Journal of Neurorestoratology最新文献

英文中文

Analysis of causal relationship between immune cells and intracranial aneurysm: A mendelian randomization study 免疫细胞与颅内动脉瘤的因果关系分析：孟德尔随机化研究

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-11-15 DOI: 10.1016/j.jnrt.2024.100168

Yang Zhang , Sifei Wang , Yiming Huang , Miaowen Jiang , Baoying Song , Di Wu , Ming Wei , Ming Li , Xunming Ji

Background

Immune cells have been detected in intracranial aneurysms (IAs). However, the causal effect of immune cell phenotypes on IAs remains unclear and difficult to comprehensively analyze.

Methods

Instrumental variables for 731 immunophenotypes were extracted from publicly available genetic databases. The influence of these immune cell traits on IAs was evaluated using the Mendelian randomization (MR) method. Five MR analysis methods, with inverse-variance-weighted as the main method, along with a comprehensive sensitivity analysis, were used to determine reliability of the results. Multivariable MR analysis was performed to correct for interactions between different immune cell phenotypes.

Results

Overall, 27 immune cell traits exhibited significant causal effects on IAs. Among them, 13 immunophenotypes increased the risk of IA progression. Conversely, 14 immune cell characteristics might protect against IAs. Following false discovery rate correction, two hazardous and three protective immunophenotypes remained significant. Moreover, multivariate MR analysis showed that only naive CD4− CD8− T cells %T cells remained causally associated with a risk of IA, while CD19 on IgD+ CD38− naive B cells inhibited development of IAs.

Conclusions

Our study shows that immune cell traits and IAs are causally correlated, providing a new theoretical framework for understanding immune-IA crosstalk.

背景在颅内动脉瘤（IAs）中发现了免疫细胞。方法从公开的遗传数据库中提取了 731 种免疫表型的工具变量。采用孟德尔随机化（MR）方法评估了这些免疫细胞性状对IAs的影响。以反方差加权法为主要方法的五种 MR 分析方法以及全面的敏感性分析被用来确定结果的可靠性。进行了多变量 MR 分析，以校正不同免疫细胞表型之间的相互作用。其中，13种免疫表型增加了IA进展的风险。相反，有 14 种免疫细胞特征可预防原发性心肌梗死。经误诊率校正后，两种危险性免疫表型和三种保护性免疫表型仍具有显著性。此外，多变量 MR 分析表明，只有天真 CD4- CD8- T 细胞 %T 细胞仍与 IA 风险存在因果关系，而 IgD+ CD38- 天真 B 细胞上的 CD19 可抑制 IA 的发展。

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引用次数: 0

Authors’ response to correspondence regarding “Application of deep brain stimulation and transcranial magnetic stimulation in stroke neurorestoration: A review” 作者对有关 "脑深部刺激和经颅磁刺激在中风神经恢复中的应用：综述"

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-10-22 DOI: 10.1016/j.jnrt.2024.100161

Yanxi Chen, Wen Wang, Fangling Sun

引用次数: 0

Response to the Letter from Dr. Li et al. for “Two Sides of One Coin: Neurorestoratology and Neurorehabilitation” 对李博士等人就 "一枚硬币的两面：神经恢复学和神经康复"

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-10-19 DOI: 10.1016/j.jnrt.2024.100160

Hongyun Huang, Hari Shanker Sharma, Lin Chen, Ali Otom, John R. Bach, Wagih S. El Masri

引用次数: 0

Letter to Editor: Correspondence to "Two sides of one coin: Neurorestoratology and Neurorehabilitation" 致编辑的信致 "一枚硬币的两面：神经恢复学和神经康复 "的通信

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-10-12 DOI: 10.1016/j.jnrt.2024.100159

Xiumin Li, Jie Wang, Yong Liu

引用次数: 0

Corrigendum to “Comparison of chronic restraint stress-and lipopolysaccharide-induced mouse models of depression: Behavior, c-Fos expression, and microglial and astrocytic activation” [J Neurorestoratol 12 (2024) 100130] 慢性束缚应激和脂多糖诱导的抑郁小鼠模型的比较：行为、c-Fos表达以及小胶质细胞和星形胶质细胞活化" [J Neurorestoratol 12 (2024) 100130] 的更正

