Filtered By:
Specialty: Research
Education: Learning

This page shows you your search results in order of relevance.

Order by Relevance | Date

Total 41 results found since Jan 2013.

Deficit of Motor Skill Acquisition on the Upper Limb Ipsilesional to the Injured Hemisphere in Individuals with Stroke.
CONCLUSIONS Our findings provide evidence that individuals with stroke might have difficulty in performing visuo-spatial movements and acquiring motor skills with the ipsilateral upper limb. Improvement of ipsilesional limb function increases self-care activity in daily life. Therefore, we recommend that clinicians adopt remedial strategies for ipsilesional limbs. PMID: 31283752 [PubMed - in process]
Source: Medical Science Monitor - July 11, 2019 Category: Research Tags: Med Sci Monit Source Type: research

A Novel Multiple-Cue Observational Clinical Scale for Functional Evaluation of Gait After Stroke - The Stroke Mobility Score (SMS).
CONCLUSIONS The SMS proves to be an easy-to-use, tele-applicable, robust, consistent, reliable, and nuanced functional scale of gait impairments after stroke. Due to its sensitivity to whole-body motion criteria, it is ideally suited for machine learning algorithms and for development of new therapy strategies based on instrumented gait analysis. PMID: 32930152 [PubMed - in process]
Source: Medical Science Monitor - September 17, 2020 Category: Research Tags: Med Sci Monit Source Type: research

A retrospective study to assess resource utilization and costs in patients with post-stroke spasticity in the United Kingdom.
CONCLUSION: Costs after stroke for patients developing PSS are twice as high compared to patients who do not develop it, with the major driver being the number of hospital admissions. This highlights the need for better recording and closer management of PSS. PMID: 29490512 [PubMed - as supplied by publisher]
Source: Current Medical Research and Opinion - March 3, 2018 Category: Research Tags: Curr Med Res Opin Source Type: research

Virtual Reality Design for Stroke Rehabilitation.
Authors: Charles D, Holmes D, Charles T, McDonough S Abstract Stroke is a leading cause of disability, and with the stroke survivor population rising in most countries it is increasingly difficult to provide optimal treatment to patients once they return home. Assistive technology solutions can potentially contribute to meeting demand, and also be cost effective. In this chapter, we consider the design and development of engaging serious virtual reality (VR) games for upper arm stroke rehabilitation. Fundamental design principles are summarised and related to our experience of creating game-based VR rehabilitation....
Source: Advances in Experimental Medicine and Biology - June 4, 2020 Category: Research Tags: Adv Exp Med Biol Source Type: research

Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review
Biomed Res Int. 2022 Nov 14;2022:2456550. doi: 10.1155/2022/2456550. eCollection 2022.ABSTRACTIschemic stroke is a cerebrovascular disease with a high morbidity and mortality rate, which poses a serious challenge to human health and life. Meanwhile, the management of ischemic stroke remains highly dependent on manual visual analysis of noncontrast computed tomography (CT) or magnetic resonance imaging (MRI). However, artifacts and noise of the equipment as well as the radiologist experience play a significant role on diagnostic accuracy. To overcome these defects, the number of computer-aided diagnostic (CAD) methods for i...
Source: Biomed Res - November 24, 2022 Category: Research Authors: Liyuan Cui Zhiyuan Fan Yingjian Yang Rui Liu Dajiang Wang Yingying Feng Jiahui Lu Yifeng Fan Source Type: research

Motor Lateralization Provides a Foundation for Predicting and Treating Non-paretic Arm Motor Deficits in Stroke.
We present a pilot study focused on improving the speed and coordination of ipsilesional arm function in a convenience sample of three stroke patients with severe contralesional impairment. Over a three-week period, patients received a total of nine 1.5 h sessions of training that included intense practice of virtual reality and real-life tasks. Our results indicated substantial improvements in ipsilesional arm movement kinematics, functional performance, and that these improvements carried over to improve functional independence. In addition, the contralesional arm improved in our measure of contralesional impairment, wh...
Source: Advances in Experimental Medicine and Biology - January 1, 2017 Category: Research Tags: Adv Exp Med Biol Source Type: research

