Incidence and prevalence of headache in influenza: A 2010-2021 surveillance-based study.

BACKGROUND AND PURPOSE: Influenza is a common cause of acute respiratory infection, with headache being one of the symptoms included in the European Commission case definition. The prevalence of headache as a symptom of influenza remains unknown. We aimed to describe the incidence and prevalence of headache in patients with influenza. METHODS: All consecutive patients who met the definition criteria of influenza-like illness during the influenza seasons 2010-2011 through 2021-2022 were included. The seasonal cumulative incidence of influenza per 1000 patients at risk and the prevalence of headache as an influenza symptom were calculated, including the 95% confidence intervals (CIs). Subgroup analyses were done based on patients' sex, age group, microbiological confirmation, vaccination status, and influenza type/subtype/lineage. RESULTS: During the study period, 8171 patients were eligible. The incidence of headache in the context of influenza varied between 0.24 cases per 1000 patients (season 2020-2021) and 21.69 cases per 1000 patients (season 2017-2018). The prevalence of headache was 66.1% (95% CI = 65.1%-67.1%), varying between 49.6% (season 2021-2022) and 80.1% (season 2010-2011). The prevalence of headache was higher in women (67.9% vs. 65.7%, p = 0.03) and higher in patients between 15 and 65 years old. Headache was more prevalent in patients infected with B subtypes than A subtypes (68.7% vs. 56.9%, p < 0.001). There were no notable differences regarding vaccination status or microbiological confirmation of the infection. CONCLUSIONS: Headache is a common symptom in patients with influenza, with a prevalence higher than that observed in other viral infections.

CandeSpartan Study: Candesartan Spanish Response-prediction and Tolerability study in migraine.

INTRODUCTION: Effectiveness of candesartan in migraine prevention is supported by two randomized controlled trials. We aimed to assess the effectiveness, tolerability, and response predictors of candesartan in the preventive treatment of migraine. METHODS: Observational, multicenter, prospective cohort study. The 50%, 75% and 30% responder rates, between weeks 8-12 and 20-24, were compared with the baseline. Treatment emergent adverse effects were systematically evaluated. Response predictors were estimated by multivariate regression models. RESULTS: Eighty-six patients were included, 79.1% females, aged 39.5 (inter-quartile range [IQR] 26.3-50.3), with chronic migraine (43.0%), medication overuse headache (55.8%) and a median of two (inter-quartile range: 0.75-3) prior preventive treatments. At baseline patients had 14 (10-24) headache and 8 (5-11) migraine days per month. The 30%, 50% and 75% responder rates were 40%, 34.9% and 15.1% between weeks 8-12, and 48.8%, 36%, and 18.6% between weeks 20-24. Adverse effects were reported by 30 (34.9%) and 13 (15.1%) patients between weeks 0-12 and 12-24, leading to discontinuation in 15 (17.4%) patients. Chronic migraine, depression, headache days per month, medication overuse headache, and daily headache at baseline predicted the response between weeks 20-24. CONCLUSION: Candesartan effectiveness and tolerability in migraine prevention was in line with the clinical trials' efficacy.Trial registration: The study protocol is registered in ClinicalTrials.gov (NCT04138316).

Visual snow syndrome in patients with migraine: widening the clinical spectrum of the syndrome with permanent and episodic manifestations.