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-09-27 DOI: 10.1016/j.jnrt.2024.100158

Lingyu Zhang , Caizhuo Cao , Changyi Luo , Huaqiang Ruan , Chuang Xu , Yan Wang , Xiaoxia Jiang , Gengsheng Mao

引用次数: 0

A predictive model for functionality improvement after stroke rehabilitation 中风康复后功能改善的预测模型

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-09-17 DOI: 10.1016/j.jnrt.2024.100157

Xue Yang , Qian Liu , Hongmei Zhang, Yihuan Lu, Liqing Yao

Background

This study develops a simple predictive model for identifying stroke patients who have a better chance of showing improved activities of daily living (ADL) outcomes following a stroke.

Methods

The cohort of 489 stroke patients was divided into testing and training groups. Multivariate logistic regression analysis was conducted for each model. Four models were compared using the C statistic (AUC), Akaike's information criterion (AIC), and other metrics. The best model was assessed using a nomogram.

Results

Univariate analysis revealed that several variables measured significantly higher at discharge than at admission, including manual muscle testing, standing, and so on. Multivariate logistic regression analysis revealed that activities-specific balance confidence, Brunnstrom recovery stage for lower extremities, standing, the mini-balance evaluation systems test, and the Hamilton anxiety scale were independent predictors of ADL. Model 1 was found to be more accurate for the prediction of ADL (AUC: training, 0.916 [0.889−0.943] and test, 0.887 [0.806−0.968]; AIC: training, 257.42 and test, 76.79) than model 2 (AUC: training, 0.850 [0.894−0.806] and test, 0.819 [0.715−0.923]; AIC: training, 314.44 and test, 83.78), model 3 (AUC: training, 0.862 [0.901−0.823] and test, 0.830 [0.731−0.929]; AIC: training, 307.76 and test, 86.55), and model 4 (AUC: training, 0.862 [0.901−0.823] and test, 0.833 [0.733−0.932]; AIC: training, 305.8 and test, 86.28).

Conclusion

A multivariate model can be used to predict functionality improvement, as measured by ADL, following hospitalization with a stroke.

背景本研究建立了一个简单的预测模型，用于识别中风后日常生活活动（ADL）改善机会更大的中风患者。方法将 489 名中风患者分为测试组和训练组。每个模型都进行了多变量逻辑回归分析。使用 C 统计量（AUC）、阿凯克信息准则（AIC）和其他指标对四个模型进行比较。结果多元分析显示，出院时测量的几个变量明显高于入院时测量的变量，包括手动肌肉测试、站立等。多变量逻辑回归分析显示，特定活动平衡信心、下肢布伦斯特罗姆恢复阶段、站立、迷你平衡评估系统测试和汉密尔顿焦虑量表是ADL的独立预测指标。结果发现，模型 1 对 ADL 的预测更为准确（AUC：训练为 0.916 [0.889-0.943]，测试为 0.887 [0.806-0.968]；AIC：训练为 257.42，测试为 76.79）高于模型 2（AUC：训练，0.850 [0.894-0.806]，测试，0.819 [0.715-0.923]；AIC：训练，314.44，测试，83.78）、模型 3（AUC：训练，0.862 [0.901-0.结论多变量模型可用于预测脑卒中住院后以 ADL 衡量的功能改善情况。

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引用次数: 0

Predicting stroke risk: An effective stroke prediction model based on neural networks 预测中风风险：基于神经网络的有效中风预测模型

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-09-07 DOI: 10.1016/j.jnrt.2024.100156

Aakanshi Gupta , Nidhi Mishra , Nishtha Jatana , Shaily Malik , Khaled A. Gepreel , Farwa Asmat , Sachi Nandan Mohanty

Background

Stroke is the leading worldwide cause of disability and death. Effective stroke prevention and management depend on early identification of stroke risk.

Methods

Eight machine learning algorithms are applied to predict stroke risk using a well-curated dataset with pertinent clinical information. This paper describes a thorough investigation of stroke prediction using various machine learning methods.

Results

The empirical evaluation yields encouraging results, with the logistic regression, support vector machine, and K-nearest neighbors models achieving an impressive accuracy of 95.04%, and the random forest and neural network models scoring even better, with accuracies of 95.10% and 95.16%, respectively. The neural network exhibits slightly superior performance, indicating its potential as a reliable model for stroke risk assessment.

