Skip to main content

Abstract

Needling manipulation can evoke consistently increased signal changes across several different brain regions as well as evoke more complex and time-varied neural responses during the poststimulus phase. Acupuncture creates a biphasic response consisting of an initial phase involving effects due to needle stimulation of deep tissue, with skin piercing and biochemical reactions to tissue damage, followed by a second phase comprising prolonged physiological effects for a period after the removal of the acupuncture needle. Stimulating different acupoints for treating various clinical conditions is usually accompanied by multidimensional physiological as well as psychological responses which are regulated by the CNS. This suggests that the peripheral acupoint-brain interaction may involve the coordinated activity of large-scale brain networks. The CNS encodes the body’s responses to peripheral stimulation at different acupoints which are then deciphered within a functionally specific brain network. Furthermore, the late, sustained response (the second phase described above) utilizes these brain networks to implement certain long-term functions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput Biol. 2007;3(2):e17.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Achard S, Salvador R, Whitcher B, et al. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci. 2006;26(1):63–72.

    Article  CAS  PubMed  Google Scholar 

  • Albert R, Jeong H, Barabá si AL. Error and attack tolerance of complex networks. Nature. 2000;406(6794):378–82.

    Article  CAS  PubMed  Google Scholar 

  • Bai L. The sustained effects of acupuncture. Doctoral dissertation, Xidian University; 2009c.

    Google Scholar 

  • Bai L, Qin W, Liang J, et al. Spatiotemporal modulation of central neural pathway underlying acupuncture action: a systematic review. Curr Med Imaging Rev. 2009a;5(3):167–73.

    Article  Google Scholar 

  • Bai L, Qin W, Tian J. Time-varied characteristics of acupuncture effects in fMRI studies. Hum Brain Mapp. 2009b;30(11):3445–60.

    Article  PubMed  Google Scholar 

  • Baliki MN, Geha PY, Apkarian AV, et al. Beyond feeling: chronic pain hurts the brain, disrupting the default-mode network dynamics. J Neurosci. 2008;28(6):1398–403.

    Article  CAS  PubMed  Google Scholar 

  • Barabasi A-L, Albert R. Emergence of scaling in random networks. Science. 1999;286(5439):509–12.

    Article  CAS  PubMed  Google Scholar 

  • Beijing S, Nanjing Colleges of Traditional Chinese Medicine. Essentials of Chinese acupuncture. Beijing: Foreign Language Press; 1980.

    Google Scholar 

  • Biella G, Sotgiu ML, Pellegata G, et al. Acupuncture produces central activations in pain regions. NeuroImage. 2001;14:60–6.

    Article  CAS  PubMed  Google Scholar 

  • Buchel C, Friston KJ. Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modeling and fMRI. Cereb Cortex. 1997;7(8):768–78.

    Article  CAS  PubMed  Google Scholar 

  • Buckner RL, Sepulcre J, Talukdar T, et al. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease. J Neurosci. 2009;29(6):1860–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009;10(3):186–19.

    Article  CAS  PubMed  Google Scholar 

  • Casey KL. Forebrain mechanisms of nociception and pain: analysis through imaging. Proc Natl Acad Sci U S A. 1999;96:7668–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Cho ZH, Chung SC, Jones JP, et al. New findings of the correlation between acupoints and corresponding brain cortices using functional MRI. Proc Natl Acad Sci U S A. 1998;95(5):2670–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Clement JV, McLoughlin L, Tomlin S, et al. Increased beta-endorphin but not met-enkephalin levels in human cerebrospinal fluid after acupuncture for recurrent pain. Lancet. 1980;2(8201):946–9.

    Article  Google Scholar 

  • Cox DD, Savoy RL. Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex. NeuroImage. 2003;19(2):261–70.

    Article  PubMed  Google Scholar 

  • Dai R, Han J, Shi X, et al. Modern acupunctomics: Zhejiang Science and Technology Publisher; 2013.

    Google Scholar 

  • Davis KD, Taylor SJ, Crawley AP, et al. Functional MRI of pain- and attention-related activations in the human cingulate cortex. J Neurophysiol. 1997;77:3370–80.

    CAS  PubMed  Google Scholar 

  • Derbyshire SW, Jones AK, Gyulai F, et al. Pain processing during three levels of noxious stimulation produces differential patterns of central activity. Pain. 1997;73:431–45.

    Article  CAS  PubMed  Google Scholar 

  • Dhond RP, Witzel T, Yeh C et al. Spatiotemporal mapping the neural correlates of acupuncture. 13th Annual Organization for Human Brain Mapping Conference; 2007; Chicago.

    Google Scholar 

  • Dhond RP, Yeh C, Park K. Acupuncture modulates resting state connectivity in default and sensorimotor brain networks. Pain. 2008;136:407–18.

