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Shi W, Sun H, Peng W, Chen Z, Wang Q, Lin W, Ding M, Sun H, Wang X, Wang T, Wang X, Liu Y, Chen Y, Zhu G, Zhou D, Li J. A cross-sectional, multicenter survey of the prevalence and influencing factors for migraine in epilepsy. Epilepsia Open 2024; 9:1406-1415. [PMID: 38808742 PMCID: PMC11296102 DOI: 10.1002/epi4.12977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 04/27/2024] [Accepted: 05/12/2024] [Indexed: 05/30/2024] Open
Abstract
OBJECTIVES Epilepsy and migraine are common chronic neurological disease. Epidemiologic studies and shared pathophysiology and treatment suggest that these two diseases overlap. However, migraine is often underestimated among patients with epilepsy. This study aimed to evaluate the prevalence of migraine and identify the related influencing factors among adult patients with epilepsy. METHODS Adult patients with epilepsy were recruited at the outpatient epilepsy clinic of 13 tertiary hospitals in China from February to September 2022. ID Migraine questionnaire was applied to evaluate for migraine. Both univariable and multivariable logistic regression models were used to explore the influencing factors of migraine. RESULTS A total of 1326 patients with epilepsy were enrolled in this study. The prevalence of migraine among patients with epilepsy was 19.2% (254/1326). In the multivariable analysis, being female (OR = 1.451, 95% CI: 1.068-1.975; p = 0.018), focal and focal to bilateral tonic-clonic seizures (OR = 1.583, 95% CI: 1.090-2.281; p = 0.015), and current seizure attack in the last 3 months (OR = 1.967, 95% CI: 1.282-3.063; p = 0.002) were the influencing factors for migraine. However, <10% of patients with epilepsy received analgesics for migraine. SIGNIFICANCE Approximately 20% of patients with epilepsy screened positive for migraine. Being female, focal and focal to bilateral tonic-clonic seizures, and current seizure attack in the last 3 months were the influencing factors for migraine. Neurologists should pay more attention to the screening and management of the migraine among patients with epilepsy in China. PLAIN LANGUAGE SUMMARY Epilepsy and migraine are common chronic neurological disease with shared pathophysiological mechanisms and therapeutic options. However, migraine is often underestimated among patients with epilepsy. This multicenter study aimed to evaluate the prevalence of migraine and current status of treatment. In this study, approximately 20% of patients with epilepsy screened positive for migraine. Female, focal and focal to bilateral tonic-clonic seizures, and current seizure attack in the last 3 months were identified as independent influencing factors for migraine. Despite the high prevalence, the treatment for migraine was not optimistic, neurologists should pay more attention to the screening and management of migraine.
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Affiliation(s)
- Wenyan Shi
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
| | - Hanlin Sun
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
| | - Wei Peng
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
| | - Ziyi Chen
- Department of Neurology, the First Affiliated HospitalSun Yat‐Sen UniversityGuangzhouChina
| | - Qun Wang
- Department of NeurologyBeijing Tiantan Hospital Affiliated to Capital Medical UniversityBeijingChina
| | - Weihong Lin
- Department of NeurologyThe First Hospital of Jilin UniversityChangchunChina
| | - Meiping Ding
- Department of NeurologyThe Second Affiliated Hospital of Zhejiang UniversityHangzhouChina
| | - Hongbin Sun
- Department of NeurologySichuan Provincial People's HospitalChengduChina
| | - Xiangqing Wang
- Department of NeurologyChinese People's Liberation Army (PLA) General HospitalBeijingChina
| | - Tiancheng Wang
- Department of NeurologyLanzhou University Second HospitalLanzhouChina
| | - Xuefeng Wang
- Department of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Yonghong Liu
- Department of NeurologyAir Force Medical University Xijing HospitalXi'AnChina
| | - Yangmei Chen
- Department of NeurologyThe Second Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Guoxing Zhu
- Department of Neurology, Huashan HospitalFudan UniversityShanghaiChina
| | - Dong Zhou
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
| | - Jinmei Li
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
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Momen AA, Jelodar G, Azizimalamiri R. Migraine and Epilepsy in Children: A Narrative Review of Comorbidity and Similar Treatment Option. IRANIAN JOURNAL OF CHILD NEUROLOGY 2024; 18:9-20. [PMID: 38988846 PMCID: PMC11231672 DOI: 10.22037/ijcn.v18i3.44282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/13/2024] [Indexed: 07/12/2024]
Abstract
Migraine and epilepsy belong to the category of chronic paroxysmal neurological disorders and share numerous clinical features, as well as potential treatment options. This narrative review emphasizes the similarities between pediatric migraine and epilepsy, exploring epidemiology, pathophysiology, genetics, clinical presentation, and pharmacology. Although various syndromes exhibit symptoms common to both conditions, further research is needed to clarify the underlying pathophysiological and genetic connections contributing to their coexistence. Prophylactic medications used in the management of both migraines and epilepsy exhibit similar pharmacological characteristics. The review assesses treatment strategies for epilepsy and migraines, emphasizing antiseizure medications alongside nonpharmacological interventions like ketogenic diet, supplements, and vagal nerve stimulation. It aims to highlight how these interventions, originally targeted for epilepsy, may also show promise in preventing migraines. The urgent need for further randomized, controlled clinical trials investigating both pharmacological and nonpharmacological interventions for treating both disorders is emphasized, aiming to pave the way for innovative therapeutic strategies.