PURPOSE: Migraine is the comorbidity most frequently associated with visual snow syndrome (VSS), but the prevalence of VSS in patients with migraine (PWM) has not been studied. Our objective was to evaluate the frequency of VSS in PWM and to analyze if symptoms of VSS happened in a permanent or episodic manner (eVSS) in this population. METHODS: We conducted a multicenter observational cross-sectional study. PWM was recruited from headache units, and a survey about the presence of visual snow symptoms was administered. The frequency and characteristics of patients that met current VSS criteria were analyzed. Demographic and clinical features of patients with VSS, eVSS, and PWM with no visual snow were compared. RESULTS: A total of 217 PWM were included. Seventeen patients (7.8%) met the VSS criteria. VSS patients had visual aura more frequently (58.8% vs. 31%; p = 0.019) and a higher MIDAS score (96.6 vs. 47.7; p = 0.014). Fifty-eight PWM (26.7%) showed visual snow and associated features in an episodic way and were classified as eVSS. Patients with VSS showed a tendency towards a higher frequency of visual symptoms than patients with eVSS (p > 0.05). No statistically significant differences in sociodemographic characteristics and comorbid conditions were found between VSS and eVSS. CONCLUSION: The prevalence of VSS in PWM may be higher than that described for the general population. Some PWM may present similar visual symptoms to patients with VSS but in an episodic manner. Our study reinforces the observation that the clinical spectrum of visual snow is likely to be broader than previously described.

Societal and economic burden of migraine in Spain: results from the 2020 National Health and Wellness Survey.

BACKGROUND: The burden of migraine goes beyond the pain and associated symptoms. We aimed to describe the impact of migraine in healthcare resource utilization (HCRU), work productivity, and mood disorders, as well as its economic cost. METHODS: Case-control study nested in a cross-sectional analysis of patient-reported data collected between 30/12/2019 and 20/04/2020 as part of the National Health and Wellness Survey, from respondents located in Spain. Adults (≥ 18 years old) who reported a physician diagnosis of migraine and ≥ 1 monthly headache days (MHD) in the previous 30 days were included. HCRU, health-related quality-of-life, depression scores, work and activity impairment, and the associated direct and indirect costs were assessed for four cohorts of migraine patients, according to the frequency of headache (MHD: 1-3, 4-7, 8-14, ≥ 15) and compared to a no-migraine control, matched to migraine cases by a propensity score based on demographic and clinical variables. RESULTS: The survey was completed by 595 people with active migraine, of whom 461 (77.4%) experienced < 8 MHDs and 134 (22.6%) ≥ 8 MHDs, and 1,190 non-migraine matched controls. Migraine patients presented worse mental and physical health functioning (SF-12 MCS: 41.9 vs. 44.7, p < 0.001; SF-12 PCS: 48.6 vs. 51.5, p < 0.001), worse self-reported health (EQ-5D VAS: 65.8 vs. 73.5, p < 0.001), more severe depression (PHQ-9: 8.9 vs. 6.1, p < 0.001), and higher overall work impairment (WPAI: 41.4 vs. 25.5, p < 0.001). People with migraine had higher HCRU, twice higher hospitalization rates (17.0% vs. 8.3%, p < 0.001) and 1.6 higher emergency room (ER) visit rates (51.4% vs. 31.2%, p < 0.001). Having migraine translated into higher annual costs with HCRU (€894 vs. €530) and productivity losses (€8,000 vs. €4,780) per person. Respondents with more MHDs presented worse outcomes and higher costs but suffering from 1-3 MHD also increased costs by 51.3%. CONCLUSIONS: Having migraine not only causes a massive impact on patients' quality of life and ability to work, but it also generates considerable economic costs for society. In Spain, having migraine was associated to 1.7 higher costs per patient. The clinical and economic burden increases with the frequency of headaches but is higher than controls even in patients suffering from 1-3 MHD.

Evaluation of the concomitant use of prophylactic treatments in patients with migraine under anti-calcitonin gene-related peptide therapies: The PREVENAC study.

