across the large-scale network in a sample of 59 patients with PDM and 57 healthy controls (HCs) at different frequency bands. Compared with HCs, patients with PDM exhibit aberrant brain dynamics, with more significant differences in the slow-4 frequency band. Patients with PDM show more indirect neural transition counts due to an unstable intermediate state, whereas neurotypical brain activity frequently transitions between 2 major states. This data-driven approach further revealed that the brains of individuals with PDM have more abnormal brain dynamics than HCs. Our results suggested that unstable brain dynamics were associated with the strength of brain functional segregation and the Pain Catastrophizing Scale score. Our findings provide preliminary evidence that atypical dynamics in the functional network may serve as a potential key feature and biological marker of patients with PDM during the pain-free phase. PERSPECTIVE: We applied energy landscape analysis on brain-imaging data to identify relatively stable and dominant brain activity patterns for patients with PDM. More atypical brain dynamics were found in the slow-4 band and were related to the strength of functional segregation, providing new insights into the dysfunction brain dynamics.
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Affiliation(s)
- Xing Su
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Youjun Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Huiping Liu
- School of Future Technology, Xi'an Jiaotong University, Xi'an, China; Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Simeng An
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Nan Yao
- Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Department of Applied Physics, Xi'an University of Technology, Xi'an, China
| | - Chenxi Li
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, Shaanxi, China
| | - Meiling Shang
- School of Future Technology, Xi'an Jiaotong University, Xi'an, China; Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ling Ma
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jing Yang
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jianlong Li
- Department of Urology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, PR China
| | - Ming Zhang
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wanghuan Dun
- Rehabilitation Medicine Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Zi-Gang Huang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
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4
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Kaplan CM, Kelleher E, Irani A, Schrepf A, Clauw DJ, Harte SE. Deciphering nociplastic pain: clinical features, risk factors and potential mechanisms. Nat Rev Neurol 2024; 20:347-363. [PMID: 38755449 DOI: 10.1038/s41582-024-00966-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2024] [Indexed: 05/18/2024]
Abstract
Nociplastic pain is a mechanistic term used to describe pain that arises or is sustained by altered nociception, despite the absence of tissue damage. Although nociplastic pain has distinct pathophysiology from nociceptive and neuropathic pain, these pain mechanisms often coincide within individuals, which contributes to the intractability of chronic pain. Key symptoms of nociplastic pain include pain in multiple body regions, fatigue, sleep disturbances, cognitive dysfunction, depression and anxiety. Individuals with nociplastic pain are often diffusely tender - indicative of hyperalgesia and/or allodynia - and are often more sensitive than others to non-painful sensory stimuli such as lights, odours and noises. This Review summarizes the risk factors, clinical presentation and treatment of nociplastic pain, and describes how alterations in brain function and structure, immune processing and peripheral factors might contribute to the nociplastic pain phenotype. This article concludes with a discussion of two proposed subtypes of nociplastic pain that reflect distinct neurobiological features and treatment responsivity.
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Affiliation(s)
- Chelsea M Kaplan
- Chronic Pain and Fatigue Research Center, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.
| | - Eoin Kelleher
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Anushka Irani
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- Division of Rheumatology, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Andrew Schrepf
- Chronic Pain and Fatigue Research Center, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Daniel J Clauw
- Chronic Pain and Fatigue Research Center, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Steven E Harte
- Chronic Pain and Fatigue Research Center, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
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5
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Sturgeon JA, Zubieta C, Kaplan CM, Pierce J, Arewasikporn A, Slepian PM, Hassett AL, Trost Z. Broadening the Scope of Resilience in Chronic Pain: Methods, Social Context, and Development. Curr Rheumatol Rep 2024; 26:112-123. [PMID: 38270842 PMCID: PMC11528306 DOI: 10.1007/s11926-024-01133-0] [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] [Accepted: 01/16/2024] [Indexed: 01/26/2024]
Abstract
PURPOSE OF REVIEW A wellspring of new research has offered varying models of resilience in chronic pain populations; however, resilience is a multifaceted and occasionally nebulous construct. The current review explores definitional and methodological issues in existing observational and clinical studies and offers new directions for future studies of pain resilience. RECENT FINDINGS Definitions of pain resilience have historically relied heavily upon self-report and from relatively narrow scientific domains (e.g., positive psychology) and in narrow demographic groups (i.e., Caucasian, affluent, or highly educated adults). Meta-analytic and systematic reviews have noted moderate overall quality of resilience-focused assessment and treatment in chronic pain, which may be attributable to these narrow definitions. Integration of research from affiliated fields (developmental models, neuroimaging, research on historically underrepresented groups, trauma psychology) has the potential to enrich current models of pain resilience and ultimately improve the empirical and clinical utility of resilience models in chronic pain.
