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Episodic Visual Snow Associated With Migraine Attacks.

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Calcitonin Gene-Related Peptide (CGRP) Antagonists and Their Use in Migraines.

Migraine is highly prevalent and associated with a large socio-economic burden in the United States. Current preventive medications have variable efficacy and their use is often limited by intolerable side effects. Calcitonin gene-related peptide (CGRP) has been identified as an integral part of migraine pathophysiology. There are currently seven CGRP antagonists under investigation, all of which are undergoing or have completed phase 3 clinical trials. Three of the investigated CGRP antagonists are approved for use within and outside of the United States. The trials have resulted in positive efficacy and safety data. The purpose of this review is to evaluate the seven CGRP antagonists and their future place in therapy.

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Subgrouping Factors influencing Migraine Intensity in Women: A Semi-automatic Methodology based on Machine Learning and Information Geometry.

Migraine is a heterogeneous condition with multiple clinical manifestations. Machine-learning algorithms permit the identification of population groups providing analytical advantages over other modeling techniques.

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Temporal changes of circadian rhythmicity in cluster headache.

To investigate the temporal changes of circadian rhythmicity in relation to the disease course in patients with cluster headache.

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Migraine with Aura as a Stroke Mimic.

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Shared Molecular Genetic Mechanisms Underlie Endometriosis and Migraine Comorbidity.

Observational epidemiological studies indicate that endometriosis and migraine co-occur within individuals more than expected by chance. However, the aetiology and biological mechanisms underlying their comorbidity remain unknown. Here we examined the relationship between endometriosis and migraine using genome-wide association study (GWAS) data. Single nucleotide polymorphism (SNP) effect concordance analysis found a significant concordance of SNP risk effects across endometriosis and migraine GWAS. Linkage disequilibrium score regression analysis found a positive and highly significant genetic correlation ( = 0.38, = 2.30 × 10) between endometriosis and migraine. A meta-analysis of endometriosis and migraine GWAS data did not reveal novel genome-wide significant SNPs, and Mendelian randomisation analysis found no evidence for a causal relationship between the two traits. However, gene-based analyses identified two novel loci for migraine. Also, we found significant enrichment of genes nominally associated ( < 0.05) with both traits ( = 9.83 × 10). Combining gene-based p-values across endometriosis and migraine, three genes, two ( of which are at novel loci, were genome-wide significant. Genes having < 0.1 for both endometriosis and migraine ( = 1.85 ×10°) were significantly enriched for biological pathways, including interleukin-1 receptor binding, focal adhesion-PI3K-Akt-mTOR-signaling, MAPK and TNF-α signalling. Our findings further confirm the comorbidity of endometriosis and migraine and indicate a non-causal relationship between the two traits, with shared genetically-controlled biological mechanisms underlying the co-occurrence of the two disorders.

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Digital Cognitive Behavioral Therapy for Insomnia in Women With Chronic Migraines.

Insomnia commonly co-occurs with chronic migraines (CM). Non-pharmacological treatments for insomnia in CM patients remain understudied. This is a proof-of-concept study, which aims to evaluate the feasibility, acceptability, and preliminary efficacy of a digital cognitive behavioral therapy for insomnia (dCBT-I) for individuals with CM and insomnia (CM-I) in the United States.

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Disability, Quality of Life, and Socioeconomic Burden of Cluster Headache: A Critical Review of Current Evidence and Future Perspectives.

To summarize the available evidence on disability, quality of life (QoL), and economic burden on societies of cluster headache (CH), and to present which tools have been used to measure these domains with indications for future research.

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A Markov chain method for counting and modelling migraine attacks.

To ensure reproducibility in research quantifying episodic migraine attacks, and identifying attack onset, a sound theoretical model of a migraine attack, paired with a uniform standard for counting them, is necessary. Many studies report on migraine frequencies-e.g. the fraction of migraine-days of the observed days-without paying attention to the number of discrete attacks. Furthermore, patients' diaries frequently contain single, migraine-free days between migraine-days, and we argue here that such 'migraine-locked days' should routinely be interpreted as part of a single attack. We tested a simple Markov model of migraine attacks on headache diary data and estimated transition probabilities by mapping each day of each diary to a unique Markov state. We explored the validity of imputing migraine days on migraine-locked entries, and estimated the effect of imputation on observed migraine frequencies. Diaries from our patients demonstrated significant clustering of migraine days. The proposed Markov chain model was shown to approximate the progression of observed migraine attacks satisfactorily, and imputing on migraine-locked days was consistent with the conceptual model for the progression of migraine attacks. Hence, we provide an easy method for quantifying the number and duration of migraine attacks, enabling researchers to procure data of high inter-study validity.

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Persistent post-traumatic headache attributed to mild traumatic brain injury: Deep phenotyping and treatment patterns.

To investigate clinical characteristics and treatment patterns in persistent post-traumatic headache attributed to mild traumatic brain injury.

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