In daily functional activities,the body needs the ability to perform two or more tasks at the same time(such as talking while walking).However,the gait disorder of patients with Parkinson's disease is aggravated w...In daily functional activities,the body needs the ability to perform two or more tasks at the same time(such as talking while walking).However,the gait disorder of patients with Parkinson's disease is aggravated when performing dual tasks,which seriously affects their quality of life.Therefore,the medical management plan should offer effective exercise training programming to improve Parkinson's disease patients'ability to perform dual tasks.Most traditional exercise intervention methods only focus on the perspective of exercise or cognition,ignoring their interaction,and fail to adequately resolve the dual task obstacles associated with Parkinson's disease.Some scholars put forward the concept of dual-task training and have applied dual-task training to pa-tients with neurological disorders and have achieved good therapeutic effects.Therefore,this article summarizes the research literature concerning dual-task training to improve cognitive impairment and walking function of Parkinson's disease patients,to evaluate and discuss possible mechanisms of action,and provide a basis for adjuvant treatment and rehabilitation of Parkinson's disease patients.展开更多
Objective:To analyze the impact of comprehensive rehabilitation therapy of traditional Chinese medicine(TCM)(based on modern rehabilitation training)on the spasticity and motor function in stroke patients with hemiple...Objective:To analyze the impact of comprehensive rehabilitation therapy of traditional Chinese medicine(TCM)(based on modern rehabilitation training)on the spasticity and motor function in stroke patients with hemiplegia.Methods:Seventy-nine stroke and hemiplegia patients admitted to the hospital from June 2021 to June 2023 were selected and randomly divided into a control group(39 cases)using modern rehabilitation training,and an observation group combined with comprehensive TCM rehabilitation therapy(40 cases),over 1 month.The clinical index data of the two groups were compared.Results:There were differences in the clinical index data between the two groups.The total effective rate after 2 treatment in the observation group(92.50%)was higher than that of the control group(74.36%)(χ^(2)=4.727,P<0.05).All central sensitization inventory(CSI)and stroke quality of life(PRO)scores in both groups were lower after treatment,with the observation group having lower scores as compared to the control group(P<0.05).The scores of FMA(upper limbs,lower limbs),Barthel index scores,and Functional Ambulation Categories(FAC)scores of both groups increased after treatment,with the observation group having higher scores as compared to the control group(P<0.05).Conclusion:Comprehensive TCM rehabilitation therapy had a significant therapeutic effect on patients with hemiplegia after stroke.It improved the patient’s spasticity,limb movement,and walking function.Their daily living abilities and quality of life were also enhanced.展开更多
No recommended guidelines currently exist for the therapeutic concentration or dose of botulinum toxin type A (BTXA) injected into the muscle to treat limb spasticity. Therefore, in this randomized controlled trial,...No recommended guidelines currently exist for the therapeutic concentration or dose of botulinum toxin type A (BTXA) injected into the muscle to treat limb spasticity. Therefore, in this randomized controlled trial, we explored the safety and efficacy of two concentrations and two doses of BTXA in the treatment of spastic toot after stroke to optimize this treatment in these patients. Eligible patients (n = 104) were randomized into four groups. The triceps surae and tibialis posterior on the affected side were injected with BTXA at one of two doses (200 U or 400 U) and two concentrations (50 U/mL or 100 U/mL). 2he following assessments were conducted before as well as 4 days and 1, 2, 4, and 12 weeks after treatment: spasticity, assessed using the modified Ashworth scale; basic functional mobility, assessed using a timed up and go test; pace, assessed using a 10-meter timed walking test; and the ability to walk, assessed using Holden's graded scale and a visual analog scale. The reported results are based on the 89 patients that completed the study. We found significant differences for the two doses and concentrations of BTXA to improve the ability of patients to walk independently, with the high-dose/low-concentration combination providing the best effect. Onset and duration of the ameliorating effects of BTXA were 4-7 days and 12 weeks, respectively. Thus, BTXA effectively treated foot spasms after stroke at an optimal dose of 400 U and concentration of 50 U/mL.展开更多
Role-based network embedding aims to embed role-similar nodes into a similar embedding space,which is widely used in graph mining tasks such as role classification and detection.Roles are sets of nodes in graph networ...Role-based network embedding aims to embed role-similar nodes into a similar embedding space,which is widely used in graph mining tasks such as role classification and detection.Roles are sets of nodes in graph networks with similar structural patterns and functions.However,the rolesimilar nodes may be far away or even disconnected from each other.Meanwhile,the neighborhood node features and noise also affect the result of the role-based network embedding,which are also challenges of current network embedding work.In this paper,we propose a Role-based network Embedding via Quantum walk with weighted Features fusion(REQF),which simultaneously considers the influence of global and local role information,node features,and noise.Firstly,we capture the global role information of nodes via quantum walk based on its superposition property which emphasizes the local role information via biased quantum walk.Secondly,we utilize the quantum walkweighted characteristic function to extract and fuse features of nodes and their neighborhood by different distributions which contain role information implicitly.Finally,we leverage the Variational Auto-Encoder(VAE)to reduce the effect of noise.We conduct extensive experiments on seven real-world datasets,and the results show that REQF is more effective at capturing role information in the network,which outperforms the best baseline by up to 14.6% in role classification,and 23% in role detection on average.展开更多
基金supported by National key R&D projects(2019YFF0301805)the Science and Technology Innovation Project of Dalian,China(ZX20180690).
