Neural signatures of temporal anticipation in human cortex represent event probability density

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2025-03-16 DOI:10.1038/s41467-025-57813-7
Matthias Grabenhorst, David Poeppel, Georgios Michalareas
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Abstract

Temporal prediction is a fundamental function of neural systems. Recent results show that humans anticipate future events by calculating probability density functions, rather than hazard rates. However, direct neural evidence for this hypothesized mechanism is lacking. We recorded neural activity using magnetoencephalography as participants anticipated auditory and visual events distributed in time. We show that temporal anticipation, measured as reaction times, approximates the event probability density function, but not hazard rate. Temporal anticipation manifests as spatiotemporally patterned activity in three anatomically and functionally distinct parieto-temporal and sensorimotor cortical areas. Each of these areas revealed a marked neural signature of anticipation: Prior to sensory cues, activity in a specific frequency range of neural oscillations, spanning alpha and beta ranges, encodes the event probability density function. These neural signals predicted reaction times to imminent sensory cues. These results demonstrate that supra-modal representations of probability density across cortex underlie the anticipation of future events.

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人类大脑皮层中时间预期的神经特征代表事件概率密度
时间预测是神经系统的一项基本功能。最近的研究结果表明,人类通过计算概率密度函数而不是危险率来预测未来事件。然而,这种假设机制的直接神经证据是缺乏的。当参与者预期听觉和视觉事件在时间上分布时,我们使用脑磁图记录神经活动。我们表明,以反应时间衡量的时间预期近似于事件概率密度函数,而不是危险率。时间预期表现为三个解剖和功能上不同的顶叶-颞叶和感觉运动皮质区域的时空模式活动。这些区域中的每一个都揭示了预期的显著神经特征:在感官提示之前,神经振荡的特定频率范围内的活动,跨越α和β范围,编码事件概率密度函数。这些神经信号预测了对即将到来的感官信号的反应时间。这些结果表明,跨皮层概率密度的超模态表征是对未来事件的预测的基础。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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