Decoding Neural Responses to Motion-in-Depth Using EEG.
Decoding Neural Responses to Motion-in-Depth Using EEG.
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DOI：
10.3389/fnins.2020.581706
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发表时间：
2020
影响因子：
4.3
通讯作者：
Wade AR
中科院分区：
文献类型：
--
作者：
Himmelberg MM;Segala FG;Maloney RT;Harris JM;Wade AR
视网膜视差随时间的变化（CD）和眼间速度差（IOVD）是深度运动（MID）感知的两个立体线索。这些线索具有独立的时空敏感性曲线，依赖于不同的低水平刺激属性，并可能沿着沿着单独的皮层通路进行处理。在这里，我们问这些MID线索是否编码不同的运动方向：它们是否产生了可辨别的神经信号模式，是否有证据表明它们收敛到一个单一的“深度运动”路径上？为了回答这个问题，我们使用解码算法来测试是否以及何时可以区分从整个头皮测量的脑电图（EEG）信号的模式，这些信号是响应于CD和IOVD隔离刺激而产生的，这些刺激朝向或远离深度移动。我们发现，MID提示类型和3D运动方向可以在EEG时程中的不同点进行解码，并且方向解码不能由静态视差信息来解释。值得注意的是，我们发现了后期处理收敛的证据：IOVD运动方向可以在基于CD刺激训练的解码器的时间过程中相对较晚地解码，反之亦然。我们得出结论，早期CD和IOVD方向解码性能是依赖于从根本上不同的低电平刺激功能，但解码性能的后期阶段可能是由一个中央，共享的途径，是不可知的这些功能。总的来说，这些数据是第一个表明，CD和IOVD线索的神经反应，朝着和远离的深度可以从EEG信号解码，和MID线索的不同方面有助于解码性能在不同的点沿着EEG时程。
Two stereoscopic cues that underlie the perception of motion-in-depth (MID) are changes in retinal disparity over time (CD) and interocular velocity differences (IOVD). These cues have independent spatiotemporal sensitivity profiles, depend upon different low-level stimulus properties, and are potentially processed along separate cortical pathways. Here, we ask whether these MID cues code for different motion directions: do they give rise to discriminable patterns of neural signals, and is there evidence for their convergence onto a single “motion-in-depth” pathway? To answer this, we use a decoding algorithm to test whether, and when, patterns of electroencephalogram (EEG) signals measured from across the full scalp, generated in response to CD- and IOVD-isolating stimuli moving toward or away in depth can be distinguished. We find that both MID cue type and 3D-motion direction can be decoded at different points in the EEG timecourse and that direction decoding cannot be accounted for by static disparity information. Remarkably, we find evidence for late processing convergence: IOVD motion direction can be decoded relatively late in the timecourse based on a decoder trained on CD stimuli, and vice versa. We conclude that early CD and IOVD direction decoding performance is dependent upon fundamentally different low-level stimulus features, but that later stages of decoding performance may be driven by a central, shared pathway that is agnostic to these features. Overall, these data are the first to show that neural responses to CD and IOVD cues that move toward and away in depth can be decoded from EEG signals, and that different aspects of MID-cues contribute to decoding performance at different points along the EEG timecourse.
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