In this study, we aimed to （1） identify white matter （WM） deficits underlying the consciousness level in patients with disorders of consciousness （DOCs） using diffusion tensor imaging （DTI）, and （2） evaluate...In this study, we aimed to （1） identify white matter （WM） deficits underlying the consciousness level in patients with disorders of consciousness （DOCs） using diffusion tensor imaging （DTI）, and （2） evaluate the relationship between DTI metrics and clinical measures of the consciousness level in DOC patients. With a cohort of 8 comatose, 8 unresponsive wakefulness syndrome/ vegetative state, and 14 minimally conscious state patients and 25 patient controls, we performed group comparisons of the DTI metrics in 48 core WM regions of interest （ROIs）, and examined the clinical relevance using correlation analysis. We identified multiple abnormal WM ROIs in DOC patients compared with normal controls, and the DTI metrics in these ROIs were significantly correlated with clinical measures of the consciousness level. Therefore, our findings suggested that multiple WM tracts are involved in the impaired consciousness levels in DOC patients and demonstrated the clinical relevance of DTI for DOC patients.展开更多
Flexible strain sensors have become a key component of intelligent wearable electronics.However,the fabrication of strain sensors with wide workable strain ranges and high sensitivity remains a great challenge.Additio...Flexible strain sensors have become a key component of intelligent wearable electronics.However,the fabrication of strain sensors with wide workable strain ranges and high sensitivity remains a great challenge.Additionally,the rapid development of polymer composites based strain sensors has produced a large amount of e-waste.Therefore,the development of strain sensors with wide strain sensing ranges and high sensitivity based on degradable materials is necessary.In this work,a silicone blocked polyurethane(Si-BPU)with high stretchability and degradability was synthesized and composited with carbon nanotubes(CNTs)to fabricate fibrous strain sensors.The synthesized 0.5%Si-BPU exhibited good biodegradability with a weight loss of 16.47%in 42 days.The Si-BPU/12CNTs fiber based strain sensor achieved a sensing range of 0%–353.3%strain,gauge factor(GF)of 206.3 at 250%strain and of 4,513.2 at 353.3%strain,reliable stability under 10,000 repeated stretching–releasing cycles.Moreover,the Si-BPU/12CNTs strain sensor showed rapid response time(<163 ms)and was capable of monitoring various human body movements(elbow bending,finger bending,breath,swallow).In consequence,this work provides a new and effective strategy for the development of sustainable wearable electronic devices.展开更多
基金supported by the Natural Science Foundation of China (81571025)International Cooperation Project from Shanghai Science Foundation (18410711300)+13 种基金the National Science Foundation for Distinguished Young Scholars of China (81025013)National Basic Research Development Program (973 Program) of China (2012CB720700, 2010CB945500, 2012CB966300, and 2009CB941100)the National Natural Science Foundation of China (81322021)the Beijing Nova Program (Z121110002512032)the Project for National 985 Engineering of China (985III-YFX0102)the ‘‘Dawn Tracking’’ Program of Shanghai Education Commission (10GG01)the Shanghai Natural Science Foundation (08411952000 and 10ZR1405400)the National Natural Science Young Foundation in China (81201033)the grants of Shanghai Health Bureau (20114358)the National High-Technology Development Project (863 Project) of China (2015AA020501)the Program for New Century Excellent Talents in University of China (NCET-10-0356)the National Program for the Support of TopNotch Young Professionalssupported by the Michael Smith Foundation, the CRC, and the CIHRsupported by the China Scholarship Council
文摘In this study, we aimed to （1） identify white matter （WM） deficits underlying the consciousness level in patients with disorders of consciousness （DOCs） using diffusion tensor imaging （DTI）, and （2） evaluate the relationship between DTI metrics and clinical measures of the consciousness level in DOC patients. With a cohort of 8 comatose, 8 unresponsive wakefulness syndrome/ vegetative state, and 14 minimally conscious state patients and 25 patient controls, we performed group comparisons of the DTI metrics in 48 core WM regions of interest （ROIs）, and examined the clinical relevance using correlation analysis. We identified multiple abnormal WM ROIs in DOC patients compared with normal controls, and the DTI metrics in these ROIs were significantly correlated with clinical measures of the consciousness level. Therefore, our findings suggested that multiple WM tracts are involved in the impaired consciousness levels in DOC patients and demonstrated the clinical relevance of DTI for DOC patients.
基金the National Natural Science Foundation of China(Nos.51703108 and 52003130)the Postdoctoral Science Foundation of China(No.2019M652318)Taishan Scholar Foundation of Shandong,China(No.tsqn201909100)for financial support.
文摘Flexible strain sensors have become a key component of intelligent wearable electronics.However,the fabrication of strain sensors with wide workable strain ranges and high sensitivity remains a great challenge.Additionally,the rapid development of polymer composites based strain sensors has produced a large amount of e-waste.Therefore,the development of strain sensors with wide strain sensing ranges and high sensitivity based on degradable materials is necessary.In this work,a silicone blocked polyurethane(Si-BPU)with high stretchability and degradability was synthesized and composited with carbon nanotubes(CNTs)to fabricate fibrous strain sensors.The synthesized 0.5%Si-BPU exhibited good biodegradability with a weight loss of 16.47%in 42 days.The Si-BPU/12CNTs fiber based strain sensor achieved a sensing range of 0%–353.3%strain,gauge factor(GF)of 206.3 at 250%strain and of 4,513.2 at 353.3%strain,reliable stability under 10,000 repeated stretching–releasing cycles.Moreover,the Si-BPU/12CNTs strain sensor showed rapid response time(<163 ms)and was capable of monitoring various human body movements(elbow bending,finger bending,breath,swallow).In consequence,this work provides a new and effective strategy for the development of sustainable wearable electronic devices.