BACKGROUND AND PURPOSE: Anti-calcitonin gene-related peptide (CGRP) therapies are recent preventive therapies approved for both episodic and chronic migraine. One of the measures of effectiveness is the withdrawal of other preventive treatments. The objective of this study is to quantify the impact of anti-CGRP drugs in concomitant preventive treatment in patients with migraine. METHODS: This was an observational, retrospective, multicenter cohort study with patients from nine national headache units. Patients with migraine undergoing treatment for at least 6 months with anti-CGRP antibodies, who were initially associated with some preventive treatment (oral and/or onabotulinumtoxinA) were included. Demographic and clinical variables were collected, as well as variables related to headache. Differences according to withdrawal or nonwithdrawal were evaluated. RESULTS: A total of 408 patients were included, 86.52% women, 48.79 (SD = 1.46) years old. Preventive treatment was withdrawn in 43.87% (179/408), 20.83% partially and 23.04% totally. In 27.45% (112/408), it was maintained exclusively due to comorbidity and in 28.6% (117/408) due to partial efficacy. The most frequent time of withdrawal was between 3 and 5 months after the start of treatment. The baseline characteristics associated with nonwithdrawal were comorbidities: insomnia, hypertension and obesity, chronic migraine, and medication overuse. In the multivariate analysis, the absence of high blood pressure, a greater number of preventive treatments at the start, and a lower number of migraine days/month after anti-CGRP treatment were independently associated with withdrawal of the treatment (p < 0.05). CONCLUSIONS: Anti-CGRP antibodies allow the withdrawal of associated preventive treatment in a significant percentage of patients, which supports its effectiveness in real-life conditions.

Factors associated to the presence of headache in patients with influenza infection and its consequences: a 2010-2020 surveillance-based study.

Headache is a common symptom of influenza infection; however, its causes and consequences remain uncertain. In this manuscript, we analyzed which demographic and clinical factors were associated with the presence of headache during the course of influenza infection and whether patients with headache had a different prognosis, evaluated by need of hospitalization, sick leave or school absenteeism. The influence study (NCT05704335) was an observational study that analyzed data routinely collected from the Health Sentinel Network between 2010 and 2020. During the study period, 7832 cases were considered, among which, 5275 (67.4%) reported headache. The presence of headache was independently associated with myalgia (2.753; 95%CI: 2.456-3.087, P < 0.001), asthenia (OR: 1.958; 95%CI: 1.732-2.214, P < 0.001), shivering (OR: 1.925; 95%CI: 1.718-2.156, P < 0.001), nasopharyngeal erythema (OR: 1.505; 95%CI: 1.293-1.753, P < 0.001), fever (OR: 1.469; 95%CI: 1.159-1.861; P = 0.001), sudden onset of symptoms (OR: 1.380; 95%CI: 1.120-1.702, p = 0.004), female sex (OR: 1.134; 95%CI: 1.023-1.257, P = 0.018), and gastrointestinal symptoms (OR: 1.169; 95%CI: 1.039-1.315; P = 0.01). Patients with headache had a sex and age adjusted lower odds of being referred to the hospital (OR: 0.463; 95%CI: 0.264-0.812, P = 0.007) and a higher odd of having a sick leave and/or school absenteeism (absenteeism (OR: 1.342; 95%CI: 1.190-1.514, P < 0.001). In conclusion, the presence of headache seems associated with symptoms caused by the innate immune response. These findings support a headache pathophysiology linked with the innate immune response. Due to the potential negative consequences and its treatable nature, clinicians should systematically evaluate it and, whenever necessary, treat it too.

RE-START: Exploring the effectiveness of anti-calcitonin gene-related peptide resumption after discontinuation in migraine.

