立体图像的皮质反应和形状复杂性——同时进行的脑电/脑磁图研究

Q1 Medicine
Neurosignals Pub Date : 2016-10-24 DOI:10.1159/000442617
Hohyun Cho, Min-Koo Kang, Sang-Kyun Ahn, Moonyoung Kwon, Kuk-jin Yoon, Kiwoong Kim, S. Jun
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引用次数: 4

摘要

背景/目的:在探索人为因素时,立体3D图像已被用于研究与过度深度、纹理复杂性和其他因素相关的神经反应。然而,有关立体图像复杂性的皮层振荡研究却很少。在这里,我们证明了振荡响应的三个不同形状的三维图像(圆形,星形和蝙蝠)随着图像复杂性的增加而增加。方法:同时记录三种不同刺激下的EEG/MEG。采用非参数排列检验考察时空和时空光谱时间特征。结果:实验结果显示,随着立体图像形状复杂性的增加,N300和α抑制在腹侧区增强。结论:复杂立体图像的相对差异可能增加了腹侧区的认知加工(N300)和皮层负荷(α抑制)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cortical Responses and Shape Complexity of Stereoscopic Image - A Simultaneous EEG/MEG Study
Background/Aims: In exploring human factors, stereoscopic 3D images have been used to investigate the neural responses associated with excessive depth, texture complexity, and other factors. However, the cortical oscillation associated with the complexity of stereoscopic images has been studied rarely. Here, we demonstrated that the oscillatory responses to three differently shaped 3D images (circle, star, and bat) increase as the complexity of the image increases. Methods: We recorded simultaneous EEG/MEG for three different stimuli. Spatio-temporal and spatio-spectro-temporal features were investigated by non-parametric permutation test. Results: The results showed that N300 and alpha inhibition increased in the ventral area as the shape complexity of the stereoscopic image increased. Conclusion: It seems that the relative disparity in complex stereoscopic images may increase cognitive processing (N300) and cortical load (alpha inhibition) in the ventral area.
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来源期刊
Neurosignals
Neurosignals 医学-神经科学
CiteScore
3.40
自引率
0.00%
发文量
3
审稿时长
>12 weeks
期刊介绍: Neurosignals is an international journal dedicated to publishing original articles and reviews in the field of neuronal communication. Novel findings related to signaling molecules, channels and transporters, pathways and networks that are associated with development and function of the nervous system are welcome. The scope of the journal includes genetics, molecular biology, bioinformatics, (patho)physiology, (patho)biochemistry, pharmacology & toxicology, imaging and clinical neurology & psychiatry. Reported observations should significantly advance our understanding of neuronal signaling in health & disease and be presented in a format applicable to an interdisciplinary readership.
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