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Evidence-Based Complementary and Alternative Medicine
Volume 2012 (2012), Article ID 934085, 11 pages
Partly Separated Activations in the Spatial Distribution between de-qi and Sharp Pain during Acupuncture Stimulation: An fMRI-Based Study
1Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, China
2Huaxi MR Research Center (HMRRC), Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
3Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Received 9 October 2012; Revised 4 December 2012; Accepted 5 December 2012
Academic Editor: Gerhard Litscher
Copyright © 2012 Jinbo Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- L. Bai, W. Qin, J. Tian et al., “Acupuncture modulates spontaneous activities in the anticorrelated resting brain networks,” Brain Research, vol. 1279, pp. 37–49, 2009.
- L. Bai, J. Tian, C. Zhong et al., “Acupuncture modulates temporal neural responses in wide brain networks: evidence from fMRI study,” Molecular Pain, vol. 6, article 73, 2010.
- R. P. Dhond, C. Yeh, K. Park, N. Kettner, and V. Napadow, “Acupuncture modulates resting state connectivity in default and sensorimotor brain networks,” Pain, vol. 136, no. 3, pp. 407–418, 2008.
- W. Qin, J. Tian, L. Bai et al., “FMRI connectivity analysis of acupuncture effects on an amygdala-associated brain network,” Molecular Pain, vol. 4, article 55, 2008.
- J. Fang, Z. Jin, Y. Wang et al., “The salient characteristics of the central effects of acupuncture needling: limbic-paralimbic-neocortical network modulation,” Human Brain Mapping, vol. 30, no. 4, pp. 1196–1206, 2009.
- K. K. S. Hui, J. Liu, O. Marina et al., “The integrated response of the human cerebro-cerebellar and limbic systems to acupuncture stimulation at ST 36 as evidenced by fMRI,” NeuroImage, vol. 27, no. 3, pp. 479–496, 2005.
- V. Napadow, N. Makris, J. Liu, N. W. Kettner, K. K. Kwong, and K. K. S. Hui, “Effects of electroacupuncture versus manual acupuncture on the human brain as measured by fMRI,” Human Brain Mapping, vol. 24, no. 3, pp. 193–205, 2005.
- S. S. Yoo, E. K. Teh, R. A. Blinder, and F. A. Jolesz, “Modulation of cerebellar activities by acupuncture stimulation: evidence from fMRI study,” NeuroImage, vol. 22, no. 2, pp. 932–940, 2004.
- F. Beissner, “Functional magnetic resonance imaging studies of acupuncture mechanisms: a critique,” Focus on Alternative and Complementary Therapies, vol. 16, no. 1, pp. 3–11, 2011.
- J. Kong, R. L. Gollub, J. M. Webb, J. T. Kong, M. G. Vangel, and K. Kwong, “Test-retest study of fMRI signal change evoked by electroacupuncture stimulation,” NeuroImage, vol. 34, no. 3, pp. 1171–1181, 2007.
- J. Sun, W. Qin, M. Dong et al., “Evaluation of group homogeneity during acupuncture stimulation in fMRI studies,” Journal of Magnetic Resonance Imaging, vol. 32, no. 2, pp. 298–305, 2010.
- F. Beissner, R. Deichmann, C. Henke, and K. J. Bär, “Acupuncture—deep pain with an autonomic dimension?” NeuroImage, vol. 60, pp. 653–660, 2012.
- H. MacPherson and A. Asghar, “Acupuncture needle sensations associated with De Qi: a classification based on experts' ratings,” Journal of Alternative and Complementary Medicine, vol. 12, no. 7, pp. 633–637, 2006.
- J. Kong, R. Gollub, T. Huang et al., “Acupuncture De Qi, from qualitative history to quantitative measurement,” Journal of Alternative and Complementary Medicine, vol. 13, no. 10, pp. 1059–1070, 2007.
- C. A. Vincent, P. H. Richardson, J. J. Black, and C. E. Pither, “The significance of needle placement site in acupuncture,” Journal of Psychosomatic Research, vol. 33, no. 4, pp. 489–496, 1989.
- J. Park, A. White, C. Stevinson, E. Ernst, and M. James, “Validating a new non-penetrating sham acupuncture device: two randomised controlled trials,” Acupuncture in Medicine, vol. 20, no. 4, pp. 168–174, 2002.
- P. White, F. Bishop, H. Hardy et al., “Southampton needle sensation questionnaire: development and validation of a measure to gauge acupuncture needle sensation,” Journal of Alternative and Complementary Medicine, vol. 14, no. 4, pp. 373–379, 2008.
- A. U. Asghar, G. Green, M. F. Lythgoe, G. Lewith, and H. MacPherson, “Acupuncture needling sensation: the neural correlates of deqi using fMRI,” Brain Research, vol. 1315, pp. 111–118, 2010.
- K. K. Hui, J. Liu, N. Makris et al., “Acupuncture modulates the limbic system and subcortical gray structures of the human brain: evidence from fMRI studies in normal subjects,” Human Brain Mapping, vol. 9, no. 1, pp. 13–25, 2000.
