Leon-Sarmiento Fidias E, Rizzo-Sierra Carlos V, Leon-Ariza Juan S, Leon-Ariza Daniel S, Sobota Rosanna, Prada Diddier G
Smell and Taste Center, Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, USA; Mediciencias Research Group, Unicolciencias/Universidad Nacional, Bogota, Colombia.
Center for Advanced Research in Neurophysiology, SVYASA University, Bangalore, India; Charity Association for Person Centered Medicine-Moral Entity, Bologna, Italy.
Physiol Behav. 2015 Mar 15;141:111-9. doi: 10.1016/j.physbeh.2015.01.014. Epub 2015 Jan 14.
The jiggle of the motor evoked potential (MEP) induced by transcranial magnetic stimulation (TMS) depends on a number of factors including the assessment of this stochastic signal by the method known as area under curve (AUC). We aim to ascertain the MEP findings assessed by the AUC method obtained from individuals affected by lesions at different levels of the neuroaxis.
We systematically search and critically appraise the scientific reports publishing on the MEP obtained from individuals with hypo- or hyperkinetic disorders of the neural system, and dissect the neurophysical assessment of the obtained data. To accomplish this, we used the instruments named to as U-Pen Instrument for Neurometric Evaluation Uncommonly and Rarely Obtained from NeuroSignals 1.0 (UPINEURON 1.0), and the Quality of Assessment Statistics Index (QuASI).
The MEP differences found by the classical peak-to-peak method decreased or disappeared when the AUC was used. The opposite was also true (Kappa=<0.00). The internal consistency of the UPINEURON was 0.88. The mean of the UPINEURON 1.0 indicator was 34.8 (range=16-50), and the mean of the QuASI scores was 56.5 (range 30-80). Spearman correlation between UPINEURON 1.0 and QuASI was 0.513.
The MEP jiggle found in individuals with disordered neural function is not a "minor" factor; it is beyond the underlying neural condition, sample size, type of coils, and number of trials, among other variables. The use of the novel indicators introduced in this investigation will help to improve the analysis of the AUC of neural signals. They may also lead to the reconsideration of current practices.
经颅磁刺激(TMS)诱发的运动诱发电位(MEP)的抖动取决于多种因素,包括通过曲线下面积(AUC)方法对这种随机信号的评估。我们旨在确定通过AUC方法评估的MEP结果,这些结果来自神经轴不同水平受损的个体。
我们系统地搜索并批判性评价了关于从患有神经系统运动功能减退或亢进疾病的个体获得的MEP的科学报告,并剖析了所获数据的神经物理学评估。为实现这一目标,我们使用了名为神经信号1.0中罕见获得的神经测量评估U型笔仪器(UPINEURON 1.0)以及评估统计指数质量(QuASI)。
当使用AUC时,经典的峰峰值方法发现的MEP差异减小或消失。反之亦然(卡帕值<0.00)。UPINEURON的内部一致性为0.88。UPINEURON 1.0指标的平均值为34.8(范围=16 - 50),QuASI分数的平均值为56.5(范围30 - 80)。UPINEURON 1.0与QuASI之间的斯皮尔曼相关性为0.513。
在神经功能紊乱个体中发现的MEP抖动不是一个“次要”因素;它不受潜在神经状况、样本量、线圈类型和试验次数等其他变量的影响。本研究中引入的新指标的使用将有助于改进神经信号AUC的分析。它们也可能导致对当前做法的重新考虑。