    Article  PubMed  PubMed Central  Google Scholar 

  • Dodds PS, Muhamad R, Watts DJ. An experimental study of search in global social networks. Science. 2003;301(5634):827–9.

    Article  CAS  PubMed  Google Scholar 

  • Fair DA, Dosenbach NU, Church JA, et al. Development of distinct control networks through segregation and integration. Proc Natl Acad Sci U S A. 2007;104(33):13507–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Fair DA, Cohen AL, Dosenbach NU, et al. The maturing architecture of the brain’s default network. Proc Natl Acad Sci U S A. 2008;105(10):4028–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Fair DA, Cohen AL, Power JD, et al. Functional brain networks develop from a “Local to Distributed” organization. PLoS Comput Biol. 2009;5(5):e1000381.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Fields HL, Basbaum AI. Central nervous system mechanisms of pain modulation. In: Wall PD, Melzack R, editors. Textbook of pain. Edinburgh: Churchill Livingstone; 1999. p. 309–29.

    Google Scholar 

  • Fields HL, Heinricher MM, Mason P. Neurotransmitters in nociceptive modulatory circuits. Annu Rev Neurosci. 1991;14:219–45.

    Article  CAS  PubMed  Google Scholar 

  • Friston KJ. Functional and effective connectivity in neuroimaging: a synthesis. Hum Brain Mapp. 1994;2:56–78.

    Article  Google Scholar 

  • Friston KJ, Frith CD, Fiddle PF, et al. Functional connectivity: the principal component analysis of large (PET) data sets. J Cereb Blood Flow Metab. 1993a;13(1):5–14.

    Article  CAS  PubMed  Google Scholar 

  • Friston KJ, Frith CD, Frackowiak RS. Time-dependent changes in effective connectivity measured with PET. Hum Brain Mapp. 1993b;1:69–80.

    Article  Google Scholar 

  • Friston KJ, Jezzard P, Turner R. Analysis of functional MRI time-series. Hum Brain Mapp. 1994a;1:153–71.

    Article  Google Scholar 

  • Gareus I, Lacour M, Schulte AC, et al. Is there a bold response of the visual cortex on stimulation of the vision-related acupoint GB 37? J Magn Reson Imaging. 2002;15(3):227–32.

    Article  PubMed  Google Scholar 

  • Guo HF, Tian J, Wang X, et al. Brain substrates activated by electroacupuncture (ea) of different frequencies (ii): role of fos/jun proteins in EA-induced transcription of preproenkephalin and preprodynorphin genes. Brain Res Mol Brain Res. 1996;43(1–2):167–73.

    Article  CAS  PubMed  Google Scholar 

  • Haker E, Egekvist H, Bjerring P. Effect of sensory stimulation (acupuncture) on sympathetic and parasympathetic activities in healthy subjects. J Auton Nerv Syst. 2000;79:52–9.

    Article  CAS  PubMed  Google Scholar 

  • Hampson M, Tokoglu F, Sun Z, et al. Connectivity–behavior analysis reveals that functional connectivity between left BA39 and Broca’s area varies with reading ability. NeuroImage. 2006;31:513–9.

    Article  PubMed  Google Scholar 

  • Han JS. Acupuncture: neuropeptide release produced by electrical stimulation of different frequencies. Trends Neurosci. 2004;26:17–22.

    Article  CAS  Google Scholar 

  • Haws CM, Williamson AM, Fields HL. Putative nociceptive modulatory neurons in the dorsolateral pontomesencephalic reticular formation. Brain Res. 1989;483:272–82.

    Article  CAS  PubMed  Google Scholar 

  • He Y, Chen Z, Evans A. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer’s disease. J Neurosci. 2008;28(18):4756–66.

    Article  CAS  PubMed  Google Scholar 

  • Hellwig B. A quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex. Biol Cybern. 2000;82(2):111–21.

    Article  CAS  PubMed  Google Scholar 

  • Hofbauer RK, Rainville P, Duncan GH, et al. Cortical representation of the sensory dimension of pain. J Neurophysiol. 2001;86:402–11.

    CAS  PubMed  Google Scholar 

  • Hoffman GA, Harrington A, Fields HL. Pain and the placebo: what we have learned. Perspect Biol Med. 2005;48:248–65.

    Article  PubMed  Google Scholar 

  • Hsu CC, Weng CS, Sun MF, et al. Evaluation of scalp and auricular acupuncture on EEG, HRV, and PRV. Am J Chin Med. 2007;35:219–30.

    Article  PubMed  Google Scholar 

  • Hui KK, Liu J, Makris N. Acupuncture modulates the limbic system and subcortical gray structures of the human brain: evidence from fMRI studies in normal subjects. Hum Brain Mapp. 2000;9:13–25.

