Objective To investigate activation patterns in the motor cortex of patients with cerebral infarction by blood oxygen level dependent-functional magnetic resonance imaging ( BOLD-fMRI) , and to explore the brain's functional reorganization mechanism. Methods Sixteen patients ( 12 men and 4 women, age 37 to 80, mean 61.0±11.3) who had suffered a subcortical infarction within the previous 3 months were studied. All the patients received fMRI scanning during passive flexion-extension movement of both the affected and unaffected wrist separately.Brain functional mapping was acquired with SPM2 software. Activation patterns in the brain were compared between the affected and unaffected hands. Results The volume and intensity of the activated areas were diverse, but showed some order. When the affected hand moved, the fMRI map showed general hyperactivation. When the unaffected hand moved, the contralateral M1 and S1 were activated. Conclusions After cerebral infarction, the brain cortex showed compensatory changes. As the main motor cortex (M1) was deactivated, the subsidiary motor areas such as the PMC, SMA, CMA, IPL, PFC and CRB were activated. The activated motor areas could shift to the area around the lesion, and the non-motor area was activated also.

Objective: To explore the association of body fat mass and distribution indices including fat mass percentage (FMP), visceral fat area (VFA) and percentage of trunk fat mass (%TFM) with blood pressure in children to inform early management of blood pressure in children. Methods: Based on the Beijing Child Growth and Health Cohort in Shunyi District, lifestyle questionnaire survey, baseline and follow up physical examination were conducted among children from October to November 2018 and September 2020. Bioelectrical impedance analysis (BIA) was used to measure the body composition, and 1 098 participants with completed data were finally included. Results: Both body fat indices and blood pressure increased with age in boys and girls. For FMP, VFA, and %TFM, no significant differences presented between sex at baseline, while FMP, VFA, and %TFM were significantly higher in boys than girls at follow up ( t=2.73, 3.76, 3.41, P <0.01). Before and after adjusting for age, height and lifestyles or not, linear mixed effect models showed longitudinal associations existing between body fat indices and blood pressure in both boys and girls ( β=0.64-3.48, P <0.05). The association coefficients of body fat indices with systolic blood pressure were ranked as %TFM>FMP>VFA in both boys and girls. The association coefficients of body fat indices with diastolic blood pressure were ranked sequentially as FMP>%TFM>VFA in boys, and VFA>FMP>%TFM in girls. Conclusion Longitudinal associations are observed between body fat indices and blood pressure in children. Primordial prevention of high pressure should pay attention on body fat distribution.