McLaughlin D F, Kelly E F
University of North Carolina, Chapel Hill 27599.
Brain Res Brain Res Rev. 1993 May-Aug;18(2):151-206. doi: 10.1016/0165-0173(93)90001-g.
Population-level behavior of large neural aggregates can be efficiently monitored by corresponding population-level indices such as somatosensory evoked potentials (SEPs). The literature reviewed clearly indicates that SEPs undergo systematic and often marked changes under conditions of repetitive stimulation. Similar results have been reported for several mammalian species and with a diversity of stimulation, recording and analysis protocols. The most characteristic finding is a loss of SEP component amplitude as a function of decreasing time between stimulus presentations. The effects become larger and appear at longer ISIs at higher levels of the somatosensory pathway, are more readily evoked by stimulus trains than by stimulus pairs and are most pronounced for response components generated in the upper cortical layers. These findings are consistent with a recently proposed neurophysiological model of short-term plasticity in somatosensory cortex, which incorporates detailed and current information on cortical microcircuitry, receptor and neurotransmitter characteristics, topographical organization and dynamic response to repetitive sensory drive. Recommendations are provided for further research, emphasizing the potential of frequency-domain analysis methods in conjunction with mechanical vibrotactile stimuli as a vehicle for more detailed testing of the proposed neurophysiological model and for closer integration with psychophysical studies of vibrotactile adaptation.
大型神经集合体的群体水平行为可以通过相应的群体水平指标(如体感诱发电位(SEP))进行有效监测。所综述的文献清楚地表明,在重复刺激条件下,SEP会发生系统性且往往显著的变化。对于几种哺乳动物物种以及各种刺激、记录和分析方案,都报告了类似的结果。最具特征性的发现是,随着刺激呈现之间时间间隔的缩短,SEP成分的振幅会降低。在体感通路较高水平上,这种效应在较长的刺激间隔时间(ISI)时变得更大且更易出现,与刺激对相比,刺激序列更容易诱发这种效应,并且对于在皮质上层产生的反应成分最为明显。这些发现与最近提出的体感皮层短期可塑性神经生理模型一致,该模型纳入了关于皮质微回路、受体和神经递质特征、地形组织以及对重复感觉驱动的动态反应的详细且最新的信息。文中还提供了进一步研究的建议,强调结合机械振动触觉刺激的频域分析方法作为更详细测试所提出的神经生理模型以及与振动触觉适应心理物理学研究更紧密整合的工具的潜力。