Kim Soyoung, Stephenson Mary C, Morris Peter G, Jackson Stephen R
Brain and Body Centre, School of Psychology, University of Nottingham, UK.
Sir Peter Mansfield Magnetic Resonance Centre, University of Nottingham, UK.
Neuroimage. 2014 Oct 1;99:237-43. doi: 10.1016/j.neuroimage.2014.05.070. Epub 2014 Jun 3.
Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique that alters cortical excitability in a polarity specific manner and has been shown to influence learning and memory. tDCS may have both on-line and after-effects on learning and memory, and the latter are thought to be based upon tDCS-induced alterations in neurochemistry and synaptic function. We used ultra-high-field (7 T) magnetic resonance spectroscopy (MRS), together with a robotic force adaptation and de-adaptation task, to investigate whether tDCS-induced alterations in GABA and Glutamate within motor cortex predict motor learning and memory. Note that adaptation to a robot-induced force field has long been considered to be a form of model-based learning that is closely associated with the computation and 'supervised' learning of internal 'forward' models within the cerebellum. Importantly, previous studies have shown that on-line tDCS to the cerebellum, but not to motor cortex, enhances model-based motor learning. Here we demonstrate that anodal tDCS delivered to the hand area of the left primary motor cortex induces a significant reduction in GABA concentration. This effect was specific to GABA, localised to the left motor cortex, and was polarity specific insofar as it was not observed following either cathodal or sham stimulation. Importantly, we show that the magnitude of tDCS-induced alterations in GABA concentration within motor cortex predicts individual differences in both motor learning and motor memory on the robotic force adaptation and de-adaptation task.
经颅直流电刺激(tDCS)是一种非侵入性脑刺激技术,它以极性特异性方式改变皮质兴奋性,并已被证明会影响学习和记忆。tDCS对学习和记忆可能既有即时效应又有后续效应,后者被认为是基于tDCS引起的神经化学和突触功能改变。我们使用超高场(7T)磁共振波谱(MRS),结合机器人力量适应和去适应任务,来研究运动皮质内tDCS引起的γ-氨基丁酸(GABA)和谷氨酸的变化是否能预测运动学习和记忆。请注意,长期以来,对机器人诱导力场的适应一直被认为是一种基于模型的学习形式,它与小脑内“前向”模型的计算和“监督”学习密切相关。重要的是,先前的研究表明,对小脑而非运动皮质进行即时tDCS可增强基于模型的运动学习。在这里,我们证明,将阳极tDCS施加到左侧初级运动皮质的手部区域会导致GABA浓度显著降低。这种效应是GABA特有的,局限于左侧运动皮质,并且具有极性特异性,因为在阴极或假刺激后未观察到这种效应。重要的是,我们表明,运动皮质内tDCS引起的GABA浓度变化的幅度可预测在机器人力量适应和去适应任务中的运动学习和运动记忆方面的个体差异。