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Affiliation(s)
- Ali Akbar Momen
- Department of Pediatric Neurology, Golestan Medical, Educational, and Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Gholamreza Jelodar
- Department of Pediatric Neurology, Golestan Medical, Educational, and Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Reza Azizimalamiri
- Department of Pediatric Neurology, Golestan Medical, Educational, and Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Sudat SEK, Jacobson AS, Avins AL, Lipton RB, Pressman AR. A population-health approach to characterizing migraine by comorbidity: Results from the Mindfulness and Migraine Cohort Study. Cephalalgia 2022; 42:1255-1264. [PMID: 35642092 PMCID: PMC9872270 DOI: 10.1177/03331024221104180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The heterogeneity of migraine has been reported extensively, with identified subgroups usually based on symptoms. Grouping individuals with migraine and similar comorbidity profiles has been suggested, however such segmentation methods have not been tested using real-world clinical data. OBJECTIVE To gain insights into natural groupings of patients with migraine using latent class analysis based on electronic health record-determined comorbidities. METHODS Retrospective electronic health record data analysis of primary-care patients at Sutter Health, a large open healthcare system in Northern California, USA. We identified migraine patients over a five-year time period (2015-2019) and extracted 29 comorbidities. We then applied latent class analysis to identify comorbidity-based natural subgroups. RESULTS We identified 95,563 patients with migraine and found seven latent classes, summarized by their predominant comorbidities and population share: fewest comorbidities (61.8%), psychiatric (18.3%), some comorbidities (10.0%), most comorbidities - no cardiovascular (3.6%), vascular (3.1%), autoimmune/joint/pain (2.2%), and most comorbidities (1.0%). We found minimal demographic differences across classes. CONCLUSION Our study found groupings of migraine patients based on comorbidity that have the potential to be used to guide targeted treatment strategies and the development of new therapies.
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Affiliation(s)
- Sylvia EK Sudat
- Sutter Health Center for Health Systems Research, Walnut Creek, CA, USA
| | - Alice S Jacobson
- Sutter Health Center for Health Systems Research, Walnut Creek, CA, USA
| | - Andrew L Avins
- Kaiser Permanente Division of Research, Oakland, CA, USA,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA USA,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Richard B Lipton
- Albert Einstein College of Medicine and the Montefiore Headache Center, Bronx, NY, USA
| | - Alice R Pressman
- Sutter Health Center for Health Systems Research, Walnut Creek, CA, USA,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA USA,PRECISIONheor, Boston, MA, USA
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Nuottamo ME, Häppölä P, Artto V, Hautakangas H, Pirinen M, Hiekkalinna T, Ellonen P, Lepistö M, Hämäläinen E, Siren A, Lehesjoki AE, Kallela M, Palotie A, Kaunisto MA, Wessman M. NCOR2 is a novel candidate gene for migraine-epilepsy phenotype. Cephalalgia 2022; 42:631-644. [PMID: 35166138 DOI: 10.1177/03331024211068065] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
HYPOTHESIS To identify genetic factors predisposing to migraine-epilepsy phenotype utilizing a multi-generational family with known linkage to chr12q24.2-q24.3. METHODS We used single nucleotide polymorphism (SNP) genotyping and next-generation sequencing technologies to perform linkage, haplotype, and variant analyses in an extended Finnish migraine-epilepsy family (n = 120). In addition, we used a large genome-wide association study (GWAS) dataset of migraine and two biobank studies, UK Biobank and FinnGen, to test whether variants within the susceptibility region associate with migraine or epilepsy related phenotypes in a population setting. RESULTS The family showed the highest evidence of linkage (LOD 3.42) between rs7966411 and epilepsy. The haplotype shared among 12 out of 13 epilepsy patients in the family covers almost the entire NCOR2 and co-localizes with one of the risk loci of the recent GWAS on migraine. The haplotype harbors nine low-frequency variants with potential regulatory functions. Three of them, in addition to two common variants, show nominal associations with neurological disorders in either UK Biobank or FinnGen. CONCLUSION We provide several independent lines of evidence supporting association between migraine-epilepsy phenotype and NCOR2. Our study suggests that NCOR2 may have a role in both migraine and epilepsy and thus would provide evidence for shared pathophysiology underlying these two diseases.