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Affiliation(s)
- John A Sturgeon
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.
| | - Caroline Zubieta
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Chelsea M Kaplan
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jennifer Pierce
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Anne Arewasikporn
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - P Maxwell Slepian
- Department of Anesthesia and Pain Management, Toronto General Hospital, Toronto, CA, USA
| | - Afton L Hassett
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Zina Trost
- Department of Psychology, Texas A&M University, College Station, TX, USA
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6
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Juhasz G, Gecse K, Baksa D. Towards precision medicine in migraine: Recent therapeutic advances and potential biomarkers to understand heterogeneity and treatment response. Pharmacol Ther 2023; 250:108523. [PMID: 37657674 DOI: 10.1016/j.pharmthera.2023.108523] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 08/11/2023] [Accepted: 08/29/2023] [Indexed: 09/03/2023]
Abstract
After 35 years since the introduction of the International Classification of Headache Disorders (ICHD), we are living in the era of the second great revolution in migraine therapies. First, discoveries of triptans provided a breakthrough in acute migraine treatment utilizing bench-to-bedside research results on the role of serotonin in migraine. Next, the discovery of the role of neuropeptides, more specifically calcitonin gene-related peptide (CGRP) in migraine attack led to the development of anti-CGRP therapies that are effective both in acute and preventive treatment, and are also able to reduce migraine-related burden. Here, we reviewed the most recent clinical studies and real-world data on available migraine-specific medications, including triptans, ditants, gepants and anti-CGRP monoclonal antibodies. Novel drug targets, such as PACAP and amylins were also discussed. To address the main challenges of migraine therapy, the high heterogeneity of people with migraine, the prevalent presence of various comorbid disorders, and the insufficient medical care of migraine patients were covered. Promising novel approaches from the fields of omics, blood and saliva biomarker, imaging and provocation studies might bring solutions for these challenges with the potential to identify further drug targets, distinguish more homogeneous patient subgroups, contribute to more optimal drug selection strategies, and detect biomarkers in association with headache features or predicting treatment efficacy. In the future, the combined analysis of data of different biomarker modalities with machine learning algorithms may serve precision medicine in migraine treatment.
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Affiliation(s)
- Gabriella Juhasz
- Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary; NAP3.0 Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary.
| | - Kinga Gecse
- Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary; NAP3.0 Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
| | - Daniel Baksa
- Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary; NAP3.0 Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary; Department of Personality and Clinical Psychology, Institute of Psychology, Faculty of Humanities and Social Sciences, Pazmany Peter Catholic University, Budapest, Hungary
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7
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[Consensus statement of the migraine and headache societies (DMKG, ÖKSG, and SKG) on the duration of pharmacological migraine prophylaxis]. Schmerz 2023; 37:5-16. [PMID: 36287263 PMCID: PMC9607711 DOI: 10.1007/s00482-022-00671-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/19/2022] [Accepted: 08/23/2022] [Indexed: 02/03/2023]
Abstract
Migraine is the most common neurological disorder and can be associated with a high degree of disability. In addition to non-pharmacological approaches to reduce migraine frequency, pharmacological migraine preventatives are available. Evidence-based guidelines from the German Migraine and Headache Society (DMKG), and German Society for Neurology (DGN), Austrian Headache Society (ÖKSG), and Swiss Headache Society (SKG) are available for indication and application. For therapy-relevant questions such as the duration of a pharmacological migraine prevention, no conclusions can be drawn from currently available study data. The aim of this review is to present a therapy consensus statement that integrates the current data situation and, where data are lacking, expert opinions. The resulting current recommendations on the duration of therapy for pharmacological migraine prophylaxis are shown here.
