Bompas Aline, Sumner Petroc, Muthumumaraswamy Suresh D, Singh Krish D, Gilchrist Iain D
Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Tower Building, Park Place, Cardiff CF10 3AT, UK; INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Brain Dynamics and Cognition Team, Hopital du Vinatier, 95 Boulevard Pinel, Bron, 69500, France.
Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Tower Building, Park Place, Cardiff CF10 3AT, UK.
Neuroimage. 2015 Feb 15;107:34-45. doi: 10.1016/j.neuroimage.2014.11.057. Epub 2014 Dec 4.
Large variability between individual response times, even in identical conditions, is a ubiquitous property of animal behavior. However, the origins of this stochasticity and its relation to action decisions remain unclear. Here we focus on the state of the perception-action network in the pre-stimulus period and its influence on subsequent saccadic response time and choice in humans. We employ magnetoencephalography (MEG) and a correlational source reconstruction approach to identify the brain areas where pre-stimulus oscillatory activity predicted saccadic response time to visual targets. We find a relationship between future response time and pre-stimulus power, but not phase, in occipital (including V1), parietal, posterior cingulate and superior frontal cortices, consistently across alpha, beta and low gamma frequencies, each accounting for between 1 and 4% of the RT variance. Importantly, these correlations were not explained by deterministic sources of variance, such as experimental factors and trial history. Our results further suggest that occipital areas mainly reflect short-term (trial to trial) stochastic fluctuations, while the frontal contribution largely reflects longer-term effects such as fatigue or practice. Parietal areas reflect fluctuations at both time scales. We found no evidence of lateralization: these effects were indistinguishable in both hemispheres and for both saccade directions, and non-predictive of choice - a finding with fundamental consequences for models of action decision, where independent, not coupled, noise is normally assumed.
即使在相同条件下,个体反应时间之间也存在很大差异,这是动物行为中普遍存在的特性。然而,这种随机性的起源及其与行动决策的关系仍不清楚。在这里,我们关注刺激前时期感知 - 行动网络的状态及其对人类随后扫视反应时间和选择的影响。我们采用脑磁图(MEG)和相关源重建方法来识别刺激前振荡活动预测对视觉目标扫视反应时间的脑区。我们发现在枕叶(包括V1)、顶叶、后扣带回和额上回皮质中,未来反应时间与刺激前功率之间存在关系,但与相位无关,在α、β和低γ频率上均一致,每个频率解释的反应时间方差在1%至4%之间。重要的是,这些相关性不能由确定性方差源来解释,如实验因素和试验历史。我们的结果进一步表明,枕叶区域主要反映短期(逐次试验)随机波动,而额叶的贡献主要反映长期效应,如疲劳或练习。顶叶区域反映两个时间尺度上的波动。我们没有发现偏侧化的证据:这些效应在两个半球和两个扫视方向上都是无法区分的,并且对选择没有预测性——这一发现对行动决策模型具有根本性影响,在这些模型中通常假设噪声是独立的,而非耦合的。