- K. K. S. Hui, O. Marina, J. D. Claunch et al., “Acupuncture mobilizes the brain's default mode and its anti-correlated network in healthy subjects,” Brain Research, vol. 1287, pp. 84–103, 2009.
- B. J. Na, G. H. Jahng, S. U. Park et al., “An fMRI study of neuronal specificity of an acupoint: electroacupuncture stimulation of Yanglingquan (GB34) and its sham point,” Neuroscience Letters, vol. 464, no. 1, pp. 1–5, 2009.
- L. Bai, H. Yan, N. Li et al., “Neural specificity of acupuncture stimulation at pericardium 6: evidence from an fMRI study,” Journal of Magnetic Resonance Imaging, vol. 31, no. 1, pp. 71–77, 2010.
- K. K. S. Hui, O. Marina, J. Liu, B. R. Rosen, and K. K. Kwong, “Acupuncture, the limbic system, and the anticorrelated networks of the brain,” Autonomic Neuroscience: Basic and Clinical, vol. 157, no. 1-2, pp. 81–90, 2010.
- L. A. Henderson, S. C. Gandevia, and V. G. Macefield, “Gender differences in brain activity evoked by muscle and cutaneous pain: a retrospective study of single-trial fMRI data,” NeuroImage, vol. 39, no. 4, pp. 1867–1876, 2008.
- G. K. Aguirre, E. Zarahn, and M. D'Esposito, “The inferential impact of global signal covariates in functional neuroimaging analyses,” NeuroImage, vol. 8, no. 3, pp. 302–306, 1998.
- A. E. Desjardins, K. A. Kiehl, and P. F. Liddle, “Removal of confounding effects of global signal in functional MRI analyses,” NeuroImage, vol. 13, no. 4, pp. 751–758, 2001.
- M. Gavrilescu, M. E. Shaw, G. W. Stuart, P. Eckersley, I. D. Svalbe, and G. F. Egan, “Simulation of the effects of global normalization procedures in functional MRI,” NeuroImage, vol. 17, no. 2, pp. 532–542, 2002.
- M. Junghöfer, H. T. Schupp, R. Stark, and D. Vaitl, “Neuroimaging of emotion: empirical effects of proportional global signal scaling in fMRI data analysis,” NeuroImage, vol. 25, no. 2, pp. 520–526, 2005.
- J. Sun, W. Qin, L. Jin et al., “Impact of global normalization in fMRI acupuncture studies,” Evidence-Based Complementary and Alternative Medicine. In press.
- L. A. Henderson, R. Bandler, S. C. Gandevia, and V. G. MacEfield, “Distinct forebrain activity patterns during deep versus superficial pain,” Pain, vol. 120, no. 3, pp. 286–296, 2006.
- D. M. Niddam, T. C. Yeh, Y. T. Wu et al., “Event-related functional MRI study on central representation of acute muscle pain induced by electrical stimulation,” NeuroImage, vol. 17, no. 3, pp. 1437–1450, 2002.
- L. Maeda, M. Ono, T. Koyama et al., “Human brain activity associated with painful mechanical stimulation to muscle and bone,” Journal of Anesthesia, vol. 25, no. 4, pp. 523–530, 2011.
- T. Lewis, Pain, McMillan, New York, NY, USA, 1942.
- P. Svensson, S. Minoshima, A. Beydoun, T. J. Morrow, and K. L. Casey, “Cerebral processing of acute skin and muscle pain in humans,” Journal of Neurophysiology, vol. 78, no. 1, pp. 450–460, 1997.
- R. Bandler, J. L. Price, and K. A. Keay, “Brain mediation of active and passive emotional coping,” Progress in Brain Research, vol. 122, pp. 333–349, 2000.
- B. M. Lumb, “Hypothalamic and midbrain circuitry that distinguishes between escapable and inescapable pain,” News in Physiological Sciences, vol. 19, no. 1, pp. 22–26, 2004.
- P. W. Nathan, M. C. Smith, and A. W. Cook, “Sensory effects in man of lesions of the posterior columns and of some other afferent pathways,” Brain, vol. 109, no. 5, pp. 1003–1041, 1986.
- H. J. W. Nauta, V. M. Soukup, R. H. Fabian et al., “Punctate midline myelotomy for the relief of visceral cancer pain,” Journal of Neurosurgery, vol. 92, no. 2, pp. 125–130, 2000.
- W. Noordenbos and P. D. Wall, “Diverse sensory functions with an almost totally divided spinal cord. A case of spinal cord transection with preservation of part of one anterolateral quadrant,” Pain, vol. 2, no. 2, pp. 185–195, 1976.
- A. C. N. Chen, M. Shimojo, P. Svensson, and L. Arendt-Nielsen, “Brain dynamics of scalp evoked potentials and current source densities to repetitive (5-pulse train) painful stimulation of skin and muscle: central correlate of temporal summation,” Brain Topography, vol. 13, no. 1, pp. 59–72, 2000.
