Identification of neural networks that contribute to motion sickness through principal components analysis of fos labeling induced by galvanic vestibular stimulation.

Identification of neural networks that contribute to motion sickness through principal components analysis of fos labeling induced by galvanic vestibular stimulation.
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DOI:
10.1371/journal.pone.0086730
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Yates BJ
Yates BJ
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Balaban CD;Ogburn SW;Warshafsky SG;Ahmed A;Yates BJ

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晕动病是一种复杂的病症,包括明显的症状(例如呕吐)和更隐蔽的症状(例如焦虑和不祥预感)。介导这些体征和症状的神经通路尚未确定。这项研究绘制了在电前庭刺激范式中引发的 c-fos 蛋白 (Fos) 样免疫反应性的分布,已知这种刺激范式会引起猫科动物晕动病。主成分分析用于根据不同细胞核中 Fos 标记之间的功能相关性来识别在此刺激范式期间激活的神经元网络。该分析确定了 5 个主要组成部分(神经网络),它们占 Fos 标记方差的 95% 以上。其中两个成分与晕动病症状的严重程度相关,并且可能参与了该病症的明显症状的产生。这些网络之一包括蓝斑、内侧、下和外侧前庭核、外侧孤束核、内侧臂旁核和导水管周围灰质的神经元。第二个包括前庭上核、小脑前核、导水管周围灰质和臂旁核中的神经元,与中缝核的关联较弱。还发现了三个与晕动病症状的严重程度无关的附加组件(网络)。这些网络可能介导了晕动病的隐蔽方面,例如情感成分。与晕动病的发展相关的五个统计上独立的组成网络的识别提供了一个机会,可以在网络激活维度上考虑在刺激性环境中引发的体征和症状的复杂进展。类似的方法可用于解析调节对环境刺激的其他复杂反应的神经网络。
Motion sickness is a complex condition that includes both overt signs (e.g., vomiting) and more covert symptoms (e.g., anxiety and foreboding). The neural pathways that mediate these signs and symptoms are yet to identified. This study mapped the distribution of c-fos protein (Fos)-like immunoreactivity elicited during a galvanic vestibular stimulation paradigm that is known to induce motion sickness in felines. A principal components analysis was used to identify networks of neurons activated during this stimulus paradigm from functional correlations between Fos labeling in different nuclei. This analysis identified five principal components (neural networks) that accounted for greater than 95% of the variance in Fos labeling. Two of the components were correlated with the severity of motion sickness symptoms, and likely participated in generating the overt signs of the condition. One of these networks included neurons in locus coeruleus, medial, inferior and lateral vestibular nuclei, lateral nucleus tractus solitarius, medial parabrachial nucleus and periaqueductal gray. The second included neurons in the superior vestibular nucleus, precerebellar nuclei, periaqueductal gray, and parabrachial nuclei, with weaker associations of raphe nuclei. Three additional components (networks) were also identified that were not correlated with the severity of motion sickness symptoms. These networks likely mediated the covert aspects of motion sickness, such as affective components. The identification of five statistically independent component networks associated with the development of motion sickness provides an opportunity to consider, in network activation dimensions, the complex progression of signs and symptoms that are precipitated in provocative environments. Similar methodology can be used to parse the neural networks that mediate other complex responses to environmental stimuli.
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