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Affiliation(s)
- Marjo Eveliina Nuottamo
- Folkhälsan Research Center, Helsinki, Finland.,Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
| | - Paavo Häppölä
- Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
| | - Ville Artto
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Finland
| | - Heidi Hautakangas
- Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
| | - Matti Pirinen
- Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland.,Department of Mathematics and Statistics, 3835University of Helsinki, University of Helsinki, Helsinki, Finland.,Department of Public Health, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
| | - Tero Hiekkalinna
- Genomics and Biobank Unit, Department of Public Health Solutions, 3837National Institute for Health and Welfare, National Institute for Health and Welfare, Helsinki, Finland
| | - Pekka Ellonen
- Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
| | - Maija Lepistö
- Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
| | - Eija Hämäläinen
- Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
| | | | - Auli Siren
- Child Neurology Outpatient Clinic, Kanta-Häme Central Hospital, Hämeenlinna, Finland
| | - Anna-Elina Lehesjoki
- Folkhälsan Research Center, Helsinki, Finland.,Department of Medical and Clinical Genetics, Medicum, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
| | - Mikko Kallela
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland.,Massachusetts General Hospital, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mari Anneli Kaunisto
- Institute for Molecular Medicine Finland FIMM, HiLIFE, 3835University of Helsinki, University of Helsinki, Helsinki, Finland
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Birk D, Noachtar S, Kaufmann E. Kopfschmerz bei Parietal- und Okzipitallappenepilepsien. ZEITSCHRIFT FÜR EPILEPTOLOGIE 2021; 34:86-92. [DOI: 10.1007/s10309-020-00381-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/02/2020] [Indexed: 08/30/2023]
Abstract
ZusammenfassungEpilepsiepatienten leiden überdurchschnittlich häufig unter Kopfschmerzen. Dies gilt insbesondere für Patienten mit idiopathisch generalisierten und parietookzipitalen Epilepsien. Die Häufigkeit des gemeinsamen Auftretens von Kopfschmerzen und Epilepsie überschreitet dabei die rechnerische Koinzidenz, sodass von einer Komorbidität beider Syndrome auszugehen ist. Bestärkt wird diese Hypothese durch überlappende genetische Veränderungen sowie gemeinsame pathophysiologische Mechanismen. Bis zu 62 % der Patienten mit z. B. Parietal- und Okzipitallappenepilepsie (POLE) geben Kopfschmerzen an. Diese treten v. a. nach dem Anfall (postiktal) auf und manifestieren sich am häufigsten als Migräne-ähnlicher Kopfschmerz oder Spannungskopfschmerz. Seltener kommt es zu Kopfschmerzen vor (periiktal), während (iktal) oder zwischen (interiktal) epileptischen Anfällen. Bei transienten neurologischen Ausfallsymptomen mit begleitenden Kopfschmerzen ist differenzialdiagnostisch neben der Migräne an vaskuläre Ereignisse wie Synkopen oder eine transiente ischämische Attacke zu denken.
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Nieboer D, Sorrentino P, Hillebrand A, Heymans MW, Twisk JWR, Stam CJ, Douw L. Brain Network Integration in Patients with Migraine: A Magnetoencephalography Study. Brain Connect 2020; 10:224-235. [PMID: 32397732 DOI: 10.1089/brain.2019.0705] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Migraine is a common disorder with high social and medical impact. Patients with migraine have a much higher chance of experiencing headache attacks compared with the general population. Recent neuroimaging studies have confirmed that pathophysiology in the brain is not only limited to the moment of the attack but is also present in between attacks, the interictal phase. In this study, we hypothesized that the topology of functional brain networks is also different in the interictal state, compared with people who are not affected by migraine. We also expected that the level of network disturbances scales with the number of years people have suffered from migraine. Functional connectivity between 78 cortical brain regions was estimated for source-level magnetoencephalography data by calculating the phase lag index, in five frequency bands (delta-beta), and compared between healthy controls (n = 24) and patients who had been suffering from migraine for longer than 6 years (n = 12) or shorter than 6 years (n = 12). Moreover, the topology of the functional networks was characterized using the minimum spanning tree. The migraine groups did not differ from each other in functional connectivity. However, the network topology was different compared with healthy controls. The results were frequency specific, and higher average nodal betweenness centrality was specifically evident in higher frequency bands in patients with longer disease duration, while an opposite trend was present for lower frequencies. This study shows that patients with migraine have a different network topology in the resting state compared with healthy controls, whereby specific brain areas have altered topological roles in a frequency-specific manner. Some alterations appear specifically in patients with long-term migraine, which might show the long-term effects of the disease.
