Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.
Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany; Department of Movement Sciences, Catholic University of Leuven, Leuven, Belgium.
Neurosci Biobehav Rev. 2022 Mar;134:104520. doi: 10.1016/j.neubiorev.2021.104520. Epub 2022 Jan 10.
Sensorimotor adaptation, or the capacity to flexibly adapt movements to changes in the body or the environment, is crucial to our ability to move efficiently in a dynamic world. The field of sensorimotor adaptation is replete with rigorous behavioural and computational methods, which support strong conceptual frameworks. An increasing number of studies have combined these methods with electroencephalography (EEG) to unveil insights into the neural mechanisms of adaptation. We review these studies: discussing EEG markers of adaptation in the frequency and the temporal domain, EEG predictors for successful adaptation and how EEG can be used to unmask latent processes resulting from adaptation, such as the modulation of spatial attention. With its high temporal resolution, EEG can be further exploited to deepen our understanding of sensorimotor adaptation.
感觉运动适应，即灵活调整运动以适应身体或环境变化的能力，对于我们在动态世界中高效运动至关重要。感觉运动适应领域充满了严格的行为和计算方法，这些方法支持强有力的概念框架。越来越多的研究将这些方法与脑电图（EEG）相结合，以揭示适应的神经机制。我们回顾了这些研究：讨论了适应的频域和时域中的 EEG 标记物、适应的 EEG 预测指标，以及如何使用 EEG 揭示适应产生的潜在过程，例如空间注意的调制。脑电图具有高时间分辨率，可以进一步利用它来加深我们对感觉运动适应的理解。
