Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Elife. 2019 Jul 9;8:e45645. doi: 10.7554/eLife.45645.
It remains challenging to relate EEG and MEG to underlying circuit processes and comparable experiments on both spatial scales are rare. To close this gap between invasive and non-invasive electrophysiology we developed and recorded human-comparable EEG in macaque monkeys during visual stimulation with colored dynamic random dot patterns. Furthermore, we performed simultaneous microelectrode recordings from 6 areas of macaque cortex and human MEG. Motion direction and color information were accessible in all signals. Tuning of the non-invasive signals was similar to V4 and IT, but not to dorsal and frontal areas. Thus, MEG and EEG were dominated by early visual and ventral stream sources. Source level analysis revealed corresponding information and latency gradients across cortex. We show how information-based methods and monkey EEG can identify analogous properties of visual processing in signals spanning spatial scales from single units to MEG - a valuable framework for relating human and animal studies.
将 EEG 和 MEG 与潜在的电路过程联系起来仍然具有挑战性，并且在这两个空间尺度上进行可比的实验很少。为了弥合侵入性和非侵入性电生理学之间的差距，我们在猴子进行视觉刺激时开发并记录了类似人类的 EEG，刺激采用彩色动态随机点模式。此外，我们还同时从猕猴皮层的 6 个区域和人类 MEG 进行了微电极记录。所有信号中都可以访问运动方向和颜色信息。非侵入性信号的调谐类似于 V4 和 IT，但与背侧和额侧区域不同。因此，MEG 和 EEG 主要由早期视觉和腹侧流源主导。源级分析揭示了跨皮层的对应信息和潜伏期梯度。我们展示了基于信息的方法和猴子 EEG 如何在从单个单元到 MEG 的信号跨度的空间尺度上识别视觉处理的类似特性 - 这是将人类和动物研究联系起来的有价值的框架。
