Schwedt, Todd J.

Introduction Although migraine and persistent post-traumatic headache often share phenotypic characteristics, few studies have interrogated the pathophysiological differences underlying these headache types. While there is now some indication of differences in brain structure between migraine and persistent post-traumatic headache, differences in brain function have not been adequately investigated. The objective of this study was to compare static and dynamic functional connectivity patterns in migraine versus persistent post-traumatic headache using resting-state magnetic resonance imaging. Methods This case-control study interrogated the static functional connectivity and dynamic functional connectivity patterns of 59 a priori selected regions of interest involved in pain processing. Pairwise connectivity (region of interest to region of interest) differences between migraine (n = 33) and persistent post-traumatic headache (n = 44) were determined and compared to healthy controls (n = 36) with ANOVA and subsequent t-tests. Pearson partial correlations were used to explore the relationship between headache burden (headache frequency; years lived with headache) and functional connectivity and between pain intensity at the time of imaging and functional connectivity for migraine and persistent post-traumatic headache groups, separately. Results Significant differences in static functional connectivity between migraine and persistent post-traumatic headache were found for 17 region pairs that included the following regions of interest: Primary somatosensory, secondary somatosensory, posterior insula, hypothalamus, anterior cingulate, middle cingulate, temporal pole, supramarginal gyrus, superior parietal, middle occipital, lingual gyrus, pulvinar, precuneus, cuneus, somatomotor, ventromedial prefrontal cortex, and dorsolateral prefrontal cortex. Significant differences in dynamic functional connectivity between migraine and persistent post-traumatic headache were found for 10 region pairs that included the following regions of interest: Secondary somatosensory, hypothalamus, middle cingulate, temporal pole, supramarginal gyrus, superior parietal, lingual gyrus, somatomotor, precentral, posterior cingulate, middle frontal, fusiform gyrus, parieto-occiptal, and amygdala. Although there was overlap among the regions demonstrating static functional connectivity differences and those showing dynamic functional connectivity differences between persistent post-traumatic headache and migraine, there was no overlap in the region pair functional connections. After controlling for sex and age, there were significant correlations between years lived with headache with static functional connectivity of the right dorsolateral prefrontal cortex with the right ventromedial prefrontal cortex in the migraine group and with static functional connectivity of right primary somatosensory with left supramarginal gyrus in the persistent post-traumatic headache group. There were significant correlations between headache frequency with static functional connectivity of left secondary somatosensory with right cuneus in the migraine group and with static functional connectivity of left middle cingulate with right pulvinar and right posterior insula with left hypothalamus in the persistent post-traumatic headache group. Dynamic functional connectivity was significantly correlated with headache frequency, after controlling for sex and age, in the persistent post-traumatic headache group for one region pair (right middle cingulate with right supramarginal gyrus). Dynamic functional connectivity was correlated with pain intensity at the time of imaging for the migraine cohort for one region pair (right posterior cingulate with right amygdala). Conclusions Resting-state functional imaging revealed static functional connectivity and dynamic functional connectivity differences between migraine and persistent post-traumatic headache for regions involved in pain processing. These differences in functional connectivity might be indicative of distinctive pathophysiology associated with migraine versus persistent post-traumatic headache.

Objectives Often, persistent post-traumatic headache and migraine are phenotypically similar. However, the similarities and differences in the neuropathological underpinnings of persistent post-traumatic headache and migraine require further understanding. We used diffusion tensor imaging (DTI) and a novel method for detecting subtle changes in fibertract integrity by measuring node-by-node parameters along each tract to compare fibertract profiles between those with migraine and those with persistent post-traumatic headache, and compared both cohorts to a group of controls. Methods Eighteen fibertracts were reconstructed for 131 subjects, including 49 patients with persistent post-traumatic headache attributed to mild traumatic brain injury, 41 with migraine, and 41 controls. Node-by-node diffusion parameters of mean diffusivity and radial diffusivity were calculated along each tract. Mean diffusivity and radial diffusivity measurements were averaged along quartiles of each tract for statistical interpretation and group comparison. Using a post-hoc analysis, correlations between tract quartile measurements and headache frequency were calculated. Results There were significant differences between migraine and persistent post-traumatic headache cohorts for quartile measurements of mean diffusivity or radial diffusivity in the bilateral anterior thalamic radiations, cingulum (angular bundles and cingulate gyri), inferior longitudinal fasciculi, and uncinate fasciculi, the left corticospinal tract, and the right superior longitudinal fasciculi-parietal portion. For migraine patients, there was a significant positive correlation between headache frequency and forceps major mean diffusivity, whereas for persistent post-traumatic headache there was a positive correlation between headache frequency and cingulum angular bundle mean diffusivity and radial diffusivity. Conclusions Quartile measurements of radial diffusivity and mean diffusivity indicate unique differences in fibertract profiles between those with migraine vs. persistent post-traumatic headache. Although for both migraine and persistent post-traumatic headache there was a positive relationship between fibertract alterations and headache frequency, there were disease-specific differences between headache frequency and fibertract injury patterns. These findings might suggest potential differences in the neuropathological mechanisms underlying migraine and persistent post-traumatic headache.