    Article  CAS  PubMed  Google Scholar 

  • Hui KK, Liu J, Marina O, et al. The integrated response of the human cerebro-cerebellar and limbic systems to acupuncture stimulation at ST 36 as evidenced by fMRI. NeuroImage. 2005;27:479–96.

    Article  PubMed  Google Scholar 

  • Jeanette E, Brian B, Victoria AH, et al. Is acupuncture effective for the treatment of chronic pain? A systematic review. Pain. 2000;86:217–25.

    Article  Google Scholar 

  • Kamitani Y, Tong F. Decoding the visual and subjective contents of the human brain. Nat Neurosci. 2005;8(5):679–85.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kaptchuk TJ. Acupuncture: theory, efficacy, and practice. Ann Intern Med. 2002;136:374–83.

    Article  PubMed  Google Scholar 

  • Kong J, Ma L, Gollub RL, et al. A pilot study of functional magnetic resonance imaging of the brain during manual and electroacupuncture stimulation of acupuncture point (li-4 hegu) in normal subjects reveals differential brain activation between methods. J Altern Complement Med. 2002;8(7412):522–6.

    Google Scholar 

  • Kong J, Randy LG, Webb JM, et al. Test-retest study of fMRI signal change evoked by electroacupuncture stimulation. NeuroImage. 2007;34:1171–81.

    Article  PubMed  Google Scholar 

  • Kong J, Kaptchuk TJ, Webb JM, et al. Functional neuroanatomical investigation of vision-related acupuncture point specificity-a multisession fMRI study. Hum Brain Mapp. 2009;30(1):38–46.

    Article  PubMed  PubMed Central  Google Scholar 

  • Korte C, Milgram S. Acquaintance networks between racial groups: application of small-world method. J Pers Soc Psychol. 1970;15(2):101–8.

    Article  Google Scholar 

  • Kotter R. Neuroscience databases: tools for exploring brain structure-function relationships. Philos Trans R Soc Lond Ser B Biol Sci. 2001;356(1412):1111–20.

    Article  CAS  Google Scholar 

  • Latora V, Marchiori M. Efficient behavior of small-world networks. Phys Rev Lett. 2001;87(19):198701.

    Article  CAS  PubMed  Google Scholar 

  • Latora V, Marchiori M. Economic small-world behavior in weighted networks. Eur Phys J B. 2003;32(2):249–63.

    Article  CAS  Google Scholar 

  • Le BD, Villanueva L, Willer J. Diffuse noxious inhibitory controls (DNIC) in animals and man. Acupunct Med. 1991;9:47–56.

    Article  Google Scholar 

  • Lindquist MA, Waugh C, Wager TD. Modeling state-related fMRI activity using change point theory. NeuroImage. 2007;35(3):1125–41.

    Article  PubMed  Google Scholar 

  • Liu WC, Feldman SC, Cook DB, et al. fMRI study of acupuncture-induced periaqueductal gray activity in humans. Neuroreport. 2004;15:1937–40.

    Article  PubMed  Google Scholar 

  • Liu Y, Liang M, Zhou Y, et al. Disrupted small-world networks in schizophrenia. Brain. 2008;131(4):945–61.

    Article  PubMed  Google Scholar 

  • Liu JX, Liang JM, Qin W, et al. Dysfunctional connectivity patterns in chronic heroin users: an fMRI study. Neurosci Lett. 2009;460(1):72–7.

    Article  CAS  PubMed  Google Scholar 

  • Liu J, Qin W, Guo Q. Distinct brain networks for time-varied characteristics of acupuncture. Neurosci Lett. 2010;468(3):353–8.

    Article  CAS  PubMed  Google Scholar 

  • Lowe MJ, Mock BJ, Sorenson JA. Functional connectivity in single and multislice echo-planar imaging using resting-state fluctuations. NeuroImage. 1998;7(2):119–32.

    Article  CAS  PubMed  Google Scholar 

  • MacPherson H, White A, Cummings M, et al. Standards for reporting interventions in controlled trials of acupuncture: the STRICTA recommendations. J Altern Complement Med. 2002;8(1):85–9.

    Article  PubMed  Google Scholar 

  • Mann F. Reinventing acupuncture: a new concept of ancient medicine. Great Britain: Biddles Ltd.; 1992.

    Google Scholar 

  • McKeown MJ, Makeig S, Brown GG, et al. Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp. 1998;6(3):160–88.

    Article  CAS  PubMed  Google Scholar 

  • Mclntosh AR, Gonzalez-Lima F. Structural equation modeling and its application to network analysis in functional brain imaging. Hum Brain Mapp. 1994;2(1–2):2–22.

