Johari Karim, Behroozmand Roozbeh
Speech Neuroscience Lab, Department of Communication Sciences and Disorders, University of South Carolina, 1224 Sumter Street, Columbia, SC, 29208, USA.
Exp Brain Res. 2017 May;235(5):1439-1453. doi: 10.1007/s00221-017-4900-0. Epub 2017 Feb 25.
The predictive coding model suggests that neural processing of sensory information is facilitated for temporally-predictable stimuli. This study investigated how temporal processing of visually-presented sensory cues modulates movement reaction time and neural activities in speech and hand motor systems. Event-related potentials (ERPs) were recorded in 13 subjects while they were visually-cued to prepare to produce a steady vocalization of a vowel sound or press a button in a randomized order, and to initiate the cued movement following the onset of a go signal on the screen. Experiment was conducted in two counterbalanced blocks in which the time interval between visual cue and go signal was temporally-predictable (fixed delay at 1000 ms) or unpredictable (variable between 1000 and 2000 ms). Results of the behavioral response analysis indicated that movement reaction time was significantly decreased for temporally-predictable stimuli in both speech and hand modalities. We identified premotor ERP activities with a left-lateralized parietal distribution for hand and a frontocentral distribution for speech that were significantly suppressed in response to temporally-predictable compared with unpredictable stimuli. The premotor ERPs were elicited approximately -100 ms before movement and were significantly correlated with speech and hand motor reaction times only in response to temporally-predictable stimuli. These findings suggest that the motor system establishes a predictive code to facilitate movement in response to temporally-predictable sensory stimuli. Our data suggest that the premotor ERP activities are robust neurophysiological biomarkers of such predictive coding mechanisms. These findings provide novel insights into the temporal processing mechanisms of speech and hand motor systems.
预测编码模型表明,对于时间上可预测的刺激,感觉信息的神经处理会得到促进。本研究调查了视觉呈现的感觉线索的时间处理如何调节言语和手部运动系统中的运动反应时间和神经活动。在13名受试者中记录了事件相关电位(ERP),他们在视觉提示下准备以随机顺序发出元音的稳定发声或按下按钮,并在屏幕上出现“开始”信号后启动提示的动作。实验分两个平衡的组块进行,其中视觉提示和“开始”信号之间的时间间隔在时间上是可预测的(固定延迟为1000毫秒)或不可预测的(在1000到2000毫秒之间变化)。行为反应分析结果表明,在言语和手部运动方式中,对于时间上可预测的刺激,运动反应时间显著缩短。我们确定了运动前ERP活动,手部运动的活动在左侧顶叶分布,言语运动的活动在额中央分布,与不可预测的刺激相比,对时间上可预测的刺激反应时这些活动被显著抑制。运动前ERP在动作前约-100毫秒出现,并且仅在对时间上可预测的刺激反应时与言语和手部运动反应时间显著相关。这些发现表明,运动系统建立了一种预测编码,以促进对时间上可预测的感觉刺激做出的运动。我们的数据表明,运动前ERP活动是这种预测编码机制的强大神经生理生物标志物。这些发现为言语和手部运动系统的时间处理机制提供了新的见解。