Objective To understand treatment preferences of people with migraine and the relative importance of improvements in efficacy and avoiding adverse events (AEs), such as cognition problems or weight gain. Background Current preventive migraine medicines are associated with poor adherence and tolerability. There is an unmet need for effective migraine‐specific preventive treatments with fewer AEs. Methods In a web‐based discrete‐choice experiment survey, respondents who self‐reported having ≥6 migraine days/month were offered choices between pairs of hypothetical preventive migraine medicines. Six attributes, each with 3 levels, defined the medicines: reduction in headache days per month (10%, 25%, or 50%), frequency of limitations with physical activities (none, 1‐category improvement, or 2‐category improvement), cognition problems (no problems, thinking problems, or memory problems), weight gain (none, 5% body weight gain, or 10% body weight gain), how the medicine is taken (daily oral pill, once‐monthly injection, or twice‐monthly injection), and monthly out‐of‐pocket cost ($5, $60, or $175). The attributes and levels were informed by clinician input, the clinical literature, and 2 focus groups. An experimental design was used to create the pairs of hypothetical medicines for the discrete‐choice experiment questions. Random‐parameters logit was used to estimate the relative importance of the medicine attributes, and the results were used to predict the percentage of respondents who would select one medicine profile over another and to calculate willingness to pay for changes in attribute levels. Results The sample included 300 respondents; 72% indicated that migraines make physical activities difficult all or most of the time, and 81% had taken a prescription medicine to prevent migraine in the last 6 months. Respondents reported having, on average, approximately 16 headache days per month. Among noncost attributes, respondents valued a change from a 10% reduction in migraine days to a 50% reduction more highly than avoiding the worst levels of AEs, but were willing to trade off efficacy for less‐severe AEs. Avoiding memory problems was more important than avoiding thinking problems. Avoiding a 10% weight gain was more important than avoiding thinking and memory problems. Respondents preferred a once‐monthly injection or daily pill to twice‐monthly injection. Respondents, on average, were willing to pay $84 (95% confidence interval [CI], $64‐$103) per month to avoid a 10% weight gain, $59 (95% CI, $42‐$76) per month to avoid memory problems, $35 (95% CI, $20‐$51) per month to avoid a 5% weight gain, and $32 (95% CI, $18‐$46) per month to avoid thinking problems. Conclusions A preventive migraine medicine with improved efficacy and AE profile and a favorable mode of administration would be valuable to migraine sufferers. Patients may be willing to trade off efficacy for better AE profiles. Clinicians should work with patients to select treatments that meet each patient’s needs.

Background Cutaneous allodynia is a common clinical feature of migraine that has been associated with reduced efficacy of acute migraine treatments and an increased risk of disease progression. Objective Identify factors associated with allodynia in a sample of adults with migraine. Methods An online survey panel was used to identify adults with migraine who averaged at least 1 monthly headache day over the previous 3 months. Data on sociodemographics, headache frequency, headache pain intensity, migraine symptom severity, medication use, depression and anxiety, and cutaneous allodynia (via the Allodynia Symptom Checklist) were obtained. Binary logistic modeling predicted the presence of allodynia. Odds ratios and 95% confidence intervals (CI) were calculated. Results In total, 15,133 individuals with migraine met the eligibility criteria. Mean age was 43.1 years, 73.0% were female, and 81.0% were Caucasian. Allodynia was present in 39.9%. The fully adjusted model, controlling for sociodemographics and headache features, demonstrated that allodynia was significantly associated with a higher migraine symptom severity score (odds ratio 1.17, confidence interval 1.15, 1.19) and more severe pain intensity (odds ratio 1.11, confidence interval 1.08, 1.14); probable depression and/or anxiety (odds ratio 1.83, confidence interval 1.67, 2.00); and overuse of acute medication (odds ratio 1.23, confidence interval 1.09, 1.38). A higher number of monthly headache days increased the likelihood of allodynia, but the effect was attenuated in the fully adjusted model. Conclusion In a representative sample of US adults with migraine, there were significant associations between allodynia and headache frequency and intensity, anxiety and/or depression, symptom severity, and acute medication overuse.