BACKGROUND AND PURPOSE: According to the latest European guidelines, discontinuation of monoclonal antibodies against calcitonin gene-related peptide (anti-CGRP MAb) may be considered after 12-18 months of treatment. However, some patients may worsen after discontinuation. In this study, we assessed the response following treatment resumption. METHODS: This was a prospective study conducted in 14 Headache Units in Spain. We included patients with response to anti-CGRP MAb with clinical worsening after withdrawal and resumption of treatment. Numbers of monthly migraine days (MMD) and monthly headache days (MHD) were obtained at four time points: before starting anti-CGRP MAb (T-baseline); last month of first treatment period (T-suspension); month of restart due to worsening (T-worsening); and 3 months after resumption (T-reintroduction). The response rate to resumption was calculated. Possible differences among periods were analysed according to MMD and MHD. RESULTS: A total of 360 patients, 82% women, with a median (interquartile range [IQR]) age at migraine onset of 18 (12) years. The median (IQR) MHD at T-baseline was 20 (13) and MMD was 5 (6); at T-suspension, the median (IQR) MHD was 5 (6) and MMD was 4 (5); at T-worsening, the median (IQR) MHD was 16 (13) and MMD was 12 (6); and at T-reintroduction, the median (IQR) MHD was 8 (8) and MHD was 5 (5). In the second period of treatment, a 50% response rate was achieved by 57.4% of patients in MHD and 65.8% in MMD. Multivariate models showed significant differences in MHD between the third month after reintroduction and last month before suspension of first treatment period (p < 0.001). CONCLUSION: The results suggest that anti-CGRP MAb therapy is effective after reintroduction. However, 3 months after resumption, one third of the sample reached the same improvement as after the first treatment period.

Prevalence and Trajectories of Post-COVID-19 Neurological Manifestations: A Systematic Review and Meta-Analysis.

INTRODUCTION: The aim of this systematic review and meta-analysis was to evaluate the prevalence of thirteen neurological manifestations in people affected by COVID-19 during the acute phase and at 3, 6, 9 and 12-month follow-up time points. METHODS: The study protocol was registered with PROSPERO (CRD42022325505). MEDLINE (PubMed), Embase, and the Cochrane Library were used as information sources. Eligible studies included original articles of cohort studies, case-control studies, cross-sectional studies, and case series with ≥5 subjects that reported the prevalence and type of neurological manifestations, with a minimum follow-up of 3 months after the acute phase of COVID-19 disease. Two independent reviewers screened studies from January 1, 2020, to June 16, 2022. The following manifestations were assessed: neuromuscular disorders, encephalopathy/altered mental status/delirium, movement disorders, dysautonomia, cerebrovascular disorders, cognitive impairment/dementia, sleep disorders, seizures, syncope/transient loss of consciousness, fatigue, gait disturbances, anosmia/hyposmia, and headache. The pooled prevalence and their 95% confidence intervals were calculated at the six pre-specified times. RESULTS: 126 of 6,565 screened studies fulfilled the eligibility criteria, accounting for 1,542,300 subjects with COVID-19 disease. Of these, four studies only reported data on neurological conditions other than the 13 selected. The neurological disorders with the highest pooled prevalence estimates (per 100 subjects) during the acute phase of COVID-19 were anosmia/hyposmia, fatigue, headache, encephalopathy, cognitive impairment, and cerebrovascular disease. At 3-month follow-up, the pooled prevalence of fatigue, cognitive impairment, and sleep disorders was still 20% and higher. At six- and 9-month follow-up, there was a tendency for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia, and headache to further increase in prevalence. At 12-month follow-up, prevalence estimates decreased but remained high for some disorders, such as fatigue and anosmia/hyposmia. Other neurological disorders had a more fluctuating occurrence. DISCUSSION: Neurological manifestations were prevalent during the acute phase of COVID-19 and over the 1-year follow-up period, with the highest overall prevalence estimates for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia, and headache. There was a downward trend over time, suggesting that neurological manifestations in the early post-COVID-19 phase may be long-lasting but not permanent. However, especially for the 12-month follow-up time point, more robust data are needed to confirm this trend.

Health equity, care access and quality in headache - part 1.

Current definitions of migraine that are based mainly on clinical characteristics do not account for other patient's features such as those related to an impaired quality of life, due to loss of social life and productivity, and the differences related to the geographical distribution of the disease and cultural misconceptions which tend to underestimate migraine as a psychosocial rather than neurobiological disorder.Global differences definition, care access, and health equity for headache disorders, especially migraine are reported in this paper from a collaborative group of the editorial board members of the Journal of Headache and Pain. Other components that affect patients with migraine, in addition to the impact promoted by the migraine symptoms such as stigma and social determinants, are also reported.

