Neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients

The periventricular/periaqueductal gray (PAG/PVG) is critical for pain perception and is associated with the emotional feelings caused by pain. However, the electrophysiological characteristics of the PAG/PVG have been little investigated in humans with chronic pain. The present study analyzed the o...

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Autores principales:	Huichun Luo, Yongzhi Huang, Alexander L. Green, Tipu Z. Aziz, Xiao Xiao, Shouyan Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Periventricular/periaqueductal gray Local field potential Neural oscillation Dynamic neural state Local network Pain components Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/ebc82edd2a76458cb21326e5add28cfa
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spelling	oai:doaj.org-article:ebc82edd2a76458cb21326e5add28cfa2021-11-14T04:32:41ZNeurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients2213-158210.1016/j.nicl.2021.102876https://doaj.org/article/ebc82edd2a76458cb21326e5add28cfa2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S221315822100320Xhttps://doaj.org/toc/2213-1582The periventricular/periaqueductal gray (PAG/PVG) is critical for pain perception and is associated with the emotional feelings caused by pain. However, the electrophysiological characteristics of the PAG/PVG have been little investigated in humans with chronic pain. The present study analyzed the oscillatory characteristics of local field potentials (LFPs) in the PAG/PVG of eighteen neuropathic pain patients. Power spectrum analysis and neural state analysis were applied to the PAG/PVG LFPs. Neural state analysis is based on a dynamic neural state identification approach and discriminates the LFPs into different neural states, including a single neural state based on one oscillation and a combinational neural state based on two paired oscillations. The durations and occurrence rates were used to quantify the dynamic features of the neural state. The results show that the combined neural state forms three local networks based on neural oscillations that are responsible for the perceptive, sensory, and affective components of pain. The first network is formed by the interaction of the delta oscillation with other oscillations and is responsible for the coding of pain perception. The second network is responsible for the coding of sensory pain information, uses high gamma as the main node, and is widely connected with other neural oscillations. The third network is responsible for the coding of affective pain information, and beta oscillations play an important role in it. This study suggested that the combination of two neural oscillations in the PAG/PVG is essential for encoding perceptive, sensory, and affective measures of pain.Huichun LuoYongzhi HuangAlexander L. GreenTipu Z. AzizXiao XiaoShouyan WangElsevierarticlePeriventricular/periaqueductal grayLocal field potentialNeural oscillationDynamic neural stateLocal networkPain componentsComputer applications to medicine. Medical informaticsR858-859.7Neurology. Diseases of the nervous systemRC346-429ENNeuroImage: Clinical, Vol 32, Iss , Pp 102876- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Periventricular/periaqueductal gray Local field potential Neural oscillation Dynamic neural state Local network Pain components Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
spellingShingle	Periventricular/periaqueductal gray Local field potential Neural oscillation Dynamic neural state Local network Pain components Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429 Huichun Luo Yongzhi Huang Alexander L. Green Tipu Z. Aziz Xiao Xiao Shouyan Wang Neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients
description	The periventricular/periaqueductal gray (PAG/PVG) is critical for pain perception and is associated with the emotional feelings caused by pain. However, the electrophysiological characteristics of the PAG/PVG have been little investigated in humans with chronic pain. The present study analyzed the oscillatory characteristics of local field potentials (LFPs) in the PAG/PVG of eighteen neuropathic pain patients. Power spectrum analysis and neural state analysis were applied to the PAG/PVG LFPs. Neural state analysis is based on a dynamic neural state identification approach and discriminates the LFPs into different neural states, including a single neural state based on one oscillation and a combinational neural state based on two paired oscillations. The durations and occurrence rates were used to quantify the dynamic features of the neural state. The results show that the combined neural state forms three local networks based on neural oscillations that are responsible for the perceptive, sensory, and affective components of pain. The first network is formed by the interaction of the delta oscillation with other oscillations and is responsible for the coding of pain perception. The second network is responsible for the coding of sensory pain information, uses high gamma as the main node, and is widely connected with other neural oscillations. The third network is responsible for the coding of affective pain information, and beta oscillations play an important role in it. This study suggested that the combination of two neural oscillations in the PAG/PVG is essential for encoding perceptive, sensory, and affective measures of pain.
format	article
author	Huichun Luo Yongzhi Huang Alexander L. Green Tipu Z. Aziz Xiao Xiao Shouyan Wang
author_facet	Huichun Luo Yongzhi Huang Alexander L. Green Tipu Z. Aziz Xiao Xiao Shouyan Wang
author_sort	Huichun Luo
title	Neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients
title_short	Neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients
title_full	Neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients
title_fullStr	Neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients
title_full_unstemmed	Neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients
title_sort	neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/ebc82edd2a76458cb21326e5add28cfa
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Neurophysiological characteristics in the periventricular/periaqueductal gray correlate with pain perception, sensation, and affect in neuropathic pain patients

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