Background and Objective Some individuals with migraine report the presence of speech changes during their migraine attacks. The goal of this study was to compare objective features of speech during the migraine pre-attack, the migraine attack, and during the interictal period. Methods This was a prospective, longitudinal, observational study of adults with episodic migraine and healthy non-migraine controls. Participants provided speech samples three times per day using a speech elicitation tool included within a mobile app. Six complementary speech features that capture articulation and prosody were extracted from speech samples. Participants with migraine maintained a daily headache diary using the same app. A mixed effects model and t-tests were used to investigate differences in speech features between controls, the migraine pre-attack phase, the migraine attack, and the interictal period. Results In total, 56,767 speech samples were collected, including 43,102 from 15 individuals with migraine and 13,665 from matched healthy controls. Significant group-level differences in speech features were identified between those with migraine and healthy controls and within the migraine group during the pre-attack vs. attack vs. interictal periods (all p < .05). Most consistently, speech changes occurred in the speaking rate, articulation rate and precision, and phonatory duration. Within-subject analysis revealed that seven of 15 individuals with migraine showed significant change in at least one speech feature when comparing the migraine attack vs. interictal phase and four showed similar changes when comparing the pre-attack vs. interictal phases. Conclusions Changes in speech occurred in almost half of the individuals during migraine attacks. Once confirmed in subsequent studies, speech changes could be considered a feature of the migraine attack.

Abstract Objectives To summarize the baseline methods for the Migraine in America Symptoms and Treatment (MAST) Study and evaluate gender differences in sociodemographics and headache features; consultation and diagnosis patterns; and patterns of acute and preventive treatment use for migraine among study participants. Background The MAST Study is a longitudinal, internet‐based panel study of symptoms, approaches to management, and unmet treatment needs among US adults with migraine. This analysis focuses on the initial cross‐sectional survey, conducted beginning in 2016, and is intended to update results from earlier national epidemiologic surveys of people with migraine in the United States. Methods Respondents to the MAST Study were recruited from a US nationwide online research panel. Stratified random sampling identified a representative cohort of adults (aged ≥18 years). We administered a validated diagnostic screener based on modified ICHD‐3 beta criteria to identify individuals with migraine averaging at least 1 monthly headache day (MHD) over the previous 3 months. A baseline assessment evaluated sociodemographic and headache features, patterns of consultation and diagnosis, and use of acute and preventive medications for migraine. Frequency data and chi‐square contrasts ( P < .05) were used to compare respondents based on gender. Results Baseline survey data (N = 95,821) identified 18,353 respondents who met criteria for migraine, including 15,133 (women n = 11,049, men n = 4084) reporting at least 1 MHD for the preceding 3 months. The mean age of the sample was 43.1 (13.6) years; 73.0% of respondents were women, and 81.0% were Caucasian. Compared with men, women were younger (46.1 vs 42.0 years; P < .001); had more MHDs (5.6 vs 5.3; P < .001); and were more likely to report moderate or severe headache‐related disability (45.9% vs 35.8%; P < .001) and cutaneous allodynia (43.7% vs 29.5%; P < .001). The lifetime rate of medical consultation for headache was 79.8% overall and slightly higher in women than in men. Women were more likely than men to have been diagnosed with migraine (48.3% vs 38.8%, P < .001). While 95.1% of people with migraine currently used acute treatment, the majority (58.9%) used over‐the‐counter (OTC) drugs to the exclusion of prescription drugs, while 11.3% used exclusively prescription drugs, and 20.5% used both. Among acute prescription medication users, women were more likely than men to take triptans (17.7% vs 14.3%, P < .001), while men were more likely than women to take opioids (14.5% vs 9.2%, P < .001). Oral formulations were used predominately (92.7% of the medication users), but men were more likely to use nasal sprays (13.6% vs 9.4%, P < .001) and injectables (7.9% vs 3.4%, P < .001). Men (14.5%) were also significantly more likely than women (10.4%) to be taking daily oral preventive medication ( P < .001). Conclusions The MAST Study identified a large sample of women and men with migraine from a sampling frame that broadly resembles the US population. Low participation rate increases the risk of response bias, however, comparisons with Census data and prior population studies for the demographic and headache characteristics of the current sample suggest that findings are generalizable to the population of people with migraine. Women had more MHDs than men, and they were more likely to report migraine‐related disability and cutaneous allodynia. The lifetime consultation rate for headache was relatively high, but many with migraine symptoms reported never having received a diagnosis of migraine from a healthcare professional. Acute prescription and preventive migraine treatments are underused. Migraine persists as an underdiagnosed and undertreated public health problem in 2018, and there are many opportunities to improve the diagnosis and treatment of people with this painful, disabling condition.

