Suppr超能文献

研究小脑经颅直流电刺激促进慢性卒中患者中风后地面行走步态表现的可行性:一种偏最小二乘回归方法。

Investigating the feasibility of cerebellar transcranial direct current stimulation to facilitate post-stroke overground gait performance in chronic stroke: a partial least-squares regression approach.

作者信息

Solanki Dhaval, Rezaee Zeynab, Dutta Anirban, Lahiri Uttama

机构信息

Electrical Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India.

Biomedical Engineering, University at Buffalo SUNY, New York, USA.

出版信息

J Neuroeng Rehabil. 2021 Jan 28;18(1):18. doi: 10.1186/s12984-021-00817-3.

Abstract

BACKGROUND

Investigation of lobule-specific electric field effects of cerebellar transcranial direct current stimulation (ctDCS) on overground gait performance has not been performed, so this study aimed to investigate the feasibility of two lobule-specific bilateral ctDCS montages to facilitate overground walking in chronic stroke.

METHODS

Ten chronic post-stroke male subjects participated in this repeated-measure single-blind crossover study, where we evaluated the single-session effects of two bilateral ctDCS montages that applied 2 mA via 3.14 cm disc electrodes for 15 min targeting (a) dentate nuclei (also, anterior and posterior lobes), and (b) lower-limb representations (lobules VIIb-IX). A two-sided Wilcoxon rank-sum test was performed at a 5% significance level on the percent normalized change measures in the overground gait performance. Partial least squares regression (PLSR) analysis was performed on the quantitative gait parameters as response variables to the mean lobular electric field strength as the predictors. Clinical assessments were performed with the Ten-Meter walk test (TMWT), Timed Up & Go (TUG), and the Berg Balance Scale based on minimal clinically important differences (MCID).

RESULTS

The ctDCS montage specific effect was found significant using a two-sided Wilcoxon rank-sum test at a 5% significance level for 'Step Time Affected Leg' (p = 0.0257) and '%Stance Time Unaffected Leg' (p = 0.0376). The changes in the quantitative gait parameters were found to be correlated to the mean electric field strength in the lobules based on PLSR analysis (R statistic = 0.6574). Here, the mean electric field strength at the cerebellar lobules, Vermis VIIIb, Ipsi-lesional IX, Vermis IX, Ipsi-lesional X, had the most loading and were positively related to the 'Step Time Affected Leg' and '%Stance Time Unaffected Leg,' and negatively related to the '%Swing Time Unaffected Leg,' '%Single Support Time Affected Leg.' Clinical assessments found similar improvement in the TMWT (MCID: 0.10 m/s), TUG (MCID: 8 s), and BBS score (MCID: 12.5 points) for both the ctDCS montages.

CONCLUSION

Our feasibility study found an association between the lobular mean electric field strength and the changes in the quantitative gait parameters following a single ctDCS session in chronic stroke. Both the ctDCS montages improved the clinical outcome measures that should be investigated with a larger sample size for clinical validation.

TRIAL REGISTRATION

Being retrospectively registered.

摘要

背景

尚未对小脑经颅直流电刺激(ctDCS)对地面步态表现的小叶特异性电场效应进行研究,因此本研究旨在探讨两种小叶特异性双侧ctDCS方案促进慢性卒中患者地面行走的可行性。

方法

10名慢性卒中男性受试者参与了这项重复测量单盲交叉研究,我们评估了两种双侧ctDCS方案的单次治疗效果,这两种方案通过3.14平方厘米的圆盘电极施加2毫安电流,持续15分钟,分别针对(a)齿状核(以及前叶和后叶),和(b)下肢代表区(小叶VIIb-IX)。对地面步态表现的标准化变化百分比测量值进行双侧Wilcoxon秩和检验,显著性水平为5%。以平均小叶电场强度作为预测变量,对定量步态参数进行偏最小二乘回归(PLSR)分析作为响应变量。基于最小临床重要差异(MCID),采用十米步行测试(TMWT)、定时起立行走测试(TUG)和伯格平衡量表进行临床评估。

结果

使用双侧Wilcoxon秩和检验,在5%显著性水平下发现ctDCS方案对“患侧步时”(p = 0.0257)和“健侧支撑时间百分比”(p = 0.0376)有显著的特异性效应。基于PLSR分析,发现定量步态参数的变化与小叶中的平均电场强度相关(R统计量 = 0.6574)。在此,小脑小叶、蚓部VIIIb、患侧IX、蚓部IX、患侧X处的平均电场强度载荷最大,与“患侧步时”和“健侧支撑时间百分比”呈正相关,与“健侧摆动时间百分比”、“患侧单支撑时间”呈负相关。临床评估发现,两种ctDCS方案在TMWT(MCID:0.10米/秒)、TUG(MCID:8秒)和BBS评分(MCID:1​​2.5分)方面均有类似改善。

结论

我们通过可行性研究发现,慢性卒中患者单次ctDCS治疗后,小叶平均电场强度与定量步态参数变化之间存在关联。两种ctDCS方案均改善了临床结局指标,应通过更大样本量进行研究以进行临床验证。

试验注册

正在进行回顾性注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd20/7842063/c7271ab2ae38/12984_2021_817_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验