通过我们的皮肤体验光——蒙眼受试者彩色光的脑电图研究

Andreas Wulff-Abramsson, Mads Deibjerg Lind, S. L. Nielsen, G. Palamas, L. Bruni, G. Triantafyllidis
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引用次数: 2

摘要

光无所不在,每时每刻围绕着我们,促进不同的感觉和情感。然而,当我们感知光时,我们不仅通过我们的眼睛,而且通过我们的皮肤来感知它,因为表皮含有与视网膜相似的光敏受体,即视蛋白。在这项研究中,皮肤的感觉是通过脑电图(EEG)来测量的,以了解它对我们的光体验的贡献。在这个实验中,受试者被蒙上眼睛,并被放置在一个有人造光的日光隔离的房间里。在这里,他们暴露在红色、绿色和蓝色的光以及黑暗中。通过时间谱演化(TSE)和用于可视化高维数据(t-SNE)的机器学习算法,发现基于颜色的感知特征是可区分的。T-SNE将TSE图聚类为四个可分离的片段,每个片段对应一个场景。在这些集群中,可以发现独特的delta, theta, alpha和beta事件相关的去同步和同步(ERD/ERS)生物标志物。这些生物标记可以培养这样的想法:当皮肤感知到红色和蓝色时,它们会引起皮层的觉醒和意识,而绿色则会促进平静和放松。
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Experiencing the Light Through our Skin - An EEG Study of Colored Light on Blindfolded Subjects
Light is omnipresent, surrounding us at every given moment, promoting different sensations and emotions. However, as we sense the light we do not only perceive it through our eyes, but our skin as well, as the epidermal contains photosensitive receptors similar to the retina, the opsins. In this study the sensations from the skin were measured through electroencephalography (EEG) to understand its contribution to our experience of light. For this experiment the subjects were blindfolded and placed in a daylight isolated room with artificial light. Here they were exposed to red, green and blue light as well as darkness. Through a temporal spectrum evolution (TSE) and a machine learning algorithm for visualizing highly dimensional data (t-SNE) the color based perception signatures were found to be distinguishable. T-SNE clustered the TSE maps into four separable segments, one for each scenario. Inside each of these clusters unique delta, theta, alpha and beta event related desynchronization and synchronization (ERD/ERS) biomarkers could be found. These biomarkers could cultivate the idea that when red and blue are sensed through the skin they elicit cortical arousal and awareness, while green promotes calmness and relaxation.
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