通过比对个体间气味图来评估大鼠嗅球肾小球模式局部排列的方法。

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Journal of Computational Neuroscience Pub Date : 2023-11-01 Epub Date: 2023-08-25 DOI:10.1007/s10827-023-00858-8
Aleksey E Matukhno, Mikhail V Petrushan, Valery N Kiroy, Fedor V Arsenyev, Larisa V Lysenko
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引用次数: 0

摘要

啮齿类动物气味功能图的比较表明,肾小球活动模式具有高度的个体间变异性。肾小球模式局部排列的个体间评估存在很大的方法学困难,因为解剖颅外标志的位置以及嗅球的大小、形状和角度方向可能存在显著差异。本文提出了一种确定大鼠嗅球活动肾小球解剖坐标的新方法。该方法比较了个体间气味功能图,并计算了肾小球活动的概率图。这种调整涉及根据解剖坐标计算的功能图相对于其在概率图中的预期位置的旋转、缩放和移位。气味特异性反应的概率图的计算补偿了由于嗅球尺寸和角度方向的个体可变性而产生的潜在的解剖误差。我们在大鼠嗅球背表面双光子钙成像记录的大型动物样本的真实数据上展示了它的有效性。所提出的具有概率图计算的方法能够评估不同大鼠个体气味影响的空间一致性,并能够识别嗅球肾小球层中气味特异性簇的定型位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps.

The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps.

The comparison of odor functional maps in rodents demonstrates a high degree of inter-individual variability in glomerular activity patterns. There are substantial methodological difficulties in the interindividual assessment of local permutations in the glomerular patterns, since the position of anatomical extracranial landmarks, as well as the size, shape and angular orientation of olfactory bulbs can vary significantly. A new method for defining anatomical coordinates of active glomeruli in the rat olfactory bulb has been developed. The method compares the interindividual odor functional maps and calculates probabilistic maps of glomerular activity with adjustment. This adjustment involves rotation, scaling and shift of the functional map relative to its expected position in probabilistic map, computed according to the anatomical coordinates. The calculation of the probabilistic map of the odorant-specific response compensates for potential anatoamical errors due to individual variability in olfactory bulb dimensions and angular orientation. We show its efficiency on real data from a large animal sample recorded by two-photon calcium imaging in dorsal surface of the rat olfactory bulb. The proposed method with probabilistic map calculation enables the spatial consistency of the effects of individual odorants in different rats to be assessed and allow stereotypical positions of odor-specific clusters in the glomerular layer of the olfactory bulb to be identified.

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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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