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Affiliation(s)
- Dagmar Nieboer
- Department of Methodology and Applied Biostatistics, Faculty of Beta Science, VU University Amsterdam, Amsterdam, The Netherlands
| | - Pierpaolo Sorrentino
- Department of Clinical Neurophysiology and MEG Centre, Amsterdam Neuroscience, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.,Istituto di Diagnosi e Cura Hermitage-Capodimonte, Naples, Italy.,Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy.,Deparment of Engineering, University of Parthenope, Naples, Italy
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Centre, Amsterdam Neuroscience, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands
| | - Martijn W Heymans
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, Netherlands
| | - Jos W R Twisk
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, Netherlands
| | - Cornelis J Stam
- Department of Clinical Neurophysiology and MEG Centre, Amsterdam Neuroscience, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands
| | - Linda Douw
- Department of Anatomy and Neurosciences, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.,Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging/Massachusetts General Hospital, Boston, Massachusetts, USA
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Abstract
Headache and seizures are two of the most common complaints seen in the field of pediatric neurology with headache being number one. Both these conditions may coexist. Where the difficulty begins is when the symptoms are not clear cut in making a diagnosis, and conditions are possible as either an atypical seizure or migraine variant. What further complicates matters is the fact that there are many underlying neurologic conditions that carry with them a higher likelihood of developing both headaches and seizures, making each a distinct possibility when obtaining a history from a parent about unusual spells. Although differentiating between seizure and headache may not be easy, with a focused yet thorough history and appropriate use of investigative tools, it can be done. Coming to the correct diagnosis is only the start; once seizures and or headaches have been appropriately diagnosed then the real challenge begins and that is finding a way to successfully treat the headaches and seizures. Within pediatric neurology, the acute options tend to be more diagnosis specific whereas the prophylactic ones may overlap and treat both headaches and seizures. In the following review, we will discuss the epidemiology of pediatric headaches and seizures, the overlap between these 2 conditions in diagnosis, as well as how to tell them apart, and the treatment options and prognosis of both common neurologic disorders in children.
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Affiliation(s)
- Christopher B Oakley
- Departments of Neurology and Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
| | - Eric H Kossoff
- Departments of Neurology and Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD
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Abstract
Comorbid conditions frequently occur in pediatric headaches and may significantly affect their management. Comorbidities that have been associated with pediatric headaches include attention-deficit or hyperactivity disorder, autism, developmental disabilities, depression, anxiety, epilepsy, obesity, infantile colic, atopic disorders, inflammatory bowel disease, and irritable bowel syndrome. The goal of this article is to review these comorbidities associated with pediatric headache, thereby empowering child neurologists to identify common triggers and tailor management strategies that address headache and its comorbidities.
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Haut SR, Lipton RB. Migraine and epilepsy: progress towards preemptive therapy. Epilepsy Behav 2013; 28:241-2. [PMID: 23731571 DOI: 10.1016/j.yebeh.2013.04.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2013] [Accepted: 04/28/2013] [Indexed: 11/17/2022]
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12
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Bauer PR, Carpay JA, Terwindt GM, Sander JW, Thijs RJ, Haan J, Visser GH. Headache and Epilepsy. Curr Pain Headache Rep 2013; 17:351. [DOI: 10.1007/s11916-013-0351-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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13
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Autonomic epileptic seizures, autonomic effects of seizures, and SUDEP. Epilepsy Behav 2013; 26:375-85. [PMID: 23099286 DOI: 10.1016/j.yebeh.2012.08.020] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2012] [Accepted: 08/11/2012] [Indexed: 12/19/2022]
Abstract
Many generalized tonic-clonic seizures are accompanied by profound autonomic changes. However, autonomic seizures and autonomic status epilepticus can also be seen with specific electroclinical syndromes (Panayiotopoulos syndrome), etiologies, and localizations. Such autonomic symptoms may impact cardiorespiratory function. While it is likely that several factors contribute to SUDEP, further study of both ictal respiratory and cardiac changes and underlying neuroanatomical mechanisms involved in autonomic seizure semiology are likely to provide important data to improve our understanding of the pathophysiology of this devastating condition. This paper will review the association between autonomic symptoms and epileptic seizures and will highlight the work of three young investigators. Drs. Lisa Bateman and Brian Moseley will review their work on cardiorespiratory effects of recorded seizures and how this assists in our understanding of SUDEP. Dr. John Millichap will review autonomic seizures and autonomic dysfunctions related to childhood epilepsy and will discuss the importance of expanded research efforts in this field.
