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引用本文的文献

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本文引用的文献

1
Electrodermal activity processing: a convex optimization approach.皮肤电活动处理:一种凸优化方法。
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:2290-3. doi: 10.1109/EMBC.2014.6944077.
2
Brain Circuitry Supporting Multi-Organ Autonomic Outflow in Response to Nausea.支持多器官自主神经流出以应对恶心的脑回路。
Cereb Cortex. 2016 Feb;26(2):485-97. doi: 10.1093/cercor/bhu172. Epub 2014 Aug 12.
3
Identification of sites of sympathetic outflow at rest and during emotional arousal: concurrent recordings of sympathetic nerve activity and fMRI of the brain.在静息和情绪唤起时识别交感传出的部位:交感神经活动的同步记录和脑 fMRI。
Int J Psychophysiol. 2013 Sep;89(3):451-9. doi: 10.1016/j.ijpsycho.2013.06.002. Epub 2013 Jun 12.
4
Real-time imaging of cortical areas involved in the generation of increases in skin sympathetic nerve activity when viewing emotionally charged images.实时观察情绪图片时大脑皮层参与皮肤交感神经活动增加的影像。
Neuroimage. 2012 Aug 1;62(1):30-40. doi: 10.1016/j.neuroimage.2012.04.049. Epub 2012 May 2.
5
The brain circuitry underlying the temporal evolution of nausea in humans.人类恶心的时间演变的大脑回路。
Cereb Cortex. 2013 Apr;23(4):806-13. doi: 10.1093/cercor/bhs073. Epub 2012 Apr 2.
6
The relationship between BOLD signal and autonomic nervous system functions: implications for processing of "physiological noise".BOLD 信号与自主神经系统功能之间的关系:对“生理噪声”处理的启示。
Magn Reson Imaging. 2011 Dec;29(10):1338-45. doi: 10.1016/j.mri.2011.03.006. Epub 2011 May 2.
7
Static and dynamic autonomic response with increasing nausea perception.随着恶心感增强的静态和动态自主神经反应。
Aviat Space Environ Med. 2011 Apr;82(4):424-33. doi: 10.3357/asem.2932.2011.
8
Autonomic nervous system activity in emotion: a review.自主神经系统活动与情绪:综述。
Biol Psychol. 2010 Jul;84(3):394-421. doi: 10.1016/j.biopsycho.2010.03.010. Epub 2010 Apr 4.
9
Time-series analysis for rapid event-related skin conductance responses.时间序列分析用于快速事件相关皮肤电反应。
J Neurosci Methods. 2009 Nov 15;184(2):224-34. doi: 10.1016/j.jneumeth.2009.08.005. Epub 2009 Aug 15.
10
Autonomic responses during motion sickness induced by virtual reality.虚拟现实诱发晕动病期间的自主神经反应
Auris Nasus Larynx. 2007 Sep;34(3):303-6. doi: 10.1016/j.anl.2007.01.002. Epub 2007 Mar 1.

结合汗腺运动神经冲动估计与功能磁共振成像来研究中枢对恶心的交感神经反应。

Combining sudomotor nerve impulse estimation with fMRI to investigate the central sympathetic response to nausea.

作者信息

Sclocco Roberta, Citi Luca, Garcia Ronald G, Cerutti Sergio, Bianchi Anna M, Kuo Braden, Napadow Vitaly, Barbieri Riccardo

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:4683-6. doi: 10.1109/EMBC.2015.7319439.

DOI:10.1109/EMBC.2015.7319439
PMID:26737339
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7309302/
Abstract

The skin conductance (SC) signal is one of the most important non-invasive indirect measures of autonomic outflow. Several mathematical models have been proposed in the literature to characterize specific SC features. In this work, we present a method for the estimation of central control of sudomotor nerve impulse (SMI) function using SC. The method is based on a differential formulation decomposed into two first order differential equations. We validate our estimation framework by applying it on an experimental protocol where eleven motion sickness-prone subjects were exposed to a nauseogenic visual stimulus while SC and fMRI signals were recorded. Our results show an expected significant increase in the mean amplitude of SMI peaks during the highest reported nausea, as well as a decreasing trend during recovery, which was not evident for skin conductance level. Importantly, SMI/fMRI analysis found a negative association between SMI and fMRI signal in orbitofrontal, dorsolateral prefrontal, and posterior insula cortices, consistent with previous studies correlating brain fMRI and microneurographic signals.

摘要

皮肤电导率(SC)信号是自主神经输出最重要的非侵入性间接测量指标之一。文献中已经提出了几种数学模型来描述特定的SC特征。在这项工作中,我们提出了一种使用SC估计汗腺运动神经冲动(SMI)功能中枢控制的方法。该方法基于分解为两个一阶微分方程的微分公式。我们通过将其应用于一个实验方案来验证我们的估计框架,在该方案中,11名易患晕动病的受试者在记录SC和功能磁共振成像(fMRI)信号的同时,暴露于致呕视觉刺激下。我们的结果显示,在报告的最高恶心程度期间,SMI峰值的平均幅度有预期的显著增加,以及恢复期间的下降趋势,这在皮肤电导率水平上并不明显。重要的是,SMI/fMRI分析发现,在眶额、背外侧前额叶和后岛叶皮质中,SMI与fMRI信号之间存在负相关,这与之前将脑fMRI和微神经图信号相关联的研究一致。