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8
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Goßrau G, Förderreuther S, Ruscheweyh R, Ruschil V, Sprenger T, Lewis D, Kamm K, Freilinger T, Neeb L, Malzacher V, Meier U, Gehring K, Kraya T, Dresler T, Schankin CJ, Gantenbein AR, Brössner G, Zebenholzer K, Diener HC, Gaul C, Jürgens TP. [Consensus statement of the migraine and headache societies (DMKG, ÖKSG, and SKG) on the duration of pharmacological migraine prophylaxis]. DER NERVENARZT 2022; 94:306-317. [PMID: 36287216 PMCID: PMC9607745 DOI: 10.1007/s00115-022-01403-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 08/23/2022] [Indexed: 11/07/2022]
Abstract
Migraine is the most common neurological disorder and can be associated with a high degree of disability. In addition to non-pharmacological approaches to reduce migraine frequency, pharmacological migraine preventatives are available. Evidence-based guidelines from the German Migraine and Headache Society (DMKG), and German Society for Neurology (DGN), Austrian Headache Society (ÖKSG), and Swiss Headache Society (SKG) are available for indication and application. For therapy-relevant questions such as the duration of a pharmacological migraine prevention, no conclusions can be drawn from currently available study data. The aim of this review is to present a therapy consensus statement that integrates the current data situation and, where data are lacking, expert opinions. The resulting current recommendations on the duration of therapy for pharmacological migraine prophylaxis are shown here.
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Affiliation(s)
- Gudrun Goßrau
- Kopfschmerzambulanz, Universitätsschmerzcentrum, Medizinische Fakultät der TU Dresden, Universitätsklinikum Dresden, Fetscherstr. 74, 01307 Dresden, Deutschland
| | - Stefanie Förderreuther
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, München, Deutschland
| | - Ruth Ruscheweyh
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, München, Deutschland ,Deutsche Migräne- und Kopfschmerzgesellschaft, Frankfurt, Deutschland ,Klinik für Psychosomatik und Psychotherapie, Technische Universität München, München, Deutschland
| | - Victoria Ruschil
- Abteilung Neurologie mit Schwerpunkt Epileptologie, Universitätsklinikum Tübingen, Tübingen, Deutschland
| | - Till Sprenger
- Deutsche Klinik für Diagnostik, DKD Helios Klinik Wiesbaden, Wiesbaden, Deutschland
| | | | - Katharina Kamm
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, München, Deutschland
| | | | - Lars Neeb
- Helios Global Health, Berlin, Deutschland ,Neurologische Klinik und Poliklinik, Institut für Public Health, Charité-Universitätsmedizin Berlin, Freie Universität Berlin und Humboldt Universität zu Berlin, Berlin, Deutschland
| | | | - Uwe Meier
- Berufsverband Deutscher Neurologen, Wulffstr. 8, 12165 Berlin, Deutschland
| | - Klaus Gehring
- Berufsverband Deutscher Nervenärzte, Wulffstr. 8, 12165 Berlin, Deutschland
| | - Torsten Kraya
- Neurologische Klinik, Krankenhaus Sankt Georg Leipzig, Leipzig, Deutschland ,Neurologische Klinik, Universitätsklinikum Halle-Saale, Halle-Saale, Deutschland
| | - Thomas Dresler
- Klinik für Psychiatrie und Psychotherapie, Tübingen Zentrum für seelische Gesundheit, Universitätsklinikum Tübingen, Tübingen, Deutschland ,LEAD Graduiertenschule & Forschungsnetzwerk, Tübingen, Tübingen, Deutschland
| | - Christoph J. Schankin
- Neurologische Klinik, Inselspital, Universitätsspital Bern, Universität Bern, Bern, Schweiz ,Universitätsspital Bern, Universität Bern, Bern, Schweiz
| | - Andreas R. Gantenbein
- Neurologie & Schmerz, ZURZACH Care, Bad Zurzach, Schweiz ,Praxis Neurologie am Untertor, Bülach, Schweiz
| | - Gregor Brössner
- Universitätsklinik für Neurologie, Medizinische Universität Innsbruck, Innsbruck, Österreich
| | - Karin Zebenholzer
- Universitätsklinik für Neurologie, Medizinische Universität Wien, Wien, Österreich
| | - Hans-Christoph Diener
- Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Medizinische Fakultät, Universität Duisburg-Essen, Essen, Deutschland
| | - Charly Gaul
- Kopfschmerzzentrum Frankfurt, Frankfurt, Deutschland
| | - Tim P. Jürgens
- Kopfschmerzzentrum Nordost, Neurologische Klinik und Poliklinik, Universitätsklinik Rostock, Rostock, Deutschland ,Neurologische Klinik, KMG Krankenhaus Güstrow, Güstrow, Deutschland
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