Journal of Neurorestoratology最新文献

{"title":"Analysis of causal relationship between immune cells and intracranial aneurysm: A mendelian randomization study","authors":"Yang Zhang ,&nbsp;Sifei Wang ,&nbsp;Yiming Huang ,&nbsp;Miaowen Jiang ,&nbsp;Baoying Song ,&nbsp;Di Wu ,&nbsp;Ming Wei ,&nbsp;Ming Li ,&nbsp;Xunming Ji","doi":"10.1016/j.jnrt.2024.100168","DOIUrl":"10.1016/j.jnrt.2024.100168","url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>Our study shows that immune cell traits and IAs are causally correlated, providing a new theoretical framework for understanding immune-IA crosstalk.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 1","pages":"Article 100168"},"PeriodicalIF":3.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Authors’ response to correspondence regarding “Application of deep brain stimulation and transcranial magnetic stimulation in stroke neurorestoration: A review”","authors":"Yanxi Chen,&nbsp;Wen Wang,&nbsp;Fangling Sun","doi":"10.1016/j.jnrt.2024.100161","DOIUrl":"10.1016/j.jnrt.2024.100161","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100161"},"PeriodicalIF":3.1,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to the Letter from Dr. Li et al. for “Two Sides of One Coin: Neurorestoratology and Neurorehabilitation”","authors":"Hongyun Huang,&nbsp;Hari Shanker Sharma,&nbsp;Lin Chen,&nbsp;Ali Otom,&nbsp;John R. Bach,&nbsp;Wagih S. El Masri","doi":"10.1016/j.jnrt.2024.100160","DOIUrl":"10.1016/j.jnrt.2024.100160","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100160"},"PeriodicalIF":3.1,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to Editor: Correspondence to \"Two sides of one coin: Neurorestoratology and Neurorehabilitation\"","authors":"Xiumin Li,&nbsp;Jie Wang,&nbsp;Yong Liu","doi":"10.1016/j.jnrt.2024.100159","DOIUrl":"10.1016/j.jnrt.2024.100159","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100159"},"PeriodicalIF":3.1,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"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]","authors":"Lingyu Zhang ,&nbsp;Caizhuo Cao ,&nbsp;Changyi Luo ,&nbsp;Huaqiang Ruan ,&nbsp;Chuang Xu ,&nbsp;Yan Wang ,&nbsp;Xiaoxia Jiang ,&nbsp;Gengsheng Mao","doi":"10.1016/j.jnrt.2024.100158","DOIUrl":"10.1016/j.jnrt.2024.100158","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100158"},"PeriodicalIF":3.1,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A predictive model for functionality improvement after stroke rehabilitation","authors":"Xue Yang ,&nbsp;Qian Liu ,&nbsp;Hongmei Zhang,&nbsp;Yihuan Lu,&nbsp;Liqing Yao","doi":"10.1016/j.jnrt.2024.100157","DOIUrl":"10.1016/j.jnrt.2024.100157","url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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).</div></div><div><h3>Conclusion</h3><div>A multivariate model can be used to predict functionality improvement, as measured by ADL, following hospitalization with a stroke.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 1","pages":"Article 100157"},"PeriodicalIF":3.1,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting stroke risk: An effective stroke prediction model based on neural networks","authors":"Aakanshi Gupta ,&nbsp;Nidhi Mishra ,&nbsp;Nishtha Jatana ,&nbsp;Shaily Malik ,&nbsp;Khaled A. Gepreel ,&nbsp;Farwa Asmat ,&nbsp;Sachi Nandan Mohanty","doi":"10.1016/j.jnrt.2024.100156","DOIUrl":"10.1016/j.jnrt.2024.100156","url":null,"abstract":"<div><h3>Background</h3><div>Stroke is the leading worldwide cause of disability and death. Effective stroke prevention and management depend on early identification of stroke risk.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 1","pages":"Article 100156"},"PeriodicalIF":3.1,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to Editor: Authors' response to “Respondence of ‘Brain iron deposition and whole-exome sequencing of non-Wilson's disease hypoceruloplasminemia in a family’”","authors":"Min Xu,&nbsp;Jian-Zhong Yi,&nbsp;Xiao-Ping Wang","doi":"10.1016/j.jnrt.2024.100155","DOIUrl":"10.1016/j.jnrt.2024.100155","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100155"},"PeriodicalIF":3.1,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2324242624000627/pdfft?md5=7c590c63c0cd37f723a13ec4acdef07b&pid=1-s2.0-S2324242624000627-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reviving consciousness: The impact of short-term spinal cord stimulation on patients with early-onset prolonged disorders of consciousness","authors":"Qiang Chen ,&nbsp;Weilong Huang ,&nbsp;Jianhong Tang ,&nbsp;Guohui Ye ,&nbsp;Hongliang Meng ,&nbsp;Qing Jiang ,&nbsp;Linying Ge ,&nbsp;HuiChen Li ,&nbsp;Lin Liu ,&nbsp;Qiuhua Jiang ,&nbsp;Dong Wang","doi":"10.1016/j.jnrt.2024.100143","DOIUrl":"10.1016/j.jnrt.2024.100143","url":null,"abstract":"<div><h3>Introduction</h3><div>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.</div></div><div><h3>Material and methods</h3><div>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.</div></div><div><h3>Results</h3><div>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 (<em>p &lt;</em> 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 (&lt;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 (<em>p</em> &lt; 0.05).</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 1","pages":"Article 100143"},"PeriodicalIF":3.1,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research hotspots and global trends in transcranial magnetic stimulation for stroke neurorestoration: A 30-year bibliometric analysis","authors":"Haozheng Li ,&nbsp;Chong Guan ,&nbsp;Dongxiang Fang ,&nbsp;Yang Yang ,&nbsp;Mengying Hsieh ,&nbsp;Zhiyuan Xu ,&nbsp;Qing Yang ,&nbsp;Yi Wu ,&nbsp;Ruiping Hu","doi":"10.1016/j.jnrt.2024.100148","DOIUrl":"10.1016/j.jnrt.2024.100148","url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 1","pages":"Article 100148"},"PeriodicalIF":3.1,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}