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额-视信息流解释了预测性运动跟踪。

Frontal-to-visual information flow explains predictive motion tracking.

机构信息

Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, South Korea.

Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea.

出版信息

Neuroimage. 2023 Apr 1;269:119914. doi: 10.1016/j.neuroimage.2023.119914. Epub 2023 Feb 1.

DOI:10.1016/j.neuroimage.2023.119914
PMID:36736637
Abstract

Predictive tracking demonstrates our ability to maintain a line of vision on moving objects even when they temporarily disappear. Models of smooth pursuit eye movements posit that our brain achieves this ability by directly streamlining motor programming from continuously updated sensory motion information. To test this hypothesis, we obtained sensory motion representation from multivariate electroencephalogram activity while human participants covertly tracked a temporarily occluded moving stimulus with their eyes remaining stationary at the fixation point. The sensory motion representation of the occluded target evolves to its maximum strength at the expected timing of reappearance, suggesting a timely modulation of the internal model of the visual target. We further characterize the spatiotemporal dynamics of the task-relevant motion information by computing the phase gradients of slow oscillations. We discovered a predominant posterior-to-anterior phase gradient immediately after stimulus occlusion; however, at the expected timing of reappearance, the axis reverses the gradient, becoming anterior-to-posterior. The behavioral bias of smooth pursuit eye movements, which is a signature of the predictive process of the pursuit, was correlated with the posterior division of the gradient. These results suggest that the sensory motion area modulated by the prediction signal is involved in updating motor programming.

摘要

预测跟踪能力表明,即使目标物暂时消失,我们仍能保持对其的视觉追踪。平滑追踪眼球运动模型假设,大脑通过不断更新的感觉运动信息,直接优化运动程序,从而实现这种能力。为了验证这一假说,我们从多变量脑电图活动中获取感觉运动信息,当人类被试者的眼睛保持在注视点静止时,用眼睛追踪一个暂时被遮挡的运动刺激。被遮挡目标的感觉运动信息在预期的重新出现时间达到最大强度,这表明对视觉目标的内部模型进行了及时的调整。我们通过计算慢波的相位梯度,进一步描述与任务相关的运动信息的时空动力学。我们发现,在刺激被遮挡后,立即出现从后到前的主要相位梯度;然而,在预期的重新出现时间,轴反转了梯度,变成从前到后。平滑追踪眼球运动的行为偏差,是追踪预测过程的一个特征,与梯度的后部分相关。这些结果表明,预测信号调制的感觉运动区域参与了运动程序的更新。

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