Objective:To investigate the characteristics of brain network reorganization in migraine patients and its relationship with the grading of right-to-left shunt (RLS) in patent foramen ovale(PFO) by integrated 3.0T structural magnetic resonance imaging (MRI),resting-state functional MRI(fMRI),and contrast-enhanced transthoracic echocardiography, thereby toexplore the mechanism underlying cognitive impairment in migraine.Methods:A total of 49 migraine patients (migraine group)and 16 demographically matched healthy subjects (healthy control group) who received diagnosis and treatment at China-Japan Union Hospital of Jilin University from September 2020 to September 2023 were selected as the study participants. Structural images (T1-weighted) and resting-state functional images were obtained from brain imaging (MRI and fMRI) data. The amplitude of low-frequency fluctuation (ALFF) algorithm was used to quantify the intensity of spontaneous neural activity in brain regions, while the Fazekas scale and the Age-Related White Matter Changes (ARWMC) scale were employed to assess white matter lesions. Participants were evaluated using the Mini-Mental State Examination (MMSE). Based on the results of contrast-enhanced transthoracic echocardiography (cTTE),the migraine group was further subdivided into A1 group (18 cases, no PFO), A2 group (17 cases, PFO with small-to-moderate RLS) and A3 group (14 case, PFO with large RLS) group, the differences in brain functional activity and cognitive function were compared among these groups.Results:By Fazekas scale scores and ARWMC scale scores, the incidence of hyperintense foci in the deep white matter regions in the migraine group were higher than those in the healthy control group: 67.3%(33/49) vs. 6/16, 61.2%(30/49) vs. 5/16, there were statistical differences ( P<0.05). Compared with the healthy control group, the migraine group exhibited higher spontaneous neural activity intensity in the brainstem,bilateral posterior cingulate cortex,left medial frontal gyrus,and left middle frontal gyrus,while showing reduced brain activity in the right angular gyrus region. The short-term delayed recall scores and total MMSE scores in the migraine group were lower than thosein the healthy control group: (1.61 ± 1.06) scores vs. (2.44 ± 0.81) scores, (25.06 ± 2.31) scores vs. (27.94 ± 1.44) scores, there were statistical differences ( P<0.05). The short-term delayed recall scores mong the A1 group, A2 group and A3 group had statistical difference( P<0.05). Conclusions:Migraine patients exhibit specific brain functional network reorganization and cognitive dysfunction, which are closely related to the degree of RLS.

Objective:To investigate the characteristics of brain network reorganization in migraine patients and its relationship with the grading of right-to-left shunt (RLS) in patent foramen ovale(PFO) by integrated 3.0T structural magnetic resonance imaging (MRI),resting-state functional MRI(fMRI),and contrast-enhanced transthoracic echocardiography, thereby toexplore the mechanism underlying cognitive impairment in migraine.Methods:A total of 49 migraine patients (migraine group)and 16 demographically matched healthy subjects (healthy control group) who received diagnosis and treatment at China-Japan Union Hospital of Jilin University from September 2020 to September 2023 were selected as the study participants. Structural images (T1-weighted) and resting-state functional images were obtained from brain imaging (MRI and fMRI) data. The amplitude of low-frequency fluctuation (ALFF) algorithm was used to quantify the intensity of spontaneous neural activity in brain regions, while the Fazekas scale and the Age-Related White Matter Changes (ARWMC) scale were employed to assess white matter lesions. Participants were evaluated using the Mini-Mental State Examination (MMSE). Based on the results of contrast-enhanced transthoracic echocardiography (cTTE),the migraine group was further subdivided into A1 group (18 cases, no PFO), A2 group (17 cases, PFO with small-to-moderate RLS) and A3 group (14 case, PFO with large RLS) group, the differences in brain functional activity and cognitive function were compared among these groups.Results:By Fazekas scale scores and ARWMC scale scores, the incidence of hyperintense foci in the deep white matter regions in the migraine group were higher than those in the healthy control group: 67.3%(33/49) vs. 6/16, 61.2%(30/49) vs. 5/16, there were statistical differences ( P<0.05). Compared with the healthy control group, the migraine group exhibited higher spontaneous neural activity intensity in the brainstem,bilateral posterior cingulate cortex,left medial frontal gyrus,and left middle frontal gyrus,while showing reduced brain activity in the right angular gyrus region. The short-term delayed recall scores and total MMSE scores in the migraine group were lower than thosein the healthy control group: (1.61 ± 1.06) scores vs. (2.44 ± 0.81) scores, (25.06 ± 2.31) scores vs. (27.94 ± 1.44) scores, there were statistical differences ( P<0.05). The short-term delayed recall scores mong the A1 group, A2 group and A3 group had statistical difference( P<0.05). Conclusions:Migraine patients exhibit specific brain functional network reorganization and cognitive dysfunction, which are closely related to the degree of RLS.

Objective To assess the psychometric potential of the Montreal Cognitive Assessment Scale-Beijing (MoCA-BJ) as a screening instrument for mild cognitive impairment (MCI) in older adults in Wuhan communities of central China. Methods MoCA-BJ and Mini-Mental State Examination (MMSE) were adopted to assess the MCI of 381 older adults from 13 communities in Wuhan in 2015. Confirmatory factor analysis was conducted to evaluate the construct validity of MoCA-BJ, and the relationship between all aspects of cognitive function and MoCA different dimensions. Results MoCA-BJ had acceptable reliability (w=0.76), and MoCA-BJ and MMSE estimation results were highly correlated (r=0.73, P＜0.01). By comparing three measurement models through confirmatory factor analysis, we found that the MoCA-BJ scale had two factors (F1: visual space executive function, F2: memory-based other cognitive functions) in model 3, fit degree of which was higher than model 1 by one factor, and there was a statistically significant difference in the number of factors between model 1 and model 3 (χ2dif=8.73,P＜0.01). Conclusions The MoCA-BJ has two underlying factors that respectively represent two highly correlated but distinct factors, cognition and visual-spatial. Uninformative items should be revised with culturally sensitive items and the cut-off point for mild impairment should also be altered.

Objective:To determine the content of cyclohexane, ethyl acetate, methanol, methylene chloride and trichloromethane in rupatadine fumarate by headspace gaschromatography. Methods:A DB-WAXETRR capillary column(30 m × 0. 32 mm,0. 25 μm)was used and the carrier gas was nitrogen. The detector was an FID and the inlet temperature was 200℃ . The column temperature program was with the initial temperature of 35℃,maintained 10 min,and then risen to 220℃ with the rate of 20℃·min -1 ,and maintained 5 min. Results:Cyclohexane,ethyl acetate,methanol,methylene chloride and trichloromethane showed a good linear relationship within the range of 77. 590 1- 698. 310 9 μg·ml -1(r = 0. 999 7),102. 166 6- 919. 499 4 μg· ml -1(r = 0. 999 8),62. 744 7- 564. 703 2μg·ml -1(r = 0. 999 9),12. 011 2- 108. 101 1 μg·ml-1(r = 0. 999 6)and 1. 262 8-11. 365 6 μg·ml -1(r = 0. 999 6). The average recovery was 103. 9% ,103. 5% ,104. 9% ,107. 1% and 103. 4% and RSD was 2. 3% ,2. 6% ,3. 1% ,2. 8% and 4. 5%(n = 9),respectively. The five residual solvents were not detected out in rupatadine fumarate. Conclusion:The method is stable,simple,sensitive and accurate,and can be used for the determination of residual solvents in rupatadine fumarate.