Choice of method of place cell classification determines the population of cells identified
Choice of method of place cell classification determines the population of cells identified
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位置细胞分类方法的选择决定了所识别的细胞群
DOI：
10.1101/2021.02.26.433025
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Grijseels D
中科院分区：
文献类型：
--
作者：
Grijseels D
位置细胞，空间反应的海马细胞，提供支持导航和空间记忆的神经基质。从历史上看，对这些神经元的大多数研究都是使用植入电极的电生理记录，但测量细胞内钙的光学方法正变得越来越普遍。已经提出了几种方法作为根据钙活性来识别位置细胞的方法，但没有统一的标准，也不清楚不同方法的可靠性如何。在这里，我们使用模型数据集和真实成像数据，测试了四种先前应用于双光子海马成像或电生理数据的方法。这些方法使用不同的参数来识别位置细胞，包括与其他位置相比，位置场中的峰值活动（峰值方法）；细胞活动在环境中重复遍历的稳定性（稳定性法）；这些参数与位置场大小的组合（组合法）；以及细胞所持有的空间信息（信息法）。这些方法在模型和实际数据上的表现不同。在真实的数据集中，使用这四种方法识别的位置细胞数量差异很大，被识别为位置细胞的群体之间几乎没有重叠。因此，位置细胞检测方法的选择对识别细胞的数量和性质有很大的影响。最后，我们建议在未来的研究中使用峰值方法来识别位置细胞群体，因为该方法对会话中位置场的适度变化具有鲁棒性，并且对位置场的空间信息没有固有的假设，除非有明确的理论理由来检测具有更狭义定义的细胞。
Place cells, spatially responsive hippocampal cells, provide the neural substrate supporting navigation and spatial memory. Historically most studies of these neurons have used electrophysiological recordings from implanted electrodes but optical methods, measuring intracellular calcium, are becoming increasingly common. Several methods have been proposed as a means to identify place cells based on their calcium activity but there is no common standard and it is unclear how reliable different approaches are. Here we tested four methods that have previously been applied to two-photon hippocampal imaging or electrophysiological data, using both model datasets and real imaging data. These methods use different parameters to identify place cells, including the peak activity in the place field, compared to other locations (the Peak method); the stability of cells’ activity over repeated traversals of an environment (Stability method); a combination of these parameters with the size of the place field (Combination method); and the spatial information held by the cells (Information method). The methods performed differently from each other on both model and real data. In real datasets, vastly different numbers of place cells were identified using the four methods, with little overlap between the populations identified as place cells. Therefore, choice of place cell detection method dramatically affects the number and properties of identified cells. Ultimately, we recommend the Peak method be used in future studies to identify place cell populations, as this method is robust to moderate variations in place field within a session, and makes no inherent assumptions about the spatial information in place fields, unless there is an explicit theoretical reason for detecting cells with more narrowly defined properties.
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影响因子：
16.2
作者：
Aronov, Dmitriy;Tank, David W.
通讯作者：
Tank, David W.
影响因子：
56.9
作者：
WILSON, MA;MCNAUGHTON, BL
通讯作者：
MCNAUGHTON, BL
DOI：
10.1073/pnas.95.6.3182
发表时间：
1998-03-17
影响因子：
11.1
作者：
Fenton, AA;Muller, RU
通讯作者：
Muller, RU
DOI：
10.1016/j.cub.2021.01.005
发表时间：
2021-03-22
期刊：
Current biology : CB
影响因子：
--
作者：
Duvelle É;Grieves RM;Liu A;Jedidi-Ayoub S;Holeniewska J;Harris A;Nyberg N;Donnarumma F;Lefort JM;Jeffery KJ;Summerfield C;Pezzulo G;Spiers HJ
通讯作者：
Spiers HJ
影响因子：
16.2
作者：
Villette V;Malvache A;Tressard T;Dupuy N;Cossart R
通讯作者：
Cossart R