初级视皮层中,观察和推断运动轨迹共享共同的信息激活模式。
Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex.
机构信息
Department of Biological Psychology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.
European Structural and Investment Funds-International Graduate School (ESF-GS) Analysis, Imaging, and Modeling of Neuronal and Inflammatory Processes (ABINEP) International Graduate School, Otto-Von-Guericke-University, Magdeburg, Germany.
出版信息
Hum Brain Mapp. 2023 Mar;44(4):1389-1406. doi: 10.1002/hbm.26123. Epub 2022 Oct 26.
The natural environment is dynamic and moving objects become constantly occluded, engaging the brain in a challenging completion process to estimate where and when the object might reappear. Although motion extrapolation is critical in daily life-imagine crossing the street while an approaching car is occluded by a larger standing vehicle-its neural underpinnings are still not well understood. While the engagement of low-level visual cortex during dynamic occlusion has been postulated, most of the previous group-level fMRI-studies failed to find evidence for an involvement of low-level visual areas during occlusion. In this fMRI-study, we therefore used individually defined retinotopic maps and multivariate pattern analysis to characterize the neural basis of visible and occluded changes in motion direction in humans. To this end, participants learned velocity-direction change pairings (slow motion-upwards; fast motion-downwards or vice versa) during a training phase without occlusion and judged the change in stimulus direction, based on its velocity, during a following test phase with occlusion. We find that occluded motion direction can be predicted from the activity patterns during visible motion within low-level visual areas, supporting the notion of a mental representation of motion trajectory in these regions during occlusion.
自然环境是动态的,移动的物体不断被遮挡,这使大脑参与到一个具有挑战性的补全过程中,以估计物体何时何地可能再次出现。虽然运动外推在日常生活中至关重要——想象一下,当一辆接近的汽车被一辆更大的停着的车挡住时,你正在穿过街道——但其神经基础仍未被很好地理解。虽然在动态遮挡期间低水平视觉皮层的参与已被推测,但之前的大多数组水平 fMRI 研究未能找到在遮挡期间低水平视觉区域参与的证据。在这项 fMRI 研究中,我们因此使用个体定义的视网膜映射和多元模式分析来描述人类运动方向可见和遮挡变化的神经基础。为此,参与者在没有遮挡的训练阶段学习速度-方向变化对(慢动作-向上;快动作-向下或反之亦然),并在随后的遮挡测试阶段根据速度判断刺激方向的变化。我们发现,遮挡运动方向可以从低水平视觉区域中可见运动期间的活动模式中预测出来,这支持了在遮挡期间这些区域中运动轨迹的心理表征的概念。