Effectiveness, tolerability, and response predictors of preventive anti-CGRP mAbs for migraine in patients over 65 years old: a multicenter real-world case-control study.

OBJECTIVE: To evaluate clinical characteristics, effectiveness, and tolerability of preventive anti- calcitonin gene-related peptide (CGRP) monoclonal antibodies (mAbs) in the elderly. Anti-CGRP mAbs have demonstrated efficacy and safety in patients with migraine although there is limited information regarding the elderly. DESIGN: We performed a multicenter case-control study of cases (patients over 65 years old) and controls (sex-matched patients under 55 years old) with migraine receiving anti-CGRP mAbs. METHODS: We included the demographic characteristics, effectiveness-reduction in the number of monthly headache days (MHD) and monthly migraine days (MMD), 30%, 50%, and 75% responder rates-and treatment emergent adverse events (TEAEs). The primary endpoint was the 50% response rate regarding MHD at weeks 20-24; exploratory 50% response predictors in the elderly were evaluated. RESULTS: In total, 228 patients were included: 114 cases , 114 controls-. Among cases 84.2% (96/114) were women, 79.8% (91/114) CM; mean age of cases 70.1 years old (range: 66-86); mean age of controls was 42.9 years old(range: 38-49). Cases had a higher percentage of vascular risk factors (P < .05),older age of onset (P < .001) and more reported prior preventive treatments (P < .001). Regarding effectiveness in cases, 50% response rate was achieved by 57.5% (42/73) at 20-24 weeks, with lower reduction in the MHD at 8-12 weeks (5 [7.2], 8 [9.1]; P = .001) and a higher reduction in MMD at 20-24 weeks (10.7 [9.1], 9.2 [7.7]; P = .04) compared to the control group. The percentage of TEAEs was similar in the 2 groups. Diagnosis of episodic migraine (EM) (P = .03) and lower number of MHD at baseline (P = .001) were associated with a 50% response in the elderly in univariate analysis. CONCLUSIONS: Our study provides real world evidence of effectiveness and safety of anti-CGRP mAbs for migraine in patients without upper age-limit and possible predictors of anti-CGRP response in the elderly.

InfluenCEF study: Clinical phenotype and duration of headache attributed to influenza infection.

INTRODUCTION: Headache is a frequent symptom of infections. We aimed to characterize the clinical phenotype and duration of headache attributed to influenza infection. METHODS: Prospective cohort study done in 53 primary care centers between January and April 2023. Patients were included if they had a confirmed influenza diagnosis, were older than 15 years and had a new-onset headache. Patients' demographics, prior medical history, headache phenotype and duration, associated symptoms and patients' outcomes were assessed. The International Classification of Headache Disorders criteria for headache attributed to a systemic viral infection, migraine and tension-type headache were assessed. RESULTS: Of the 478 patients 75 fulfilled eligibility criteria. The mean age was 43, 56% were men, and 27% had a prior headache history. The headache phenotype was a bilateral headache (52%), with frontal topography (48%), pressing quality (61%), moderate intensity, rhinorrhea (79%), nasal congestion (76%), and photophobia (59%). All patients fulfilled headache attributed to acute systemic viral infection criteria, 43% fulfilled migraine criteria and 31% tension-type headache criteria. The median duration of the headache was four (Inter-quartile range: two-six) days. CONCLUSION: The clinical phenotype of headache attributed to influenza infection was similar to other infections, with more pronounced cranial autonomic symptoms. The headache was an early symptom and was self-limited within a few days.Trial Registration: The study protocol is registered in ClinicalTrial.gov (NCT05704335).

Long-term effectiveness and tolerability of galcanezumab in patients with migraine excluded from clinical trials: real world evidence of 1055 patients with 1 year follow-up from the Galca-Only registry.

