Center for Neuroscience, University of California, Davis, Davis, CA 95618, USA.
Center for Neuroscience, University of California, Davis, Davis, CA 95618, USA; Psychology Department, University of Arizona, Tucson, AZ 85719, USA.
Neuron. 2019 Nov 6;104(3):611-622.e7. doi: 10.1016/j.neuron.2019.08.012. Epub 2019 Sep 17.
In humans, the extent to which body-based cues, such as vestibular, somatosensory, and motoric cues, are necessary for normal expression of spatial representations remains unclear. Recent breakthroughs in immersive virtual reality technology allowed us to test how body-based cues influence spatial representations of large-scale environments in humans. Specifically, we manipulated the availability of body-based cues during navigation using an omnidirectional treadmill and a head-mounted display, investigating brain differences in levels of activation (i.e., univariate analysis), patterns of activity (i.e., multivariate pattern analysis), and putative network interactions between spatial retrieval tasks using fMRI. Our behavioral and neuroimaging results support the idea that there is a core, modality-independent network supporting spatial memory retrieval in the human brain. Thus, for well-learned spatial environments, at least in humans, primarily visual input may be sufficient for expression of complex representations of spatial environments. VIDEO ABSTRACT.
在人类中，身体线索（如前庭、躯体感觉和运动线索）对于正常表达空间表示的重要程度尚不清楚。沉浸式虚拟现实技术的最新突破使我们能够测试身体线索如何影响人类对大规模环境的空间表示。具体来说，我们使用全方位跑步机和头戴式显示器在导航过程中操纵身体线索的可用性，使用 fMRI 研究大脑在激活水平（即单变量分析）、活动模式（即多变量模式分析）以及空间检索任务之间的潜在网络相互作用方面的差异。我们的行为和神经影像学结果支持这样一种观点，即存在一个核心的、与模态无关的网络，支持人类大脑的空间记忆检索。因此，对于熟悉的空间环境，至少在人类中，主要的视觉输入可能足以表达空间环境的复杂表示。视频摘要。
