The present report describes a case of hemobilia caused by hepatic pseudoaneurysm. A 63-year-old woman was admitted with abdominal pain and mild jaundice. She was diagnosed as choledocholithiasis and hypersplenism and...The present report describes a case of hemobilia caused by hepatic pseudoaneurysm. A 63-year-old woman was admitted with abdominal pain and mild jaundice. She was diagnosed as choledocholithiasis and hypersplenism and underwent choledocolithotomy and splenectomy. 9th day post operation, massive fresh blood suddenly flew out from T tube and she underwent emergency abdominal exploration but there were no obvious bleeding sites in the abdominal cavity and no bleeding sites in the biliary tree by choledochoscope. 7th day after the second operation, fresh blood suddenly flew out from T tube again and angiography showed two small peudoaneurysms at the second branch of right hepatic artery which might result in hemobilia. The hemobilia was treated successfully with coil embolisation of peudoaneurysms and she recovers fully.展开更多
The cerebral cortex plays an important role in human and other animal adaptation to unpredictable terrain changes,but little was known about the functional network among the cortical areas during this process.To addre...The cerebral cortex plays an important role in human and other animal adaptation to unpredictable terrain changes,but little was known about the functional network among the cortical areas during this process.To address the question,we trained 6 rats with blocked vision to walk bipedally on a treadmill with a random uneven area.Whole-brain electroencephalography signals were recorded by 32-channel implanted electrodes.Afterward,we scan the signals from all rats using time windows and quantify the functional connectivity within each window using the phase-lag index.Finally,machine learning algorithms were used to verify the possibility of dynamic network analysis in detecting the locomotion state of rats.We found that the functional connectivity level was higher in the preparation phase compared to the walking phase.In addition,the cortex pays more attention to the control of hind limbs with higher requirements for muscle activity.The level of functional connectivity was lower where the terrain ahead can be predicted.Functional connectivity bursts after the rat accidentally made contact with uneven terrain,while in subsequent movement,it was significantly lower than normal walking.In addition,the classification results show that using the phase-lag index of multiple gait phases as a feature can effectively detect the locomotion states of rat during walking.These results highlight the role of the cortex in the adaptation of animals to unexpected terrain and may help advance motor control studies and the design of neuroprostheses.展开更多
文摘The present report describes a case of hemobilia caused by hepatic pseudoaneurysm. A 63-year-old woman was admitted with abdominal pain and mild jaundice. She was diagnosed as choledocholithiasis and hypersplenism and underwent choledocolithotomy and splenectomy. 9th day post operation, massive fresh blood suddenly flew out from T tube and she underwent emergency abdominal exploration but there were no obvious bleeding sites in the abdominal cavity and no bleeding sites in the biliary tree by choledochoscope. 7th day after the second operation, fresh blood suddenly flew out from T tube again and angiography showed two small peudoaneurysms at the second branch of right hepatic artery which might result in hemobilia. The hemobilia was treated successfully with coil embolisation of peudoaneurysms and she recovers fully.
基金supported by the National Key R&D Program of China(Grant Nos.2018YFB1307301 and 2017YFE0117000).
文摘The cerebral cortex plays an important role in human and other animal adaptation to unpredictable terrain changes,but little was known about the functional network among the cortical areas during this process.To address the question,we trained 6 rats with blocked vision to walk bipedally on a treadmill with a random uneven area.Whole-brain electroencephalography signals were recorded by 32-channel implanted electrodes.Afterward,we scan the signals from all rats using time windows and quantify the functional connectivity within each window using the phase-lag index.Finally,machine learning algorithms were used to verify the possibility of dynamic network analysis in detecting the locomotion state of rats.We found that the functional connectivity level was higher in the preparation phase compared to the walking phase.In addition,the cortex pays more attention to the control of hind limbs with higher requirements for muscle activity.The level of functional connectivity was lower where the terrain ahead can be predicted.Functional connectivity bursts after the rat accidentally made contact with uneven terrain,while in subsequent movement,it was significantly lower than normal walking.In addition,the classification results show that using the phase-lag index of multiple gait phases as a feature can effectively detect the locomotion states of rat during walking.These results highlight the role of the cortex in the adaptation of animals to unexpected terrain and may help advance motor control studies and the design of neuroprostheses.