BACKGROUND: Galcanezumab has shown efficacy and effectiveness in the treatment of episodic and chronic migraine (CM), however, the population represented in randomized clinical trials (RCTs) differs from the population observed in real-world setting. To describe the long-term effectiveness and tolerability of galcanezumab in clinical practice in patients excluded from RCTs. METHODS: Multicenter prospective cohort study of consecutive patients with chronic and high-frequency episodic migraine (HFEM) with prior failure to three or more migraine preventive drugs, treated with galcanezumab and followed up for 12 months. RESULTS: We enrolled 1055 patients, aged 50 (IQR: 42-58), 82.9% female, 76.4% chronic migraine, 69% with at least one exclusion criteria for RCTs, including age > 65 (n = 121), concomitant use of onabotulinumtoxinA (n = 185), daily headache at baseline (n = 347), chronic painful syndromes (n = 206), fibromyalgia (n = 101) or treatment resistance (n = 957). The median number of prior preventive treatments was 4 (IQR: 3-5). The retention rate was 90.8%, 76.8% and 71.4% at 3, 6 and 12 months. The main reasons for treatment discontinuation were lack of effectiveness (21.1%) and inadequate tolerability (6.6%). The 30%, 50% and 75% responder rates were 62.6%, 49.8% and 24.2% between weeks 8-12; 60.9%, 48.8% and 24.6% between weeks 20-24; and 59.7%, 48.3% and 24.6% between weeks 44-48. Daily headache at baseline (OR: 0.619; 95%CI: 0.469-0.817) and patient's age (OR: 1.016; 95%CI: 1.005-1.026) were associated with 50% response at weeks 20-24. The variables that were associated with a higher reduction of headache days between weeks 20-24 were patient's age (0.068; 95% CI: 0.018-0.119) and headache days per month at baseline (0.451; 95% CI: 0.319-0.583), while psychiatric comorbidity (-1.587; 95% CI: -2.626-0.538) and daily headache at baseline (-2.718; 95% CI: -4.58-0.869) were associated with fewer reduction in the number of headache days between weeks 20-24. CONCLUSION: This study provides class III evidence of effectiveness and tolerability of galcanezumab in patients with HFEM and CM with comorbidities that would result in exclusion of the pivotal RCTs. Nonetheless, the clinical results over a 12-month period were similar to the efficacy observed in randomized controlled trials. Few patients discontinued the drug due to inadequate tolerability.

Metabolic and toxicological considerations regarding CGRP mAbs and CGRP antagonists to treat migraine in COVID-19 patients: a narrative review.

INTRODUCTION: Migraine pharmacological therapies targeting calcitonin gene-related peptide (CGRP), including monoclonal antibodies and gepants, have shown clinical effect and optimal tolerability. Interactions between treatments of COVID-19 and CGRP-related drugs have not been reviewed. AREAS COVERED: An overview of CGRP, a description of the characteristics of each CGRP-related drug and its response predictors, COVID-19 and its treatment, the interactions between CGRP-related drugs and COVID-19 treatment, COVID-19 and vaccination-induced headache, and the neurological consequences of Covid-19. EXPERT OPINION: Clinicians should be careful about using gepants for COVID-19 patients, due to the potential drug interactions with drugs metabolized via CYP3A4 cytochrome. In particular, COVID-19 treatment (especially nirmatrelvir packaged with ritonavir, as Paxlovid) should be considered cautiously. It is advisable to stop or adjust the dose (10 mg atogepant when used for episodic migraine) of gepants when using Paxlovid (except for zavegepant). CGRP moncolconal antibodies (CGRP-mAbs) do not have drug - drug interactions, but a few days' interval between a COVID-19 vaccination and the use of CGRP mAbs is recommended to allow the accurate identification of the possible adverse effects, such as injection site reaction. Covid-19- and vaccination-related headache are known to occur. Whether CGRP-related drugs would be of benefit in these circumstances is not yet known.

Evaluation and treatment approaches for neurological post-acute sequelae of COVID-19: A consensus statement and scoping review from the global COVID-19 neuro research coalition.

