Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex
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 tw...
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2021
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oai:doaj.org-article:770e62fba59f448c8ef4480fe659b2b12021-12-02T13:30:51ZSuperimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex10.1038/s41598-021-83923-52045-2322https://doaj.org/article/770e62fba59f448c8ef4480fe659b2b12021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83923-5https://doaj.org/toc/2045-2322Abstract 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.Bin WangChuanliang HanTian WangWeifeng DaiYang LiYi YangGuanzhong YangLvyan ZhongYange ZhangYujie WuGang WangHongbo YuDajun XingNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-20 (2021) |
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Medicine R Science Q Bin Wang Chuanliang Han Tian Wang Weifeng Dai Yang Li Yi Yang Guanzhong Yang Lvyan Zhong Yange Zhang Yujie Wu Gang Wang Hongbo Yu Dajun Xing Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex |
| description |
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. |
| format |
article |
| author |
Bin Wang Chuanliang Han Tian Wang Weifeng Dai Yang Li Yi Yang Guanzhong Yang Lvyan Zhong Yange Zhang Yujie Wu Gang Wang Hongbo Yu Dajun Xing |
| author_facet |
Bin Wang Chuanliang Han Tian Wang Weifeng Dai Yang Li Yi Yang Guanzhong Yang Lvyan Zhong Yange Zhang Yujie Wu Gang Wang Hongbo Yu Dajun Xing |
| author_sort |
Bin Wang |
| title |
Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex |
| title_short |
Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex |
| title_full |
Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex |
| title_fullStr |
Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex |
| title_full_unstemmed |
Superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex |
| title_sort |
superimposed gratings induce diverse response patterns of gamma oscillations in primary visual cortex |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/770e62fba59f448c8ef4480fe659b2b1 |
| work_keys_str_mv |
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| _version_ |
1718392923534393344 |