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14
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Rodriguez-Sainz A, Pinedo-Brochado A, Sánchez-Menoyo JL, Ruiz-Ojeda J, Escalza-Cortina I, Garcia-Monco JC. Migraine, Stroke and Epilepsy: Underlying and Interrelated Causes, Diagnosis and Treatment. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2013; 15:322-34. [DOI: 10.1007/s11936-013-0236-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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15
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Winawer MR, Connors R. Evidence for a shared genetic susceptibility to migraine and epilepsy. Epilepsia 2013; 54:288-95. [PMID: 23294289 DOI: 10.1111/epi.12072] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2012] [Indexed: 12/20/2022]
Abstract
PURPOSE Although epilepsy and migraine are known to co-occur within individuals, the contribution of a shared genetic susceptibility to this comorbidity remains unclear. We investigated the hypothesis of shared genetic effects on migraine and epilepsy in the Epilepsy Phenome/Genome Project (EPGP) cohort. METHODS We studied prevalence of a history of migraine in 730 EPGP participants aged ≥ 12 years with nonacquired focal epilepsy (NAFE) or generalized epilepsy (GE) from 501 families containing two or more individuals with epilepsy of unknown cause. Information on migraine without aura (MO) and migraine with aura (MA) was collected using an instrument validated for individuals ≥ 12 years. Because many individuals have both MO and MA, we considered two nonoverlapping groups of individuals with migraine: those who met criteria for MA in any of their headaches (MA), and those who did not ("MO-only"). EPGP participants were interviewed about the history of seizure disorders in additional nonenrolled family members. We evaluated associations of migraine prevalence in enrolled subjects with a family history of seizure disorders in additional nonenrolled relatives, using generalized estimating equations to control for the nonindependence of observations within families. KEY FINDINGS Prevalence of a history of MA (but not MO-only) was significantly increased in enrolled participants with two or more additional affected first-degree relatives. SIGNIFICANCE These findings support the hypothesis of a shared genetic susceptibility to epilepsy and MA.
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Affiliation(s)
- Melodie R Winawer
- GH Sergievsky Center, Columbia University, New York, New York 10032, USA.
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Kasteleijn-Nolst Trenité D, Parisi P. Migraine in the borderland of epilepsy: “Migralepsy” an overlapping syndrome of children and adults? Epilepsia 2012; 53 Suppl 7:20-5. [DOI: 10.1111/j.1528-1167.2012.03711.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Abstract
An important genetic component of migraine was systematically established by epidemiological studies in the 1990s. Over the past 15 years, significant progress has been made in unraveling the genetic basis and pathophysiological mechanisms of familial hemiplegic migraine, a rare and severe autosomal-dominant subtype of migraine with aura. Three different causative genes (CACNA1A, ATP1A2 and SCN1A), all of which are involved in cerebral ion translocation, have been identified. Functional studies and mouse models have shown that mutations in these genes, by different mechanisms, cause a disturbed cerebral glutamate homeostasis and, thus, increase susceptibility to cortical spreading depression, the likely correlate of migraine aura. More recently, genome-wide association studies have, for the first time, detected robust risk variants associated with the more common, genetically complex types of migraine, which has generated new perspectives for genetic research in migraine. This review summarizes the current knowledge about migraine genetics, with a focus on both familial hemiplegic migraine and recent results of genome-wide association studies.
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Affiliation(s)
- Tobias M Freilinger
- Department of Neurology, Klinikum Großhadern der Ludwig-Maximilians-Universität München, Marchioninistr, 15, 81377 München, Germany and Institute of Stroke & Dementia Research, Ludwig-Maximilians-Universität München, Munich, Germany
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18
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Millichap JG. Shared Genetic Etiology for Migraine and Epilepsy. Pediatr Neurol Briefs 2012. [DOI: 10.15844/pedneurbriefs-26-2-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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