Post-acute neurological sequelae of COVID-19 affect millions of people worldwide, yet little data is available to guide treatment strategies for the most common symptoms. We conducted a scoping review of PubMed/Medline from 1/1/2020-4/1/2023 to identify studies addressing diagnosis and treatment of the most common post-acute neurological sequelae of COVID-19 including: cognitive impairment, sleep disorders, headache, dizziness/lightheadedness, fatigue, weakness, numbness/pain, anxiety, depression and post-traumatic stress disorder. Utilizing the available literature and international disease-specific society guidelines, we constructed symptom-based differential diagnoses, evaluation and management paradigms. This pragmatic, evidence-based consensus document may serve as a guide for a holistic approach to post-COVID neurological care and will complement future clinical trials by outlining best practices in the evaluation and treatment of post-acute neurological signs/symptoms.

Potential Predictors of Response to CGRP Monoclonal Antibodies in Chronic Migraine: Real-World Data.

PURPOSE OF REVIEW: Real-world data (RWD) has identified potential predictors of response to anti-CGRP therapies in patients with chronic migraine (CM). This review aims to synthesize the most remarkable findings published to date regarding this topic. RECENT FINDINGS: Migraine features such as unilateral pain and positive triptan response and chronic features such as daily headache or medication overuse (MO) emerge as predictors of positive outcomes, potentially linked to elevated baseline serum anti-calcitonin gene-related peptide (anti-CGRP) levels. Demographic and baseline characteristics, encompassing obesity, psychiatric comorbidities, and prior refractoriness to prophylactic treatments, are associated with poor responses in both treatment-naïve patients and after-switch scenarios. Nevertheless, the consistency of these predictors across diverse populations requires further investigation. Recent RWD literature highlights emerging predictors of response of different sources among patients with CM receiving anti-CGRP therapies. Comprehending these predictors and identifying novel biomarkers of response hold the potential to refine treatment strategies for CM patients, enhancing their management and therapeutic outcomes.

Increased MRI-based Brain Age in chronic migraine patients.

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.

European Headache Federation (EHF) critical reappraisal and meta-analysis of oral drugs in migraine prevention - part 3: topiramate.

OBJECTIVE: Topiramate is a repurposed first-line treatment for migraine prophylaxis. The aim of this systematic review and meta-analysis is to critically re-appraise the existing evidence supporting the efficacy and tolerability of topiramate. METHODS: A systematic search in MEDLINE, EMBASE, Cochrane CENTRAL, and ClinicalTrials.gov was performed for trials of pharmacological treatment in migraine prophylaxis as of August 13, 2022, following the Preferred Reporting Items for Systematic Reviews (PRISMA). Randomized controlled trials in adult patients that used topiramate for the prophylactic treatment of migraine, with placebo as active comparator, were included. Two reviewers independently screened the retrieved studies and extracted all data. Outcomes of interest were the 50% responder rates, the reduction in monthly migraine days, and adverse events leading to treatment discontinuation. Results were pooled and meta-analyzed, with sensitivity analysis based on the risk of bias of the studies, the monthly migraine days at baseline, and the previous use of other prophylactic treatments. Certainty evidence was judged according to the GRADE framework. RESULTS: Eight out of 10,826 studies fulfilled the inclusion/exclusion criteria, accounting for 2,610 randomized patients. Six studies included patients with episodic migraine and two with chronic migraine. Topiramate dose ranged from 50 to 200 mg/day, and all studies included a placebo arm. There was a high certainty that topiramate: 1) increased the proportion of patients who achieved a 50% responder rate in monthly migraine days, compared to placebo [relative risk: 1.61 (95% confidence interval (CI): 1.29-2.01); absolute risk difference: 168 more per 1,000 (95% CI: 80 to 278 more)]; 2) was associated with 0.99 (95% CI: 1.41-0.58) fewer migraine days than placebo; 3) and had a higher proportion of patients with adverse events leading to treatment discontinuation [absolute risk difference 80 patients more per 1,000 (95% CI: 20 to 140 more patients)]. CONCLUSIONS: There is high-quality evidence of the efficacy of topiramate in the prophylaxis of migraine, albeit its use poses a risk of adverse events that may lead to treatment discontinuation, with a negative effect on patient satisfaction and adherence to care.

