Characterization of in vivo Bioelectronic Nose with Combined #br#
Manganese-Enhanced MRI and Brain-Computer Interface
Zhang Bin ,Wu Zhe, He Hongjian ,Ding Qiuping ,Qin Zhen,Gao Keqiang ,Zhong Jianhui*, Wang Ping#*
Department of Biomedical Engineering, Key Lab for Biomedical Engineering of Ministry of Education, Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou 310027,China
Abstract:By using mammal′s own olfactory system, sensitivity and specificity of the in vivo bioelectronic nose is substantially enhanced. However, the specific region in the olfactory bulb where to implant the electrode has been based on the researcher′s experiences, which often results in unsatisfied success rate. This study takes advantage of the paramagnetism and calcium ion similarity of the manganese ion. A small dose of manganese ion was delivered into the right naris of 10 rats, an odor was delivered to the nose of the rat, and a series of magnetic resonance images (MRI) were taken. With the MRI data, a region in the olfactory bulb activated by the specific odor was identified. Micro-wire electrode was implanted into the region and olfactory signals were recorded. When the rat was stimulated by the specific odor, the β wave of the LFP was found to increase and the spike signals also had responses. Linearity was observed between the difference of the spike-firing rate caused by the odor stimulation and the concentration of the odor. The limits of detection to isoamyl acetate and n-butyric acid were determined to be 0.033μM and 0.0072μM, respectively. As the first bioelectronic nose assisted by manganese-enhanced MRI, it has a promising future in explosives searching or food safety.
张斌,吴哲,何宏建,丁秋萍,秦臻, 高克强, 钟健晖,王平. 结合磁共振成像和脑机接口的新型在体生物电子鼻的研究[J]. 中国生物医学工程学报, 2018, 37(1): 57-63.
Zhang Bin,Wu Zhe, He Hongjian,Ding Qiuping,Qin Zhen,Gao Keqiang,Zhong Jianhui, Wang Ping. Characterization of in vivo Bioelectronic Nose with Combined #br#
Manganese-Enhanced MRI and Brain-Computer Interface. Chinese Journal of Biomedical Engineering, 2018, 37(1): 57-63.
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