Background Most persistent posttraumatic headaches (PPTH) have a phenotype that meets diagnostic criteria for migraine or probable migraine. Although symptoms of autonomic dysfunction have been well described among those with migraine, the presence and relative severity of such symptoms among those with PPTH have yet to be reported. Objective The objective of this study was to assess and compare symptoms of autonomic dysfunction among those with PPTH attributed to mild traumatic brain injury (mTBI) vs migraine vs healthy controls using Composite Autonomic Symptom Score 31 (COMPASS‐31) questionnaire scores. Methods Individuals with PPTH (n = 56) (87.5% of whom had a migraine/probable migraine phenotype), migraine (n = 30), and healthy controls (n = 36) were prospectively assessed in this cross‐sectional cohort study using the COMPASS‐31 questionnaire. Total COMPASS‐31 scores and individual domain scores (bladder, gastrointestinal, orthostatic intolerance, pupillomotor, secretomotor, vasomotor) were compared between subject groups. Results COMPASS‐31 mean total weighted score was 37.22 ± 15.44 in the PPTH group, 27.15 ± 14.37 in the migraine group, and 11.67 ± 8.98 for healthy controls. COMPASS‐31 mean weighted total scores were significantly higher in those with PPTH vs migraine ( P = .014), for PPTH vs healthy controls ( P = .001), and for migraine vs healthy controls ( P = .001). Those with PPTH had numerically higher scores for all COMPASS‐31 domains compared to those with migraine, and the domain scores were significantly higher for orthostatic intolerance (PPTH = 4.80 ± 2.47 vs migraine = 3.33 ± 2.31, P = .027) and bladder (PPTH = 1.14 ± 1.45 vs migraine = 0.47 ± 0.73, P = .020). Among individuals with PPTH, post hoc correlations indicated a positive association between number of total lifetime TBIs with total weighted COMPASS‐31 scores (rho = 0.32, P = .020), between years lived with headache and vasomotor domain subscores (rho = 0.27; P = .044), and between headache frequency with vasomotor domain subscores (rho = 0.27; P = .041). Conclusions Symptoms of autonomic dysfunction were greatest among those with PPTH compared to migraine and healthy controls. Among individuals with PPTH, number of lifetime TBIs was associated with greater symptoms of autonomic dysfunction, while greater headache burden was associated with higher vasomotor domain autonomic dysfunction subscores, potentially indicating that PPTH patients with higher disease burden have an increased risk for having autonomic dysfunction. Symptoms of autonomic dysfunction should be ascertained during the clinical management of patients with PPTH and might be a characteristic that helps differentiate PPTH from migraine.

Even when concussions are associated with prolonged physical and cognitive sequelae, concussions are typically “invisible” on diagnostic brain imaging, indicating that the neuropathology associated with concussion lies under the detection threshold of routine imaging. However, data from brain structural and functional research imaging studies using diffusion tensor imaging, resting‐state functional magnetic resonance imaging, and brain perfusion imaging indicate that these imaging sequences have a role in identifying concussion‐related neuropathology. These advanced imaging techniques provide insights into concussion neuropathology and might be useful for differentiating concussed patients from healthy controls. In this review article, we provide an overview of research findings from brain structural and functional imaging studies of concussion, and discuss the accuracy of classification models developed via machine‐learning algorithms for identifying individual patients with concussion based on imaging data.