Guerra Andrea, López-Alonso Virginia, Cheeran Binith, Suppa Antonio
Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy.
Department of Physical Activity and Sport Sciences, "Centro de Enseñanza Superior Alberta Giménez" Comillas Pontifical University, Costa de Saragossa 16, 07013, Palma, Spain.
Neurosci Lett. 2020 Feb 6;719:133330. doi: 10.1016/j.neulet.2017.12.058. Epub 2017 Dec 30.
Non-invasive brain stimulation techniques (NIBS), such as Theta Burst Stimulation (TBS), Paired Associative Stimulation (PAS) and transcranial Direct Current Stimulation (tDCS), are widely used to probe plasticity in the human motor cortex (M1). Although TBS, PAS and tDCS differ in terms of physiological mechanisms responsible for experimentally-induced cortical plasticity, they all share the ability to elicit long-term potentiation (LTP) and depression (LTD) in M1. However, NIBS techniques are all affected by relevant variability in intra- and inter-subject responses. A growing number of factors contributing to NIBS variability have been recently identified and reported. In this review, we have readdressed the issue of variability in human NIBS studies. We have first briefly discussed the physiological mechanisms responsible for TBS, PAS and tDCS-induced cortical plasticity. Then, we have provided statistical measures of intra- and inter-subject variability, as calculated in previous studies. Finally, we have reported in detail known sources of variability by categorizing them into physiological, technical and statistical factors. Improving knowledge about sources of variability could lead to relevant advances in designing new tailored NIBS protocols in physiological and pathological conditions.
非侵入性脑刺激技术(NIBS),如theta爆发刺激(TBS)、配对联想刺激(PAS)和经颅直流电刺激(tDCS),被广泛用于探究人类运动皮层(M1)的可塑性。尽管TBS、PAS和tDCS在引起实验性皮层可塑性的生理机制方面存在差异,但它们都具有在M1中引发长时程增强(LTP)和长时程抑制(LTD)的能力。然而,NIBS技术均受个体内和个体间反应的相关变异性影响。最近,越来越多导致NIBS变异性的因素已被识别和报道。在本综述中,我们重新探讨了人类NIBS研究中的变异性问题。我们首先简要讨论了TBS、PAS和tDCS诱导皮层可塑性的生理机制。然后,我们提供了先前研究中计算出的个体内和个体间变异性的统计测量方法。最后,我们通过将已知的变异性来源分为生理、技术和统计因素进行了详细报道。提高对变异性来源的认识可能会在设计生理和病理条件下新的定制NIBS方案方面取得相关进展。