Guillaume Alain, Fuller Jason R, Srimal Riju, Curtis Clayton E
CNRS, Laboratoire de Neurosciences Cognitives, Aix Marseille Université , Marseille , France.
Department of Psychology, New York University , New York, New York.
J Neurophysiol. 2018 Nov 1;120(5):2583-2594. doi: 10.1152/jn.00392.2018. Epub 2018 Sep 12.
Saccade adaptation is the learning process that ensures that vision and saccades remain calibrated. The central nervous system network involved in these adaptive processes remains unclear because of difficulties in isolating the learning process from the correlated visual and motor processes. Here we imaged the human brain during a novel saccade adaptation paradigm that allowed us to isolate neural signals involved in learning independent of the changes in the amplitude of corrective saccades usually correlated with adaptation. We show that the changes in activation in the ipsiversive cerebellar vermis that track adaptation are not driven by the changes in corrective saccades and thus provide critical supporting evidence for previous findings. Similarly, we find that activation in the dorsomedial wall of the contraversive precuneus mirrors the pattern found in the cerebellum. Finally, we identify dorsolateral and dorsomedial cortical areas in the frontal and parietal lobes that encode the retinal errors following inaccurate saccades used to drive recalibration. Together, these data identify a distributed network of cerebellar and cortical areas and their specific roles in oculomotor learning. NEW & NOTEWORTHY The central nervous system constantly learns from errors and adapts to keep visual targets and saccades in registration. We imaged the human brain while the gain of saccades adapted to a visual target that was displaced while the eye was in motion, inducing retinal error. Activity in the cerebellum and precuneus tracked learning, whereas parts of the dorsolateral and dorsomedial frontal and parietal cortex encoded the retinal error used to drive learning.
扫视适应是一种学习过程,可确保视觉和扫视保持校准。由于难以将学习过程与相关的视觉和运动过程分离,参与这些适应性过程的中枢神经系统网络仍不清楚。在这里,我们在一种新颖的扫视适应范式中对人类大脑进行成像,该范式使我们能够分离出参与学习的神经信号,而不受通常与适应相关的校正扫视幅度变化的影响。我们表明,追踪适应的同侧小脑蚓部激活变化并非由校正扫视的变化驱动,从而为先前的发现提供了关键的支持证据。同样,我们发现对侧楔前叶背内侧壁的激活反映了小脑中发现的模式。最后,我们确定了额叶和顶叶中的背外侧和背内侧皮质区域,这些区域编码了用于驱动重新校准的不准确扫视后的视网膜误差。这些数据共同确定了一个由小脑和皮质区域组成的分布式网络及其在眼球运动学习中的特定作用。新发现与值得注意的是,中枢神经系统不断从错误中学习并进行适应,以保持视觉目标和扫视的对准。我们在扫视增益适应于视觉目标时对人类大脑进行成像,该视觉目标在眼睛运动时发生位移,从而诱发视网膜误差。小脑中的活动和楔前叶追踪学习,而背外侧和背内侧额叶及顶叶皮质的部分区域则编码用于驱动学习的视网膜误差。