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Journal of Zhejiang University SCIENCE B

ISSN 1673-1581(Print), 1862-1783(Online), Monthly

Spatiotemporal coding of natural odors in the olfactory bulb

Abstract: Smell that exists in the natural environment is composed of numerous odor molecules (Bushdid et al., 2014). The mammalian olfactory system can accurately identify environmental olfactory cues, including those related to food selection, recognition of conspecifics/predators, and emotional responses. Recent studies utilizing two-photon calcium imaging have demonstrated that odors, when present at their natural concentrations, elicit distinct patterns of neural activity within the olfactory system (Murthy and Rokni, 2017; Xu et al., 2020). However, knowledge of how food-related odors are coded in the olfactory system remains elusive.

Key words: Neural interface; Olfactory bulb; Spike activity; Neural oscillation

Chinese Summary  <13> 自然气味信息在嗅球中的时空编码模式研究

刘梦雪1,2,3,姜楠1,2,石颖倩1,王平1,2,庄柳静1,3
1浙江大学生物医学工程与仪器科学学院, 生物传感器国家专业实验室, 生物医学工程教育部重点实验室, 中国杭州市,310027
2浙江大学教育部脑与脑机融合前沿科学中心,中国杭州市,310027
3中国科学院传感技术联合国家重点实验室,中国上海市,200050
摘要:气味是评价食品新鲜度最重要的参数之一。当气味以其自然浓度存在时,会在嗅觉系统中引发不同的神经活动模式。本研究提出了一种通过检测食物气味进行食物检测与评价的在体生物传感系统。我们通过将多通道微电极植入在清醒大鼠嗅球的僧帽/丛状细胞层上,进而对神经信号进行实时检测。结果表明,不同的气味可以引起不同的神经振荡活动,每个僧帽/丛状细胞会表现出特定气味的锋电位发放模式。单个大鼠的少量细胞携带足够的信息,可以根据锋电位发放频率变化率的极坐标图来区分不同储存天数的食物。此外,研究表明气味刺激后,β振荡比γ振荡表现出更特异的气味响应模式,这表明β振荡在气味识别中起着更重要的作用。综上,本研究提出的在体神经接口为评估食品新鲜度提供了一种可行性方法。

关键词组:脑机接口;嗅球;锋电位活动;神经振荡


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DOI:

10.1631/jzus.B2300249

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On-line Access:

2023-11-14

Received:

2023-04-13

Revision Accepted:

2023-05-30

Crosschecked:

2023-11-15

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