Department of Neurology, Mayo Clinic, Phoenix, Arizona, USA.
Citations 22
Symptoms of Autonomic Dysfunction Among Those With Persistent Posttraumatic Headache Attributed to Mild Traumatic Brain Injury: A Comparison to Migraine and Healthy Controls
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.
Structural Co‐Variance Patterns in Migraine: A Cross‐Sectional Study Exploring the Role of the Hippocampus
Objective To interrogate hippocampal morphology and structural co‐variance patterns in migraine patients and to investigate whether structural co‐variance patterns relate to migraine disease characteristics. Background Migraine is associated with structural alterations in widespread cortical and subcortical regions associated with the sensory, cognitive, and affective components of pain processing. Recent studies have shown that migraine patients have differences in hippocampal structure and function relative to healthy control subjects, but whether hippocampal structure relates to disease characteristics including frequency of attacks, years lived with migraine and symptoms of allodynia remains unknown. Furthermore, this study investigated hippocampal volume co‐variance patterns in migraineurs, an indirect measure of brain network connectivity. Here, we explore differences in hippocampal volume and structural co‐variance patterns in migraine patients relative to healthy controls and examine whether these hippocampal measures relate to migraine disease burden. Methods This study included 61 migraine patients and 57 healthy control subjects (healthy controls: median age = 34.0, IQR = 19.0; migraine patients: median age = 35.0, IQR = 17.5; P = .65). Regional brain volumes were automatically calculated using FreeSurfer version 5.3. Symptoms of allodynia were determined using the Allodynia Symptom Checklist 12 (ASC‐12). Structural co‐variance patterns were interrogated using pairwise correlations and group differences in correlation strength were estimated using Euclidian distance. A stepwise regression was used to investigate the relationship between structural co‐variance patterns with migraine burden. Results Migraine patients had less left hippocampal volume (healthy controls: left hippocampal volume = 4276.8 mm 3 , SD = 425.3 mm 3 , migraine patients: left hippocampal volume = 4089.5 mm 3 , SD = 453.9 mm 3 , P = .02) and less total (right plus left) hippocampal volume (healthy controls: total hippocampal volume= 8690.8 mm 3 , SD = 855.1 mm 3 ; migraine patients: total hippocampal volume = 8341.8 mm 3 , SD = 917.9 mm 3 ; P = .03) compared to healthy controls. Migraineurs had stronger structural covariance between the hippocampi and cortico‐limbic regions in the frontal lobe (inferior opercular gyrus), temporal lobe (planum temporale, amygdala), parietal lobe (angular gyrus, precuneus), and the cerebellar white matter. Results of a stepwise regression showed that hippocampal volumes and the interactions between hippocampal volumes with the volumes of other cortico‐limbic regions associate with migraine‐related allodynia but not with headache frequency or years lived with migraine. Conclusion Migraineurs have less hippocampal volume and stronger hippocampal‐cortico‐limbic connectivity compared to healthy controls. Hippocampal volumes and measures of hippocampal volume connectivity with other cortico‐limbic network regions associate with symptoms of allodynia.