The contribution of pre-stimulus neural oscillatory activity to spontaneous response time variability.
The contribution of pre-stimulus neural oscillatory activity to spontaneous response time variability.
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DOI：
10.1016/j.neuroimage.2014.11.057
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发表时间：
2015-02-15
期刊：
影响因子：
5.7
通讯作者：
Gilchrist ID
中科院分区：
文献类型：
--
作者：
Bompas A;Sumner P;Muthumumaraswamy SD;Singh KD;Gilchrist ID
即使在相同的条件下，个体反应时间之间的巨大差异也是动物行为的普遍特性。然而，这种随机性的起源及其与行动决策的关系仍不清楚。在此，我们重点研究了在刺激前阶段感知-行动网络的状态及其对人类后续跳眼反应时间和选择的影响。我们使用脑磁图（MEG）和相关源重建方法来识别刺激前振荡活动预测视觉目标的跳眼反应时间的大脑区域。我们发现，在枕叶（包括V1）、顶叶、后扣带和额叶上皮层，未来的反应时间与预刺激功率之间存在关系，而不是阶段，在α、β和低γ频率上是一致的，每个频率占RT方差的1%至4%。重要的是，这些相关性不能用确定性的方差来源来解释，比如实验因素和试验历史。我们的研究结果进一步表明，枕区主要反映短期（试验到试验）的随机波动，而额叶的贡献主要反映长期影响，如疲劳或练习。顶叶区域反映了两个时间尺度上的波动。我们没有发现侧化的证据：这些影响在两个半球和两个扫视方向上都是无法区分的，而且是非预测性的选择——这一发现对行动决策模型具有根本性的影响，在这些模型中，通常假设独立的、不耦合的噪声。我们寻找人类跳跃性反应时间的振荡预测因子。背侧通路5 ~ 45hz预刺激功率与反应时间相关。这些相关性主要反映自发方差，而不是决定性因素。这些相关性受大脑不同时间尺度的支配。我们没有发现潜伏期和振荡相位之间存在关系的证据。
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. We searched for oscillatory predictors of saccadic reaction times in humans. Pre-stimulus power at 5–45 Hz throughout dorsal pathway correlates with response time. These correlations mainly reflect spontaneous variance rather than deterministic factors. These correlations are dominated by different time scales across the brain. We found no evidence for a relationship between latency and phase of oscillations.
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