The potential associations between acupuncture sensation and brain functional network: a EEG study

Bai L, Qin W, Tian J et al (2009) Detection of dynamic brain networks modulated by acupuncture using a graph theory model. Prog Nat Sci 19:827–835. https://doi.org/10.1016/j.pnsc.2008.09.009

Article  Google Scholar 

Betzel RF, Erickson MA, Abell M et al (2012) Synchronization dynamics and evidence for a repertoire of network states in resting EEG. Front Comput Neurosci 6:74. https://doi.org/10.3389/fncom.2012.00074

Article  PubMed  PubMed Central  Google Scholar 

Bian HR, Wang J, Han CX et al (2011) Features extraction from EEG signals induced by acupuncture based on the complexity analysis. Wuli XuebaoActa Phys Sin 60:118701

Article  Google Scholar 

Cao J, Qu Y, Chen L et al (2023) The regulations on cortical activation and functional connectivity of the dorsolateral prefrontal cortex-primary somatosensory cortex elicited by acupuncture with reinforcing-reducing manipulation. Front Hum Neurosci 17:1159378

Article  PubMed  PubMed Central  Google Scholar 

Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20:273–297. https://doi.org/10.1007/BF00994018

Article  Google Scholar 

Cribben I, Wager T, Lindquist M (2013) Detecting functional connectivity change points for single-subject fMRI data. Front Comput Neurosci 7:143. https://doi.org/10.3389/fncom.2013.00143

Article  PubMed  PubMed Central  Google Scholar 

Feng Y, Bai L, Ren Y et al (2011) Investigation of the large-scale functional brain networks modulated by acupuncture. Magn Reson Imaging 29:958–965. https://doi.org/10.1016/j.mri.2011.04.009

Article  PubMed  Google Scholar 

Fernandez Rojas R, Liao M, Romero J et al (2019) Cortical network response to acupuncture and the effect of the hegu point: an FNIRS study. Sensors 19:394. https://doi.org/10.3390/s19020394

Article  PubMed  PubMed Central  Google Scholar 

Gadhoumi K, Lina J-M, Mormann F, Gotman J (2016) Seizure prediction for therapeutic devices: a review. J Neurosci Methods 260:270–282. https://doi.org/10.1016/j.jneumeth.2015.06.010

Article  PubMed  Google Scholar 

Guo L, Wang Y, Yu H et al (2014) Study of brain functional network based on sample entropy of EEG under magnetic stimulation at PC6 acupoint. Biomed Mater Eng 24:1063–1069. https://doi.org/10.3233/BME-130904

Article  PubMed  Google Scholar 

Hankey GJ (2017) Stroke. Lancet Lond Engl 389:641–654. https://doi.org/10.1016/S0140-6736(16)30962-X

Article  Google Scholar 

He Y, Evans A (2010) Graph theoretical modeling of brain connectivity. Curr Opin Neurol 23:341–350. https://doi.org/10.1097/WCO.0b013e32833aa567

Article  PubMed  Google Scholar 

He H, Garcia EA (2009) Learning from imbalanced data. IEEE Trans Knowl Data Eng 21:1263–1284. https://doi.org/10.1109/TKDE.2008.239

Article  Google Scholar 

Hori E, Takamoto K, Urakawa S et al (2010) Effects of acupuncture on the brain hemodynamics. Auton Neurosci 157:74–80. https://doi.org/10.1016/j.autneu.2010.06.007

Article  PubMed  Google Scholar 

Huang W, Pach D, Napadow V et al (2012) Characterizing acupuncture stimuli using brain imaging with FMRI—a systematic review and meta-analysis of the literature. PLoS ONE 7:e32960. https://doi.org/10.1371/journal.pone.0032960

Article  PubMed  PubMed Central  CAS  Google Scholar 

Hui KKS, Liu J, Marina O et al (2005) The integrated response of the human cerebro-cerebellar and limbic systems to acupuncture stimulation at ST 36 as evidenced by FMRI. Neuroimage 27:479–496. https://doi.org/10.1016/j.neuroimage.2005.04.037

Article  PubMed  Google Scholar 

Kolb B, Whishaw IQ (2009) Fundamentals of human neuropsychology 6th ed. Worth Publishers, New York, NY

Google Scholar 

Kong J, Gollub R, Huang T et al (2007) Acupuncture De Qi, from qualitative history to quantitative measurement. J Altern Complement Med 13:1059–1070. https://doi.org/10.1089/acm.2007.0524