Long-term outcomes of nummular headache: A series of 168 patients and 1198 patient-years of follow-up.

BACKGROUND: Since the first description of nummular headache (NH), more than 500 cases have been described, delineating its clinical phenotype and response to treatment. However, data on the natural history of NH and outcomes during long-term follow-up are not currently available. The present study aimed to describe the long-term outcomes and follow-up of a large series of patients with NH. METHODS: A descriptive observational ambisective study with a series of cases was conducted. The study population included adult patients with primary NH and a minimum of 12 months of follow-up. Demographic variables, previous medical history, clinical phenotype, diagnosis and treatment of NH, temporal pattern, and long-term evolution were analysed. RESULTS: In total, 168 patients were enrolled and followed for a median [interquartile range (IQR)] of 80.5 (55-118.5) months. The temporal pattern after NH onset was chronic in 67.9% and, at diagnosis, the median (IQR) number of pain days per month was 20 [10-30] days with 138 (82.1%) patients with ≥8 days of pain per month. Preventive treatment was needed by 112 (66.7%) patients. The most frequently used drugs were gabapentin (69/112; 61.6%), onabotulinumtoxinA (38/112; 33.9%), amitriptyline (31/112; 27.7%) and lamotrigine (21/112; 18.7%). Response to preventive treatment was at least partial in 91/112 (81.3%) patients. At the end of follow-up, 81 (48.2%) patients had inactive NH. Of patients with active NH, the median (IQR) number of headache days per month was 3 (1-12) days and patients had ≥8 days of pain in 35 (20.8%) cases. CONCLUSIONS: Long-term outcomes of NH were positive in most patients. After a median of 6.7 years of follow-up, 48% of cases were inactive. Two-thirds of patients required preventive treatment, and 80% of them were treatment-responsive. In NH cases that remained symptomatic, the headache frequency was lower, and the proportion of patients with chronic NH decreased from 68% to 11%.

Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses.

The majority of electroencephalographic (EEG) and magnetoencephalographic (MEG) studies filter and analyse neural signals in specific frequency ranges, known as "canonical" frequency bands. However, this segmentation, is not exempt from limitations, mainly due to the lack of adaptation to the neural idiosyncrasies of each individual. In this study, we introduce a new data-driven method to automatically identify frequency ranges based on the topological similarity of the frequency-dependent functional neural network. The resting-state neural activity of 195 cognitively healthy subjects from three different databases (MEG: 123 subjects; EEG1: 27 subjects; EEG2: 45 subjects) was analysed. In a first step, MEG and EEG signals were filtered with a narrow-band filter bank (1 Hz bandwidth) from 1 to 70 Hz with a 0.5 Hz step. Next, the connectivity in each of these filtered signals was estimated using the orthogonalized version of the amplitude envelope correlation to obtain the frequency-dependent functional neural network. Finally, a community detection algorithm was used to identify communities in the frequency domain showing a similar network topology. We have called this approach the "Connectivity-based Meta-Bands" (CMB) algorithm. Additionally, two types of synthetic signals were used to configure the hyper-parameters of the CMB algorithm. We observed that the classical approaches to band segmentation are partially aligned with the underlying network topologies at group level for the MEG signals, but they are missing individual idiosyncrasies that may be biasing previous studies, as revealed by our methodology. On the other hand, the sensitivity of EEG signals to reflect this underlying frequency-dependent network structure is limited, revealing a simpler frequency parcellation, not aligned with that defined by the "canonical" frequency bands. To the best of our knowledge, this is the first study that proposes an unsupervised band segmentation method based on the topological similarity of functional neural network across frequencies. This methodology fully accounts for subject-specific patterns, providing more robust and personalized analyses, and paving the way for new studies focused on exploring the frequency-dependent structure of brain connectivity.