Conclusions

The empirical evaluation underscores the ability of neural networks to discern intricate data relationships. These findings offer valuable insights for healthcare professionals and researchers, aiding in the development of improved stroke prevention strategies and timely interventions, ultimately enhancing patient outcomes.

背景中风是全球致残和致死的主要原因。有效的脑卒中预防和管理有赖于早期识别脑卒中风险。方法采用八种机器学习算法，利用精心收集的数据集和相关临床信息预测脑卒中风险。结果实证评估结果令人鼓舞，逻辑回归、支持向量机和 K-nearest neighbors 模型的准确率达到了令人印象深刻的 95.04%，随机森林和神经网络模型的准确率更高，分别为 95.10% 和 95.16%。神经网络的表现略胜一筹，表明它有潜力成为中风风险评估的可靠模型。这些发现为医疗保健专业人员和研究人员提供了宝贵的见解，有助于制定更好的中风预防策略和及时的干预措施，最终改善患者的预后。

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引用次数: 0

Letter to Editor: Authors' response to “Respondence of ‘Brain iron deposition and whole-exome sequencing of non-Wilson's disease hypoceruloplasminemia in a family’” 致编辑的信：作者对"'一个家族非威尔逊氏病低铁蛋白血症的脑铁沉积和全外显子测序'的回应 "的回复

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-08-26 DOI: 10.1016/j.jnrt.2024.100155

Min Xu, Jian-Zhong Yi, Xiao-Ping Wang

引用次数: 0

Reviving consciousness: The impact of short-term spinal cord stimulation on patients with early-onset prolonged disorders of consciousness 恢复意识：短期脊髓刺激对早发长时间意识障碍患者的影响

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-08-24 DOI: 10.1016/j.jnrt.2024.100143

Qiang Chen , Weilong Huang , Jianhong Tang , Guohui Ye , Hongliang Meng , Qing Jiang , Linying Ge , HuiChen Li , Lin Liu , Qiuhua Jiang , Dong Wang

Introduction

Managing prolonged disorders of consciousness (pDoC) presents a significant clinical challenge despite numerous available therapies. While short-term spinal cord stimulation (st-SCS) for over 3 months has been recognized as an effective treatment for pDoC, its efficacy within the first 3 months remains unclear. This study explores st-SCS's impact on patients with pDoC for less than 3 months.

Material and methods

We enrolled 141 pDoC patients within 3 months of onset; 104 received st-SCS, and 37 underwent conservative treatment. Consciousness levels were assessed using the Coma Recovery Scale-Revised (CRS-R) before treatment, 2 weeks after, and at 3-month follow-up.

Results

Comparing the data from the 3-month follow-up, we found that, the st-SCS group showed significantly greater improvement in CRS-R scores compared to the control group (p < 0.01), with more patients showing symptom amelioration (51/104 (49%)). Further analysis of the st-SCS treatment group showed significant improvement in CRS-R scores after 2 weeks (T1) and at the 3-month follow-up (T2) compared to baseline (T0). Both consciousness levels and specific CRS-R items improved notably post-treatment. Younger patients (<40 years) with traumatic brain injury and higher initial CRS-R scores were more likely to experience positive outcomes. Additionally, multivariate logistic regression identified etiology, time since injury, and initial CRS-R score as significant predictors of the 3-month outcome (p < 0.05).

Conclusions

st-SCS is an effective treatment for pDoC within 3 months of onset, particularly for younger patients and those with trauma-induced conditions, significantly improving consciousness and outcomes.

