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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 |
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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.
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[1] Lledo PM, Gheusi G, Vincent JD. Information processing in the mammalian olfactory system[J]. Physiological Reviews, 2005, 85(1): 281-317.
[2] Malnic B, Hirono J, Sato T, et al. Combinatorial receptor codes for odors[J]. Cell, 1999, 96(5): 713-723.
[3] Guo Tiantian, Zhuang Liujing, Qin Zhen, et al. Multi-odor discrimination by a novel bio-hybrid sensing preserving rat's intact smell perception in vivo[J]. Sensors and Actuators B: Chemical, 2016, 225: 34-41.
[4] Davison IG, Katz LC. Sparse and selective odor coding by mitral/tufted neurons in the main olfactory bulb[J]. The Journal of Neuroscience, 2007, 27(8): 2091-2101.
[5] Broza YY, Haick H. Nanomaterial-based sensors for detection of disease by volatile organic compounds[J]. Nanomedicine, 2013, 8(5): 785-806.
[6] R ck F, Barsan N, Weimar U. Electronic nose: Current status and future trends[J]. Chemical Reviews, 2008, 108(2): 705-725.
[7] Haick H, Broza YY, Mochalski P, et al. Assessment, origin, and implementation of breath volatile cancer markers[J]. Chemical Society Reviews, 2014, 43(5): 1423-1449.
[8] Konvalina G, Haick H. Sensors for breath testing: From nanomaterials to comprehensive disease detection[J]. Accounts of Chemical Research, 2013, 47(1): 66-76.
[9] Zhuang Liujing, Hu Ning, Dong Qi, et al. A high sensitive in vivo biosensing detection for odors by multiunit in rat olfactory bulb[J]. Sensors and Actuators B: Chemical, 2013, 186: 308-314.
[10] Zhuang Liujing, Hu Ning, Tian Feng, et al. A high-sensitive detection method for carvone odor by implanted electrodes in rat olfactory bulb[J]. Chinese Science Bulletin, 2014, 59(1): 29-37.
[11] Zhuang Liujing, Guo Tiantian, Cao Dduanxi, et al. Detection and classification of natural odors with an in vivo bioelectronic nose[J]. Biosensors and Bioelectronics, 2015, 67: 694-699.
[12] Duveau A, Astic L. Spatial distribution of [14 C] 2-deoxyglucose uptake in the olfactory bulbs of rats stimulated with two different odours[J]. Brain Research, 1980, 188(1): 139-154.
[13] Mamlouk AM. Learning olfactory codes using matrix factorization on 2DG uptake patterns from rats[J]. Flavour, 2014, 3(Suppl 1): 03.
[14] Li Bo, Gong Ling, Wu Ruiqi, et al. Complex relationship between BOLD-fMRI and electrophysiological signals in different olfactory bulb layers[J]. NeuroImage, 2014, 95: 29-38.
[15] Huttunen JK, Gr hn O, Penttonen M. Coupling between simultaneously recorded BOLD response and neuronal activity in the rat somatosensory cortex[J]. Neuroimage, 2008, 39(2): 775-785.
[16] Pautler RG, Silva AC, Koretsky AP. In vivo neuronal tract tracing using manganese\|enhanced magnetic resonance imaging[J]. Magnetic Resonance in Medicine, 1998, 40(5): 740-748.
[17] Brand G, Millot JL, Henquell D. Complexity of olfactory lateralization processes revealed by functional imaging: A review[J]. Neuroscience & Biobehavioral Reviews, 2001, 25(2): 159-166.
[18] 方可. 锰离子增强磁共振成像 (MEMRI) 技术及其在研究大鼠嗅觉和脑缺血中的应用[D].北京:中国科学院研究生院, 2005.
[19] 杨艳梅, 姚振威, 冯晓源. 磁共振 DTI 技术和锰离子示踪方法活体定位鼠脑神经纤维[J]. 神经解剖学杂志, 2008, 24(4): 379-385.
[20] Pautler RG, Koretsky AP. Tracing odor-induced activation in the olfactory bulbs of mice using manganese-enhanced magnetic resonance imaging[J]. Neuroimage, 2002, 16(2): 441-448.
[21] Geraldes C, Sherry AD, Brown RD, et al. Magnetic field dependence of solvent proton relaxation rates induced by Gd3+ and Mn2+ complexes of various polyaza macrocyclic ligands: implications for NMR imaging[J]. Magnetic Resonance in Medicine, 1986, 3(2): 242-250.
[22] Massaad CA, Pautler RG. Manganese-enhanced magnetic resonance imaging (MEMRI)[J]. Magnetic Resonance Neuroimaging: Methods and Protocols, 2011: 145-174.
[23] Loutfi A, Coradeschi S, Mani GK, et al. Electronic noses for food quality: A review[J]. Journal of Food Engineering, 2015, 144: 103-111. |
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