The bacterial findings support the proposal that Guillain-Barré syndrome (GBS) and muscle stretch reflex-preserved GBS comprise a continuous spectrum as well as do Fisher syndrome (FS), FS/GBS overlap, Bickerstaff brainstem encephalitis (BBE), BBE/GBS overlap, acute ophthalmoparesis, ataxic GBS, and acute oropharyngeal palsy.

Objective Barometric pressure has been reported as a triggering and exacerbating factor in migraine headaches, although there are few reports concerning the association of weather change and migraine headache. The relationship between barometric pressure changes and migraine headaches was prospectively examined. Methods A total of 28 migraine patients who lived within 10 km of the Utsunomiya Local Meteorological Observatory kept a headache diary throughout the year. Daily and monthly mean barometric pressure data of the Utsunomiya Local Meteorological Observatory were obtained via the homepage of the Meteorological Office. Results The correlation between headache frequency obtained by the headache diaries for 1 year and changes in the barometric pressure during the period of 2 days before and 2 days after the headache onset were evaluated. The frequency of migraine increased when the difference in barometric pressure from the day the headache occurred to the day after was lower by more than 5 hPa, and decreased when the difference in barometric pressure from the day the headache occurred to 2 days later was higher by more than 5 hPa. Of 28 patients, weather change was associated with migraine headache development in 18 (64%) patients, 14 of which reported low barometric pressure to be a cause of headache. There was no association between the monthly mean barometric pressure and headache frequency throughout the year. Conclusion Barometric pressure change can be one of the exacerbating factors of migraine headaches.

BackgroundKikuchi Fujimoto disease (KFD), or histiocytic necrotising lymphadenitis, is a benign and self-limiting condition characterised by primarily affecting the cervical lymph nodes. Recurrent aseptic meningitis in association with KFD is extremely rare and remains a diagnostic challenge.Case presentationWe report a 28-year-old man who presented 7 episodes of aseptic meningitis associated with KFD over the course of 7 years. Histopathological findings of enlarged lymph nodes led to the diagnosis of KFD. The patient’s headache and lymphadenopathy spontaneously resolved without any sequelae.ConclusionsA diagnosis of KFD should be considered when enlarged cervical lymph nodes are observed in patients with recurrent aseptic meningitis. A long-term prognosis remains uncertain, and careful follow-up is preferred.

Objective To investigate the relationship between weather and headache occurrence using big data from an electronic headache diary smartphone application with recent statistical and deep learning (DL)‐based methods. Background The relationship between weather and headache occurrence remains unknown. Methods From a database of 1 million users, data from 4375 users with 336,951 hourly headache events and weather data from December 2020 to November 2021 were analyzed. We developed statistical and DL‐based models to predict the number of hourly headache occurrences mainly from weather factors. Temporal validation was performed using data from December 2019 to November 2020. Apart from the user dataset used in this model development, the physician‐diagnosed headache prevalence was gathered. Results Of the 40,617 respondents, 15,127/40,617 (37.2%) users experienced physician‐diagnosed migraine, and 2458/40,617 (6.1%) users had physician‐diagnosed non‐migraine headaches. The mean (standard deviation) age of the 4375 filtered users was 34 (11.2) years, and 89.2% were female (3902/4375). Lower barometric pressure (p < 0.001, gain = 3.9), higher humidity (p < 0.001, gain = 7.1), more rainfall (p < 0.001, gain = 3.1), a significant decrease in barometric pressure 6 h before (p < 0.001, gain = 11.7), higher barometric pressure at 6:00 a.m. on the day (p < 0.001, gain = 4.6), lower barometric pressure on the next day (p < 0.001, gain = 6.7), and raw time‐series barometric type I (remaining low around headache attack, p < 0.001, gain = 10.1) and type II (decreasing around headache attack, p < 0.001, gain = 10.1) changes over 6 days, were significantly associated with headache occurrences in both the statistical and DL‐based models. For temporal validation, the root mean squared error (RMSE) was 13.4, and the determination coefficient (R2) was 52.9% for the statistical model. The RMSE was 10.2, and the R2 was 53.7% for the DL‐based model. Conclusions Using big data, we found that low barometric pressure, barometric pressure changes, higher humidity, and rainfall were associated with an increased number of headache occurrences.