Pericytes in Ischemic Stroke.
Authors: Dalkara T, Alarcon-Martinez L, Yemisci M Abstract Recent stroke research has shifted the focus to the microvasculature from neuron-centric views. It is increasingly recognized that a successful neuroprotection is not feasible without microvascular protection. On the other hand, recent studies on pericytes, long-neglected cells on microvessels have provided insight into the regulation of microcirculation. Pericytes play an essential role in matching the metabolic demand of nervous tissue with the blood flow in addition to regulating the development and maintenance of the blood-brain barrier (BBB), leukocyte...
Source: Advances in Experimental Medicine and Biology - June 1, 2019 Category: Research Tags: Adv Exp Med Biol Source Type: research

A New Approach to Transcranial Direct Current Stimulation in Improving Cognitive Motor Learning and Hand Function with the Nintendo Switch in Stroke Survivors.
CONCLUSIONS Our results suggest that inclusion of motor tasks with the application of tDCS may be effective in improving cognitive and hand function of stroke survivors. PMID: 31837648 [PubMed - in process]
Source: Medical Science Monitor - December 15, 2019 Category: Research Tags: Med Sci Monit Source Type: research

The improvement of spatial memory deficits in APP/V717I transgenic mice by chronic anti-stroke herb treatment
In China, herbal medicine has an extensive history for the treatment of cerebrovascular diseases. Clinical studies have shown that stroke patients are more likely to experience significant memory decline in comparison to their healthy counterparts. Cognition is improved in stroke patients treated with herbal medicine active components, Geniposide (GP) and Geniposide Rg1 (GRg1) (together, called TLJN). However, the effect of TLJN in Alzheimer disease remains unknown. Therefore, we investigated the behavioral effect of TLJN in male and female APP/V717I transgenic (Tg) mice. We conducted two different treatment strategies: (1...
Source: Experimental Biology and Medicine - July 28, 2014 Category: Research Authors: Yang, K., Tan, Y., Wang, F., Zhang, Q., Sun, P., Zhang, Y., Yao, N., Zhao, Y., Wang, X., Fan, A., Hua, Q. Tags: Neuroscience Source Type: research

Can Motor Recovery in Stroke Be Improved by Non-invasive Brain Stimulation?
Authors: Rothwell JC Abstract At the present time, there is enormous interest in methods of non-invasive brain stimulation. These interact with ongoing neural activity, mainly in cerebral cortex, and have measureable effects on behaviours in healthy people. More intriguingly, they appear to have effects on synaptic plasticity that persist even after stimulation has ceased. This has led, as might be expected, to the proposal that brain stimulation methods might be therapeutically useful in rehabilitation. The rationale is that physical therapy involves learning new patterns of activity to compensate for those lost t...
Source: Advances in Experimental Medicine and Biology - January 1, 2017 Category: Research Tags: Adv Exp Med Biol Source Type: research

Immune-inflammatory, coagulation, adhesion, and imaging biomarkers combined in machine learning models improve the prediction of death 1  year after ischemic stroke
In conclusion, imaging, immune-inflammatory, and coagulation biomarkers add predictive information to the NIHSS clinical score and these biomarkers in combination may act as predictors of 1-year mortality after IS. An early prediction of IS outcome is important for personalized therapeutic strategies that may improve the outcome of IS.
Source: Clinical and Experimental Medicine - June 12, 2021 Category: Research Source Type: research

Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke
Biomed Res Int. 2021 Aug 9;2021:5213550. doi: 10.1155/2021/5213550. eCollection 2021.ABSTRACTIn order to evaluate the importance of deep learning techniques in stroke diseases, this paper systematically reviews the relevant literature. Deep learning techniques have a significant impact on the diagnosis, treatment, and prediction of stroke. In addition, this study also discusses the current bottlenecks and the future development prospects of deep learning technology.PMID:34414235 | PMC:PMC8370809 | DOI:10.1155/2021/5213550
Source: Biomed Res - August 20, 2021 Category: Research Authors: Siqi Zhang Miao Zhang Shuai Ma Qingyong Wang Youyang Qu Zhongren Sun Tiansong Yang Source Type: research

The robotics helping stroke patients regain balance
Re-learning how to walk normally is an essential part of rehabilitation, especially for patients who have suffered a stroke. In Slovenia, the University Rehabilitation Institute in Ljubljana is testing a unique robot that not only helps people to walk again but also to regain a sense of balance.
Source: EUROPA - Research Information Centre - August 21, 2017 Category: Research Source Type: news