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Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study

Acupuncture is a practice of treatment based on influencing specific points on the body by inserting needles. According to traditional Chinese medicine, the aim of acupuncture treatment for pain management is to use specific acupoints to relieve excess, activate qi (or vital energy), and improve blo...

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Autores principales: Fernandez Rojas, Raul, Liao, Mingyu, Romero, Julio, Huang, Xu, Ou, Keng-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359459/
https://www.ncbi.nlm.nih.gov/pubmed/30669377
http://dx.doi.org/10.3390/s19020394
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author Fernandez Rojas, Raul
Liao, Mingyu
Romero, Julio
Huang, Xu
Ou, Keng-Liang
author_facet Fernandez Rojas, Raul
Liao, Mingyu
Romero, Julio
Huang, Xu
Ou, Keng-Liang
author_sort Fernandez Rojas, Raul
collection PubMed
description Acupuncture is a practice of treatment based on influencing specific points on the body by inserting needles. According to traditional Chinese medicine, the aim of acupuncture treatment for pain management is to use specific acupoints to relieve excess, activate qi (or vital energy), and improve blood circulation. In this context, the Hegu point is one of the most widely-used acupoints for this purpose, and it has been linked to having an analgesic effect. However, there exists considerable debate as to its scientific validity. In this pilot study, we aim to identify the functional connectivity related to the three main types of acupuncture manipulations and also identify an analgesic effect based on the hemodynamic response as measured by functional near-infrared spectroscopy (fNIRS). The cortical response of eleven healthy subjects was obtained using fNIRS during an acupuncture procedure. A multiscale analysis based on wavelet transform coherence was employed to assess the functional connectivity of corresponding channel pairs within the left and right somatosensory region. The wavelet analysis was focused on the very-low frequency oscillations (VLFO, 0.01–0.08 Hz) and the low frequency oscillations (LFO, 0.08–0.15 Hz). A mixed model analysis of variance was used to appraise statistical differences in the wavelet domain for the different acupuncture stimuli. The hemodynamic response after the acupuncture manipulations exhibited strong activations and distinctive cortical networks in each stimulus. The results of the statistical analysis showed significant differences ([Formula: see text]) between the tasks in both frequency bands. These results suggest the existence of different stimuli-specific cortical networks in both frequency bands and the anaesthetic effect of the Hegu point as measured by fNIRS.
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spelling pubmed-63594592019-02-06 Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study Fernandez Rojas, Raul Liao, Mingyu Romero, Julio Huang, Xu Ou, Keng-Liang Sensors (Basel) Article Acupuncture is a practice of treatment based on influencing specific points on the body by inserting needles. According to traditional Chinese medicine, the aim of acupuncture treatment for pain management is to use specific acupoints to relieve excess, activate qi (or vital energy), and improve blood circulation. In this context, the Hegu point is one of the most widely-used acupoints for this purpose, and it has been linked to having an analgesic effect. However, there exists considerable debate as to its scientific validity. In this pilot study, we aim to identify the functional connectivity related to the three main types of acupuncture manipulations and also identify an analgesic effect based on the hemodynamic response as measured by functional near-infrared spectroscopy (fNIRS). The cortical response of eleven healthy subjects was obtained using fNIRS during an acupuncture procedure. A multiscale analysis based on wavelet transform coherence was employed to assess the functional connectivity of corresponding channel pairs within the left and right somatosensory region. The wavelet analysis was focused on the very-low frequency oscillations (VLFO, 0.01–0.08 Hz) and the low frequency oscillations (LFO, 0.08–0.15 Hz). A mixed model analysis of variance was used to appraise statistical differences in the wavelet domain for the different acupuncture stimuli. The hemodynamic response after the acupuncture manipulations exhibited strong activations and distinctive cortical networks in each stimulus. The results of the statistical analysis showed significant differences ([Formula: see text]) between the tasks in both frequency bands. These results suggest the existence of different stimuli-specific cortical networks in both frequency bands and the anaesthetic effect of the Hegu point as measured by fNIRS. MDPI 2019-01-18 /pmc/articles/PMC6359459/ /pubmed/30669377 http://dx.doi.org/10.3390/s19020394 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fernandez Rojas, Raul
Liao, Mingyu
Romero, Julio
Huang, Xu
Ou, Keng-Liang
Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study
title Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study
title_full Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study
title_fullStr Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study
title_full_unstemmed Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study
title_short Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study
title_sort cortical network response to acupuncture and the effect of the hegu point: an fnirs study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359459/
https://www.ncbi.nlm.nih.gov/pubmed/30669377
http://dx.doi.org/10.3390/s19020394
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