Article  PubMed  Google Scholar 

Lee G-E, Yun J-M, Yang S-B et al (2017) Deqi induction by HT7 acupuncture alters theta and alpha band coherence in human healthy subjects. Evid-Based Complement Altern Med ECAM 2017:7107136. https://doi.org/10.1155/2017/7107136

Article  Google Scholar 

Li H, Wang J, Yi G et al (2017) EEG-based functional networks evoked by acupuncture at ST 36: a data-driven thresholding study. Int J Mod Phys B 31:1750187. https://doi.org/10.1142/S0217979217501879

Article  Google Scholar 

Liang Z, Zhang G, Xu S, et al (2011) A kernel-decision tree based algorithm for outcome prediction on acupuncture for neck pain: a new method for interim analysis. In: 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). pp 760–764

Liu J, Qin W, Guo Q et al (2010) Distinct brain networks for time-varied characteristics of acupuncture. Neurosci Lett 468:353–358. https://doi.org/10.1016/j.neulet.2009.11.031

Article  PubMed  CAS  Google Scholar 

Liu B, Chen J, Wang J et al (2012) Altered small-world efficiency of brain functional networks in acupuncture at ST36: a functional MRI study. PLoS ONE 7:e39342. https://doi.org/10.1371/journal.pone.0039342

Article  PubMed  PubMed Central  CAS  Google Scholar 

Micheloyannis S, Pachou E, Stam CJ et al (2006) Small-world networks and disturbed functional connectivity in schizophrenia. Schizophr Res 87:60–66. https://doi.org/10.1016/j.schres.2006.06.028

Article  PubMed  Google Scholar 

Mormann F, Lehnertz K, David P, Elger CE (2000) Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients. Phys Nonlinear Phenom 144:358–369. https://doi.org/10.1016/S0167-2789(00)00087-7

Article  Google Scholar 

Nolte G, Bai O, Wheaton L et al (2004) Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin Neurophysiol off J Int Fed Clin Neurophysiol 115:2292–2307. https://doi.org/10.1016/j.clinph.2004.04.029

Article  Google Scholar 

Pei X, Wang J, Deng B et al (2014) WLPVG approach to the analysis of EEG-based functional brain network under manual acupuncture. Cogn Neurodyn 8:417–428. https://doi.org/10.1007/s11571-014-9297-x

Article  PubMed  PubMed Central  Google Scholar 

Ren Y, Bai L, Feng Y et al (2010) Investigation of acupoint specificity by functional connectivity analysis based on graph theory. Neurosci Lett 482:95–100. https://doi.org/10.1016/j.neulet.2010.06.091

Article  PubMed  CAS  Google Scholar 

Röschke J, Fell J, Beckmann P (1995) Nonlinear analysis of sleep EEG data in schizophrenia: calculation of the principal Lyapunov exponent. Psychiatry Res 56:257–269. https://doi.org/10.1016/0165-1781(95)02562-B

Article  PubMed  Google Scholar 

Si X, Xiang S, Zhang L et al (2021) Acupuncture with DEQI modulates the hemodynamic response and functional connectivity of the prefrontal-motor cortical network. Front Neurosci 15:693623. https://doi.org/10.3389/fnins.2021.693623

Article  PubMed  PubMed Central  Google Scholar 

Stam CJ, Nolte G, Daffertshofer A (2007) Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Hum Brain Mapp 28:1178–1193. https://doi.org/10.1002/hbm.20346

Article  PubMed  PubMed Central  Google Scholar 

Strogatz SH (2001) Exploring complex networks. Nature 410:268–276. https://doi.org/10.1038/35065725

Article  PubMed  CAS  Google Scholar 

Sun R, He Z, Ma P et al (2021) The participation of basolateral amygdala in the efficacy of acupuncture with DEQI treating for functional dyspepsia. Brain Imaging Behav 15:216–230. https://doi.org/10.1007/s11682-019-00249-7

Article  PubMed  Google Scholar 

Vázquez-Guimaraens M, Caamaño-Ponte JL, Seoane-Pillado T, Cudeiro J (2021) Factors related to greater functional recovery after suffering a stroke. Brain Sci 11:802. https://doi.org/10.3390/brainsci11060802

Article  PubMed  PubMed Central 

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