Quantitative unit classification of ventral tegmental area neurons in vivo
Quantitative unit classification of ventral tegmental area neurons in vivo
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DOI：
10.1152/jn.00575.2011
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发表时间：
2012-05-01
影响因子：
2.5
通讯作者：
Dani, John A.
中科院分区：
文献类型：
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作者：
Li, Wei;Doyon, William M.;Dani, John A.
李伟，Doyon WM，Dani JA。活体腹侧被盖区神经元的定量单位分类。神经生理学杂志107：2808-2820,2012。首次发表于2012年2月29日；doi：10.1152/jn.00575.2011。-腹侧被盖区的神经元合成几种主要的神经递质，包括多巴胺(DA)、氨基丁酸和谷氨酸。为了对自由活动大鼠的VTA单单位神经活动进行分类，我们使用了层次凝聚聚类和概率分布作为定量方法。在检查了许多参数后，出现了10赫兹的放电频率，作为低放电和高放电神经元簇之间的过渡频率。为了形成一个具有GABA能特征的高放电神经元亚群，将高放电分类按峰时程进行分类。为了形成一个被认为是DA神经元的亚群，根据对奎比罗和依替氯必利的DA D2型受体的药理学反应对低放电分类进行了分类。D2型受体激动剂奎比罗可抑制DA神经元的放电，D2型受体拮抗剂依替氯必利可使DA神经元恢复到接近基线的放电频率或更高的放电频率。其他单位类型对这些D2型受体药物的反应不同。神经特性的多维比较表明，这些亚群通常相互独立地聚集在一起，重叠最少。放电模式变异性可以可靠地将可能的DA神经元与其他单位类型区分开来。相突发特性和穗间间隔分布的低偏斜度的组合产生了与D2药理学分类的神经种群相当的神经种群。这些发现为未麻醉动物VTA神经元的分类提供了一种定量的统计方法。
Li W, Doyon WM, Dani JA. Quantitative unit classification of ventral tegmental area neurons in vivo. J Neurophysiol 107: 2808-2820, 2012. First published February 29, 2012; doi:10.1152/jn.00575.2011.-Neurons in the ventral tegmental area (VTA) synthesize several major neurotransmitters, including dopamine (DA), GABA, and glutamate. To classify VTA single-unit neural activity from freely moving rats, we used hierarchical agglomerative clustering and probability distributions as quantitative methods. After many parameters were examined, a firing rate of 10 Hz emerged as a transition frequency between clusters of low-firing and high-firing neurons. To form a subgroup identified as high-firing neurons with GABAergic characteristics, the high-firing classification was sorted by spike duration. To form a subgroup identified as putative DA neurons, the low-firing classification was sorted by DA D2-type receptor pharmacological responses to quinpirole and eticlopride. Putative DA neurons were inhibited by the D2-type receptor agonist quinpirole and returned to near-baseline firing rates or higher following the D2-type receptor antagonist eticlopride. Other unit types showed different responses to these D2-type receptor drugs. A multidimensional comparison of neural properties indicated that these subgroups often clustered independently of each other with minimal overlap. Firing pattern variability reliably distinguished putative DA neurons from other unit types. A combination of phasic burst properties and a low skew in the inter-spike interval distribution produced a neural population that was comparable to the one sorted by D2 pharmacology. These findings provide a quantitative statistical approach for the classification of VTA neurons in unanesthetized animals.