Principal component analysis of odor coding at the level of third-order olfactory neurons in Drosophila
Principal component analysis of odor coding at the level of third-order olfactory neurons in Drosophila
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DOI：
10.1111/gtc.12094
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发表时间：
2013-12-01
期刊：
影响因子：
2.1
通讯作者：
Tabata, Tetsuya
中科院分区：
文献类型：
--
作者：
Hiroi, Makoto;Ohkura, Masamichi;Tabata, Tetsuya
果蝇的嗅觉信息是由嗅感觉神经元向蘑菇体中的肯扬细胞（Kenyon cells，KCs）投射的。KCs的一个子集对给定的气味分子做出反应，这些KCs的组合代表了神经元嗅觉代码的一部分。KCs也被认为是记忆形成的巧合探测器，将气味信息与巧合的惩罚或奖励刺激联系起来。关联条件作用已被证明可以修改KC输出。这种可塑性发生在含有KC的i分支的MB的垂直叶中，这通过测量每个叶的分支中的平均Ca 2+水平来显示。我们设计了一种方法来定量描述使用双光子Ca 2+成像从i分支处的>1000个KC的轴突记录的群体活动模式。主成分分析的人口活动模式明确区分不同的气味的反应。
Olfactory information in Drosophila is conveyed by projection neurons from olfactory sensory neurons to Kenyon cells (KCs) in the mushroom body (MB). A subset of KCs responds to a given odor molecule, and the combination of these KCs represents a part of the neuronal olfactory code. KCs are also thought to function as coincidence detectors for memory formation, associating odor information with a coincident punishment or reward stimulus. Associative conditioning has been shown to modify KC output. This plasticity occurs in the vertical lobes of MBs containing /' branches of KCs, which is shown by measuring the average Ca2+ levels in the branch of each lobe. We devised a method to quantitatively describe the population activity patterns recorded from axons of >1000 KCs at the /' branches using two-photon Ca2+ imaging. Principal component analysis of the population activity patterns clearly differentiated the responses to distinct odors.