- D. M. Niddam, T. Graven-Nielsen, L. Arendt-Nielsen, and A. C. N. Chen, “Non-painful and painful surface and intramuscular electrical stimulation at the thenar and hypothenar sites: differential cerebral dynamics of early to late latency SEPs,” Brain Topography, vol. 13, no. 4, pp. 283–292, 2001.
- M. Shimojo, P. Svensson, L. Arendt-Nielsen, and A. C. N. Chen, “Dynamic brain topography of somatosensory evoked potentials and equivalent dipoles in response to graded painful skin and muscle stimulation,” Brain Topography, vol. 13, no. 1, pp. 43–58, 2000.
- P. Svensson, A. Beydoun, T. J. Morrow, and K. L. Casey, “Non-painful and painful stimulation of human skin and muscle: analysis of cerebral evoked potentials,” Electroencephalography and Clinical Neurophysiology/Evoked Potentials, vol. 104, no. 4, pp. 343–350, 1997.
- S. J. Coen, M. Kano, A. D. Farmer et al., “Neuroticism influences brain activity during the experience of visceral pain,” Gastroenterology, vol. 141, no. 3, pp. 909–917, 2011.
- I. Tracey and P. W. Mantyh, “The cerebral signature for pain perception and its modulation,” Neuron, vol. 55, no. 3, pp. 377–391, 2007.
- J. O. Dostrovsky, “Role of thalamus in pain,” Progress in Brain Research, vol. 129, pp. 245–257, 2000.
- G. H. Duncan, M. C. Bushnell, J. D. Talbot et al., “Pain and activation in the thalamus,” Trends in Neurosciences, vol. 15, no. 7, pp. 252–253, 1992.
- F. A. Lenz, N. Weiss, S. Ohara, C. Lawson, and J. D. Greenspan, “The role of the thalamus in pain,” Supplements to Clinical Neurophysiology, vol. 57, pp. 50–61, 2004.
- A. May, “Neuroimaging: visualising the brain in pain,” Neurological Sciences, vol. 28, no. 2, pp. S101–S107, 2007.
- B. W. Balleine, M. R. Delgado, and O. Hikosaka, “The role of the dorsal striatum in reward and decision-making,” Journal of Neuroscience, vol. 27, no. 31, pp. 8161–8165, 2007.
- P. Redgrave, T. J. Prescott, and K. Gurney, “The basal ganglia: a vertebrate solution to the selection problem?” Neuroscience, vol. 89, no. 4, pp. 1009–1023, 1999.
- C. J. Starr, L. Sawaki, G. F. Wittenberg et al., “The contribution of the putamen to sensory aspects of pain: insights from structural connectivity and brain lesions,” Brain, vol. 134, no. 7, pp. 1987–2004, 2011.
- E. A. Moulton, J. D. Schmahmann, L. Becerra, and D. Borsook, “The cerebellum and pain: passive integrator or active participator?” Brain Research Reviews, vol. 65, no. 1, pp. 14–27, 2010.
- J. Downar, A. P. Crawley, D. J. Mikulis, and K. D. Davis, “A multimodal cortical network for the detection of changes in the sensory environment,” Nature Neuroscience, vol. 3, no. 3, pp. 277–283, 2000.
- J. Downar, A. P. Crawley, D. J. Mikulis, and K. D. Davis, “The effect of task relevance on the cortical response to changes in visual and auditory stimuli: an event-related fMRI study,” NeuroImage, vol. 14, no. 6, pp. 1256–1267, 2001.
- J. Downar, A. P. Crawley, D. J. Mikulis, and K. D. Davis, “A cortical network sensitive to stimulus salience in a neutral behavioral context across multiple sensory modalities,” Journal of Neurophysiology, vol. 87, no. 1, pp. 615–620, 2002.
- I. García-García, M. A. Jurado, M. Garolera et al., “Alterations of the salience network in obesity: a resting-state fMRI study,” Human Brain Mapping. In press.
- V. Menon and L. Q. Uddin, “Saliency, switching, attention and control: a network model of insula function,” Brain Structure & Function, vol. 214, no. 5-6, pp. 655–667, 2010.
- W. W. Seeley, V. Menon, A. F. Schatzberg et al., “Dissociable intrinsic connectivity networks for salience processing and executive control,” Journal of Neuroscience, vol. 27, no. 9, pp. 2349–2356, 2007.
- Z. Yuan, W. Qin, D. Wang, T. Jiang, Y. Zhang, and C. Yu, “The salience network contributes to an individual's fluid reasoning capacity,” Behavioural Brain Research, vol. 229, no. 2, pp. 384–390, 2012.
- L. Bai, W. Qin, J. Tian et al., “Time-varied characteristics of acupuncture effects in fMRI studies,” Human Brain Mapping, vol. 30, no. 11, pp. 3445–3460, 2009.