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Total 6766 results found since Jan 2013.

A novel stroke rehabilitation strategy and underlying stress granule regulations through inhibition of NLRP3 inflammasome activation
CONCLUSIONS: RIC followed by exercise induced a better rehabilitation in ischemic rats, while early RIC alleviated ischemia-reperfusion injury via stress-granule-mediated inhibition of NLRP3 inflammasome.PMID:37580991 | DOI:10.1111/cns.14405
Source: CNS Neuroscience and Therapeutics - August 15, 2023 Category: Neuroscience Authors: Qingzhu Wang Wesley Kohls Melissa Wills Fengwu Li Qi Pang Xiaokun Geng Yuchuan Ding Source Type: research

Gene therapy of adeno-associated virus (AAV) vectors in preclinical models of ischemic stroke
CNS Neurosci Ther. 2023 Aug 8. doi: 10.1111/cns.14392. Online ahead of print.ABSTRACTStroke has been associated with devastating clinical outcomes, with current treatment strategies proving largely ineffective. Therefore, there is a need to explore alternative treatment options for addressing post-stroke functional deficits. Gene therapy utilizing adeno-associated viruses (AAVs) as a critical gene vector delivering genes to the central nervous system (CNS) gene delivery has emerged as a promising approach for treating various CNS diseases. This review aims to provide an overview of the biological characteristics of AAV vec...
Source: CNS Neuroscience and Therapeutics - August 8, 2023 Category: Neuroscience Authors: Jing Wang Mengna Zhu Jingyi Sun Lina Feng Mingfeng Yang Baoliang Sun Leilei Mao Source Type: research

A Novel Algorithmic Structure of EEG Channel Attention Combined With Swin Transformer for Motor Patterns Classification
With the development of brain-computer interfaces (BCI) technologies, EEG-based BCI applications have been deployed for medical purposes. Motor imagery (MI), applied to promote neural rehabilitation for stroke patients, is among the most common BCI paradigms that. The Electroencephalogram (EEG) signals, encompassing an extensive range of channels, render the training dataset a high-dimensional construct. This high dimensionality, inherent in such a dataset, tends to challenge traditional deep learning approaches, causing them to potentially disregard the intrinsic correlations amongst these channels. Such an oversight ofte...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - August 8, 2023 Category: Neuroscience Source Type: research

Exoskeleton-Assisted Sit-to-Stand Training Improves Lower-Limb Function Through Modifications of Muscle Synergies in Subacute Stroke Survivors
Abnormal muscle synergies during sit-to-stand (STS) transitions have been observed post-stroke, which are associated with deteriorated lower-limb function and mobility. Although exoskeletons have been used in restoring lower-limb function, their effects on muscle synergies and lower-limb motor recovery remain unclear. Here, we characterized normal muscle synergy patterns during STS activity in ten healthy adults as a reference, comparing with pathological muscle synergy patterns in ten participants with subacute stroke. Moreover, we assessed the effects of a 3-week exoskeleton-assisted STS training intervention on muscle s...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - August 4, 2023 Category: Neuroscience Source Type: research

An Intelligent Rehabilitation Assessment Method for Stroke Patients Based on Lower Limb Exoskeleton Robot
The 6-min walk distance (6MWD) and the Fugl-Meyer assessment lower-limb subscale (FMA-LE) of the stroke patients provide the critical evaluation standards for the effect of training and guidance of the training programs. However, gait assessment for stroke patients typically relies on manual observation and table scoring, which raises concerns about wasted manpower and subjective observation results. To address this issue, this paper proposes an intelligent rehabilitation assessment method (IRAM) for rehabilitation assessment of the stroke patients based on sensor data of the lower limb exoskeleton robot. Firstly, the feat...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - August 4, 2023 Category: Neuroscience Source Type: research

Lower-Limb Non-Parametric Functional Muscle Network: Test-Retest Reliability Analysis
Functional muscle network analysis has attracted a great deal of interest in recent years, promising high sensitivity to changes of intermuscular synchronicity, studied mostly for healthy subjects and recently for patients living with neurological conditions (e.g., those caused by stroke). Despite the promising results, the between- and within-session reliability of the functional muscle network measures are yet to be established. Here, for the first time, we question and evaluate the test-retest reliability of non-parametric lower-limb functional muscle networks for controlled and lightly-controlled tasks, i.e., sit-to-st...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - August 1, 2023 Category: Neuroscience Source Type: research

Linkage Disequilibrium between LDLR rs688 and AvaII Genes and its Significant Association with Ischemic Stroke
CONCLUSIONS: Linkage disequilibrium existed between LDLR rs688 and AvaII genes. With the wild type gene (WT) (rs688/AvaII: CC/TT) as reference, rs688/AvaII: CT/TC, CT/CC and TT/CC increased the risk of ischemic stroke, which might be a genetic marker used for the screen of high-risk population contributing to the prevention of the disease.PMID:37519169 | DOI:10.31083/j.jin2204094
Source: Journal of Integrative Neuroscience - July 31, 2023 Category: Neuroscience Authors: Yabin Chen Hehui Cai Jianming Zhang Yongfa Su Yibo Wu Zhenzhong Lin Zhishan Zhang Source Type: research

Screening Serum Biomarkers for Rats Preconditioned with Hyperbaric Oxygen: Potential of Predicting Prognosis for Stroke
CONCLUSIONS: Haemopexin may be developed as a predictive biomarker that indicated the effectiveness of a preconditioning strategy against cerebral ischaemic injury.PMID:37519161 | DOI:10.31083/j.jin2204103
Source: Journal of Integrative Neuroscience - July 31, 2023 Category: Neuroscience Authors: Beibei Dong Yuanyuan Bai Qi Jia Lin Su Xinyue Zhang Shiquan Wang Zongping Fang Source Type: research

The Role of Mitochondrial Biogenesis in Ischemic Stroke
J Integr Neurosci. 2023 Jul 5;22(4):88. doi: 10.31083/j.jin2204088.ABSTRACTIschaemic stroke is a sudden neurological disorder caused by localised cerebral ischaemia and persistent cerebral infarction. Occlusion of large arteries due to atherothrombosis, cerebral embolism (i.e., embolic infarction), no thrombotic occlusion in small, deep cerebral arteries (i.e., lacunar infarction), and stenosis of proximal arteries due to hypotension leading to decreased cerebral blood flow in arterial supply zones are the most common causes of ischemic stroke (i.e., hemodynamic stroke). It is now known that organelles play an important ro...
Source: Journal of Integrative Neuroscience - July 31, 2023 Category: Neuroscience Authors: Behrouz Shademan Cigir Biray Avci Vahidreza Karamad Gholamreza Jahangirzadeh Soureh Jalhe Bagheri Hamzyan Olia Farzaneh Esmaily Alireza Nourazarian Masoud Nikanfar Source Type: research

Supra-Blan 2 t score as a multisystem-based risk score to predict poor 3-month outcome in acute ischemic stroke patients with intravenous thrombolysis
CONCLUSION: The Supra-Blan2 t score, based on easily available multisystem laboratory and clinical variables, reliably predicted poor 3-month functional outcome in AIS patients treated with IVT therapy featuring good calibration and discrimination.PMID:37519114 | DOI:10.1111/cns.14381
Source: CNS Neuroscience and Therapeutics - July 31, 2023 Category: Neuroscience Authors: Huijuan Jin Qiwei Peng Min Li Shuai Sun Jinghua Zhou Jichuan Hu Ming Huang Xinglong Chen Yanan Li Yifan Zhou Yan Wan Candong Hong Shengcai Chen Bo Hu Source Type: research

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