Timing along the cardiac cycle modulates neural signals of reward-based learning

Timing along the cardiac cycle modulates neural signals of reward-based learning
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心动周期的时间调节基于奖励的学习的神经信号

DOI:
10.1101/2022.07.07.498947
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发表时间:
2022
期刊:
--
影响因子:
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通讯作者:
Fouragnan E
Fouragnan E
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作者:
Fouragnan E

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心脏活动的自然波动调节与感觉刺激相关的大脑活动,以及对低幅度、接近阈值的刺激的知觉决定。然而,人们对心脏活动的波动和其他内部表现之间的关系知之甚少。在这里,我们调查心脏周期是否与学习相关的内部表征有关--绝对预测误差和符号预测误差。我们将机器学习技术与脑电技术结合起来,既有简单、直接的任务表现指数,也有计算模型派生的学习指数。我们的结果表明,就像人们在某些心脏时相对低强度、接近阈值的感觉刺激更敏感一样,他们对同一周期中的低强度绝对预测误差也更敏感。然而,即使当低幅度预测误差与明显的阈值以上感觉事件相关联时,也会发生这种情况。此外,不同心动周期的参与者在预测误差表征上表现出更强的差异,表现出更高的学习率和更高的任务准确性。
Natural fluctuations in cardiac activity modulate brain activity associated with sensory stimuli, as well as perceptual decisions about low magnitude, near-threshold stimuli. However, little is known about the relationship between fluctuations in heart activity and other internal representations. Here we investigate whether the cardiac cycle relates to learning-related internal representations – absolute and signed prediction errors. We combined machine learning techniques with electroencephalography with both simple, direct indices of task performance and computational model-derived indices of learning. Our results demonstrate that just as people are more sensitive to low magnitude, near-threshold sensory stimuli in certain cardiac phases, so are they more sensitive to low magnitude absolute prediction errors in the same cycles. However, this occurs even when the low magnitude prediction errors are associated with clearly suprathreshold sensory events. In addition, participants exhibiting stronger differences in their prediction error representations between cardiac cycles exhibited higher learning rates and greater task accuracy.
DOI: 10.1093/cercor/bhab391
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