文摘In daily functional activities,the body needs the ability to perform two or more tasks at the same time(such as talking while walking).However,the gait disorder of patients with Parkinson's disease is aggravated when performing dual tasks,which seriously affects their quality of life.Therefore,the medical management plan should offer effective exercise training programming to improve Parkinson's disease patients'ability to perform dual tasks.Most traditional exercise intervention methods only focus on the perspective of exercise or cognition,ignoring their interaction,and fail to adequately resolve the dual task obstacles associated with Parkinson's disease.Some scholars put forward the concept of dual-task training and have applied dual-task training to pa-tients with neurological disorders and have achieved good therapeutic effects.Therefore,this article summarizes the research literature concerning dual-task training to improve cognitive impairment and walking function of Parkinson's disease patients,to evaluate and discuss possible mechanisms of action,and provide a basis for adjuvant treatment and rehabilitation of Parkinson's disease patients.
文摘Objective:To analyze the impact of comprehensive rehabilitation therapy of traditional Chinese medicine(TCM)(based on modern rehabilitation training)on the spasticity and motor function in stroke patients with hemiplegia.Methods:Seventy-nine stroke and hemiplegia patients admitted to the hospital from June 2021 to June 2023 were selected and randomly divided into a control group(39 cases)using modern rehabilitation training,and an observation group combined with comprehensive TCM rehabilitation therapy(40 cases),over 1 month.The clinical index data of the two groups were compared.Results:There were differences in the clinical index data between the two groups.The total effective rate after 2 treatment in the observation group(92.50%)was higher than that of the control group(74.36%)(χ^(2)=4.727,P<0.05).All central sensitization inventory(CSI)and stroke quality of life(PRO)scores in both groups were lower after treatment,with the observation group having lower scores as compared to the control group(P<0.05).The scores of FMA(upper limbs,lower limbs),Barthel index scores,and Functional Ambulation Categories(FAC)scores of both groups increased after treatment,with the observation group having higher scores as compared to the control group(P<0.05).Conclusion:Comprehensive TCM rehabilitation therapy had a significant therapeutic effect on patients with hemiplegia after stroke.It improved the patient’s spasticity,limb movement,and walking function.Their daily living abilities and quality of life were also enhanced.
基金supported by a grant from the Shandong Science and Technology Development Plan Project in China,No.2012YD18031
文摘No recommended guidelines currently exist for the therapeutic concentration or dose of botulinum toxin type A (BTXA) injected into the muscle to treat limb spasticity. Therefore, in this randomized controlled trial, we explored the safety and efficacy of two concentrations and two doses of BTXA in the treatment of spastic toot after stroke to optimize this treatment in these patients. Eligible patients (n = 104) were randomized into four groups. The triceps surae and tibialis posterior on the affected side were injected with BTXA at one of two doses (200 U or 400 U) and two concentrations (50 U/mL or 100 U/mL). 2he following assessments were conducted before as well as 4 days and 1, 2, 4, and 12 weeks after treatment: spasticity, assessed using the modified Ashworth scale; basic functional mobility, assessed using a timed up and go test; pace, assessed using a 10-meter timed walking test; and the ability to walk, assessed using Holden's graded scale and a visual analog scale. The reported results are based on the 89 patients that completed the study. We found significant differences for the two doses and concentrations of BTXA to improve the ability of patients to walk independently, with the high-dose/low-concentration combination providing the best effect. Onset and duration of the ameliorating effects of BTXA were 4-7 days and 12 weeks, respectively. Thus, BTXA effectively treated foot spasms after stroke at an optimal dose of 400 U and concentration of 50 U/mL.
基金supported in part by the National Nature Science Foundation of China(Grant 62172065)the Natural Science Foundation of Chongqing(Grant cstc2020jcyjmsxmX0137).
文摘Role-based network embedding aims to embed role-similar nodes into a similar embedding space,which is widely used in graph mining tasks such as role classification and detection.Roles are sets of nodes in graph networks with similar structural patterns and functions.However,the rolesimilar nodes may be far away or even disconnected from each other.Meanwhile,the neighborhood node features and noise also affect the result of the role-based network embedding,which are also challenges of current network embedding work.In this paper,we propose a Role-based network Embedding via Quantum walk with weighted Features fusion(REQF),which simultaneously considers the influence of global and local role information,node features,and noise.Firstly,we capture the global role information of nodes via quantum walk based on its superposition property which emphasizes the local role information via biased quantum walk.Secondly,we utilize the quantum walkweighted characteristic function to extract and fuse features of nodes and their neighborhood by different distributions which contain role information implicitly.Finally,we leverage the Variational Auto-Encoder(VAE)to reduce the effect of noise.We conduct extensive experiments on seven real-world datasets,and the results show that REQF is more effective at capturing role information in the network,which outperforms the best baseline by up to 14.6% in role classification,and 23% in role detection on average.