导言尽管现有的治疗方法很多，但治疗长时间意识障碍（pDoC）仍是一项重大的临床挑战。虽然持续 3 个月以上的短期脊髓刺激（st-SCS）被认为是治疗意识障碍的有效方法，但其在最初 3 个月内的疗效仍不明确。本研究探讨了st-SCS对发病不足3个月的pDoC患者的影响。材料和方法我们招募了141名发病3个月内的pDoC患者，其中104人接受了st-SCS，37人接受了保守治疗。结果比较 3 个月的随访数据，我们发现，与对照组相比，st-SCS 组的 CRS-R 评分有明显改善（p <0.01），更多患者的症状得到改善（51/104 (49%)）。对 st-SCS 治疗组的进一步分析显示，与基线（T0）相比，CRS-R 评分在 2 周后（T1）和 3 个月随访（T2）时均有显著改善。意识水平和特定的 CRS-R 项目在治疗后都有明显改善。年龄较轻（40 岁）的脑外伤患者和初始 CRS-R 评分较高的患者更有可能获得积极的疗效。此外，多变量逻辑回归确定病因、受伤后时间和初始 CRS-R 评分是 3 个月疗效的重要预测因素（p <0.05）。结论st-SCS 是治疗发病 3 个月内 pDoC 的有效方法，尤其适用于年轻患者和有创伤的患者，可显著改善意识和疗效。

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引用次数: 0

Research hotspots and global trends in transcranial magnetic stimulation for stroke neurorestoration: A 30-year bibliometric analysis 经颅磁刺激治疗脑卒中神经恢复的研究热点和全球趋势：30 年文献计量分析

IF 3.1 4区医学 Q2 CLINICAL NEUROLOGY

Journal of Neurorestoratology

Pub Date : 2024-08-22 DOI: 10.1016/j.jnrt.2024.100148

Haozheng Li , Chong Guan , Dongxiang Fang , Yang Yang , Mengying Hsieh , Zhiyuan Xu , Qing Yang , Yi Wu , Ruiping Hu

Background

Stroke patients often experience various functional impairments. Transcranial magnetic stimulation (TMS) has emerged as a novel non-invasive brain stimulation technique, and has gained widespread attention over the past 30 years for its application in stroke. The present study used bibliometric and content analysis methods to explore the research hotspots and future trends of TMS in stroke, with an aim to provide benefits for subsequent research.

Methods

Publications and reviews related to TMS in stroke from 1992 to 2022 were retrieved from the Web of Science Core Collection database. Data visualization and analysis were performed using CiteSpace, VOSviewer, and Scimago Graphica.

Results

We included 1666 papers in the analysis and noted an increasing trend in annual publication volume. Collaboration network analysis revealed close cooperation among scholars from these major countries and institutions. Emerging keywords included TMS, stroke, recovery, rehabilitation, rTMS, plasticity, cortex, excitability, upper limb, and tDCS. Keyword citation bursts appeared to be shifting toward clinical applications, including functional connectivity, systematic reviews, double-blind studies, connectivity, injury, and dysphagia.

Conclusion

Our study indicates substantial growth in TMS publications and citations in stroke rehabilitation since 2006, suggesting a maturing field that is advancing toward more sophisticated treatment protocols. The increasing relevance of TMS in neurological and rehabilitative applications highlights its potential for promoting post-stroke recovery. Emerging keywords such as brain functional connectivity, systematic reviews, and double-blind studies highlight a shift toward clinical applications. The future of TMS in stroke rehabilitation promises continued growth, interdisciplinary approaches, and improved patient outcomes.

背景中风患者经常会出现各种功能障碍。经颅磁刺激（TMS）作为一种新型的非侵入性脑刺激技术，在过去 30 年中因其在脑卒中中的应用而受到广泛关注。本研究采用文献计量学和内容分析法探讨了脑卒中经颅磁刺激的研究热点和未来趋势，旨在为后续研究提供借鉴。方法从科学网核心收藏数据库中检索了 1992 年至 2022 年与脑卒中经颅磁刺激相关的文献和综述。结果我们分析了1666篇论文，发现年发表量呈上升趋势。合作网络分析显示，这些主要国家和机构的学者之间合作密切。新出现的关键词包括 TMS、中风、恢复、康复、rTMS、可塑性、皮层、兴奋性、上肢和 tDCS。我们的研究表明，自 2006 年以来，TMS 在中风康复领域的发表和引用量大幅增长，这表明该领域正在走向成熟，并向更复杂的治疗方案迈进。TMS 在神经学和康复应用中的相关性日益增强，突显了其促进中风后康复的潜力。大脑功能连接、系统回顾和双盲研究等新兴关键词凸显了向临床应用的转变。TMS 在脑卒中康复领域的未来将是持续增长、跨学科方法和改善患者预后。

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