Plume Dynamics Structure the Spatiotemporal Activity of Mitral/Tufted Cell Networks in the Mouse Olfactory Bulb.

Plume Dynamics Structure the Spatiotemporal Activity of Mitral/Tufted Cell Networks in the Mouse Olfactory Bulb.
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羽状动力学结构小鼠嗅球中二尖瓣/簇状细胞网络的时空活性。

DOI:
10.3389/fncel.2021.633757
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发表时间:
2021
影响因子:
5.3
通讯作者:
Gire DH
Gire DH
中科院分区:
医学2区
文献类型:
--
作者:
Lewis SM;Xu L;Rigolli N;Tariq MF;Suarez LM;Stern M;Seminara A;Gire DH

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虽然小鼠使用湍流空气中的气味羽流来定位资源,但波动羽流的随机性和不确定性为解释自然环境中的气味线索带来了挑战。嗅球(OB)内的人口活动被认为是处理这种复杂的空间和时间信息,但如何羽动力学影响气味表示在这个早期阶段的小鼠嗅觉系统是未知的。气味检测技术的局限性使得难以在同时记录小鼠大脑的同时测量羽流波动。因此,以前的研究已经测量了OB活动后,控制气味脉冲的不同配置文件或频率,但这种方法只捕捉到一个子集的功能内发现的嗅觉羽流。考虑到缺乏关于大脑在暴露于自然嗅觉场景期间提取哪些特征的知识,对该特征空间进行连续采样是困难的。在这里,我们测量了OB的反应,自然波动的气味羽流使用一个微型的,适应气味传感器结合宽场GCaMP6f信号从树突的二尖瓣和簇状(MT)细胞成像的头部固定小鼠的嗅球。我们精确地跟踪了羽流动力学,并对肾小球对这种波动输入的反应进行了成像,同时在一系列与行为学相关的值中改变了流动条件。我们发现,一个一致的部分MT活动在肾小球气味浓度动态,最强的反应肾小球是最好的气味羽流内的波动。此外,MT细胞的肾小球群体的可靠性和平均响应幅度受到动物采样羽流的流动条件的影响,其中MT细胞跟随的羽流的保真度在更高流速的条件下增加,其中气味动力学导致更强浓度的间歇性气味。因此,动物遇到气味的流动环境对OB中气味羽流的时间表示具有大规模的影响。此外,跨流动条件气味动力学是许多肾小球网络活动的主要驱动力。两者合计,这些数据表明,在小鼠嗅觉系统的气味处理的第一阶段,烟羽动力学结构的嗅觉表示。
Although mice locate resources using turbulent airborne odor plumes, the stochasticity and intermittency of fluctuating plumes create challenges for interpreting odor cues in natural environments. Population activity within the olfactory bulb (OB) is thought to process this complex spatial and temporal information, but how plume dynamics impact odor representation in this early stage of the mouse olfactory system is unknown. Limitations in odor detection technology have made it difficult to measure plume fluctuations while simultaneously recording from the mouse's brain. Thus, previous studies have measured OB activity following controlled odor pulses of varying profiles or frequencies, but this approach only captures a subset of features found within olfactory plumes. Adequately sampling this feature space is difficult given a lack of knowledge regarding which features the brain extracts during exposure to natural olfactory scenes. Here we measured OB responses to naturally fluctuating odor plumes using a miniature, adapted odor sensor combined with wide-field GCaMP6f signaling from the dendrites of mitral and tufted (MT) cells imaged in olfactory glomeruli of head-fixed mice. We precisely tracked plume dynamics and imaged glomerular responses to this fluctuating input, while varying flow conditions across a range of ethologically-relevant values. We found that a consistent portion of MT activity in glomeruli follows odor concentration dynamics, and the strongest responding glomeruli are the best at following fluctuations within odor plumes. Further, the reliability and average response magnitude of glomerular populations of MT cells are affected by the flow condition in which the animal samples the plume, with the fidelity of plume following by MT cells increasing in conditions of higher flow velocity where odor dynamics result in intermittent whiffs of stronger concentration. Thus, the flow environment in which an animal encounters an odor has a large-scale impact on the temporal representation of an odor plume in the OB. Additionally, across flow conditions odor dynamics are a major driver of activity in many glomerular networks. Taken together, these data demonstrate that plume dynamics structure olfactory representations in the first stage of odor processing in the mouse olfactory system.
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