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叠加光栅在初级视觉皮层中诱发多种伽马振荡反应模式。

Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex.

作者信息

Wang Bin, Han Chuanliang, Wang Tian, Dai Weifeng, Li Yang, Yang Yi, Yang Guanzhong, Zhong Lvyan, Zhang Yange, Wu Yujie, Wang Gang, Yu Hongbo, Xing Dajun

机构信息

State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.

Center of Brain Sciences, Beijing Institute of Basic Medical Sciences, Beijing, 100085, China.

出版信息

Sci Rep. 2021 Mar 2;11(1):4941. doi: 10.1038/s41598-021-83923-5.

Abstract

Stimulus-dependence of gamma oscillations (GAMMA, 30-90 Hz) has not been fully understood, but it is important for revealing neural mechanisms and functions of GAMMA. Here, we recorded spiking activity (MUA) and the local field potential (LFP), driven by a variety of plaids (generated by two superimposed gratings orthogonal to each other and with different contrast combinations), in the primary visual cortex of anesthetized cats. We found two distinct narrow-band GAMMAs in the LFPs and a variety of response patterns to plaids. Similar to MUA, most response patterns showed that the second grating suppressed GAMMAs driven by the first one. However, there is only a weak site-by-site correlation between cross-orientation interactions in GAMMAs and those in MUAs. We developed a normalization model that could unify the response patterns of both GAMMAs and MUAs. Interestingly, compared with MUAs, the GAMMAs demonstrated a wider range of model parameters and more diverse response patterns to plaids. Further analysis revealed that normalization parameters for high GAMMA, but not those for low GAMMA, were significantly correlated with the discrepancy of spatial frequency between stimulus and sites' preferences. Consistent with these findings, normalization parameters and diversity of high GAMMA exhibited a clear transition trend and region difference between area 17 to 18. Our results show that GAMMAs are also regulated in the form of normalization, but that the neural mechanisms for these normalizations might differ from those of spiking activity. Normalizations in different brain signals could be due to interactions of excitation and inhibitions at multiple stages in the visual system.

摘要

γ振荡(30 - 90赫兹)对刺激的依赖性尚未完全明确,但这对于揭示γ振荡的神经机制和功能至关重要。在此,我们记录了麻醉猫初级视觉皮层中由各种方格图案(由两个相互正交且具有不同对比度组合的叠加光栅产生)驱动的脉冲活动(多单元活动,MUA)和局部场电位(LFP)。我们在LFP中发现了两种不同的窄带γ振荡以及对方格图案的多种反应模式。与MUA类似,大多数反应模式表明第二个光栅抑制了由第一个光栅驱动的γ振荡。然而,γ振荡中跨方向相互作用与MUA中的跨方向相互作用之间仅存在微弱的逐点相关性。我们开发了一个归一化模型,该模型可以统一γ振荡和MUA的反应模式。有趣的是,与MUA相比,γ振荡表现出更广泛的模型参数范围以及对方格图案更多样化的反应模式。进一步分析表明,高γ振荡的归一化参数与刺激和位点偏好之间的空间频率差异显著相关,而低γ振荡的归一化参数则不然。与这些发现一致,高γ振荡的归一化参数和多样性在17区到18区之间呈现出明显的过渡趋势和区域差异。我们的结果表明,γ振荡也以归一化的形式受到调节,但这些归一化的神经机制可能与脉冲活动的神经机制不同。不同脑信号中的归一化可能是由于视觉系统多个阶段的兴奋和抑制相互作用所致。

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