    Article  Google Scholar 

  • Mechelli A, Price CJ, Noppeney U, et al. A dynamic causal modeling study on category effects: bottom-up or top-down mediation? J Cogn Neurosci. 2003;15(7):925–34.

    Article  PubMed  Google Scholar 

  • Milgram S. Small-world problem. Psychol Today. 1967;1(1):61–7.

    Google Scholar 

  • Millan MJ. Descending control of pain. Prog Neurobiol. 2002;66:355–474.

    Article  CAS  PubMed  Google Scholar 

  • Mitchell TM, Hutchinson R, Niculescu RS, et al. Learning to decode cognitive states from brain images. Mach Learn. 2004;57(1–2):145–75.

    Article  Google Scholar 

  • Napadow V, Makris N, Liu J, et al. Effects of electroacupuncture versus manual acupuncture on the human brain as measured by fMRI. Hum Brain Mapp. 2005;24(3):193–205.

    Article  PubMed  Google Scholar 

  • Napadow V, Liu J, Li M, et al. Somatosensory cortical plasticity in carpal tunnel syndrome treated by acupuncture. Hum Brain Mapp. 2007;30:38–46.

    Google Scholar 

  • Napadow V, Dhond RP, Kim J, et al. Brain encoding of acupuncture sensation-coupling on-line rating with fMRI. NeuroImage. 2009a;47(3):1055–65.

    Article  PubMed  PubMed Central  Google Scholar 

  • Napadow V, Dhond R, Park K, et al. Time-variant fMRI activity in the brainstem and higher structures in response to acupuncture. NeuroImage. 2009b;47(1):289–301.

    Article  PubMed  PubMed Central  Google Scholar 

  • Newman ME. The structure and function of complex networks. SIAM Rev. 2003;45:167–256.

    Article  Google Scholar 

  • Norman KA, Polyn SM, Detre GJ, et al. Beyond mind-reading: multi-voxel pattern analysis of functional magnetic resonance imaging data. Trends Cogn Sci. 2006;10(9):424–30.

    Article  PubMed  Google Scholar 

  • Oosterhof NN, Wiestler T, Downing PE, et al. A comparison of volume-based and surface-based multi-voxel pattern analysis. Neuroimage. 2011;56(2):593–600.

    Google Scholar 

  • Pariente J, White P, Frackowiak RS, et al. Expectancy and belief modulate the neuronal substrates of pain treated by acupuncture. NeuroImage. 2005;25(4):1161–7.

    Article  PubMed  Google Scholar 

  • Pastor-Satorras R, Vespignani A. Evolution and structure of the internet: a statistical physics approach. Cambridge: Cambridge University Press; 2004.

    Book  Google Scholar 

  • Peets JM, Pomeranz B. CXBK mice deficient in opiate receptors show poor electroacupuncture analgesia. Nature. 1978;273:675–6.

    Article  CAS  PubMed  Google Scholar 

  • Pomeranz B. Acupuncture analgesia: basic research. In: Stux G, Hammerschlag R, editors. Clinical acupuncture: scientific basis. Berlin: Springer; 2001. p. 1–28.

    Google Scholar 

  • Porreca F, Ossipov MH, Gebhart GF. Chronic pain and medullary descending facilitation. Trends Neurosci. 2002;25:319–25.

    Article  CAS  PubMed  Google Scholar 

  • Price DD, Rafii A, Watkins LR. A psychophysical analysis of acupuncture analgesia. Pain. 1984;19:27–42.

    Article  CAS  PubMed  Google Scholar 

  • Qin W, Tian J, Bai L. fMRI connectivity analysis of acupuncture effects on an amygdala associated brain network. Mol Pain. 2008;4:55.

    Article  PubMed  PubMed Central  Google Scholar 

  • Qin W, Bai L, Dai J. The temporal-spatial encoding of acupuncture effects in the brain. Mol Pain. 2011;7:19.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rainville P, Duncan GH, Price DD, et al. Pain affect encoded in human anterior cingulate but not somatosensory cortex. Science. 1997;277:968–71.

    Article  CAS  PubMed  Google Scholar 

  • Rainville P, Hofbauer RK, Paus T, et al. Cerebral mechanisms of hypnotic induction and suggestion. J Cogn Neurosci. 1999;11:110–25.

    Article  CAS  PubMed  Google Scholar 

  • Reijneveld JC, Ponten SC, Berendse HW, et al. The application of graph theoretical analysis to complex networks in the brain. Clin Neurophysiol. 2007;118(11):2317–31.

    Article  PubMed  Google Scholar 

  • Sakai S, Hori E, Umeno K, et al. Specific acupuncture sensation correlates with EEGs and autonomic changes in human subjects. Auton Neurosci. 2007;133:158–69.

    Article  PubMed  Google Scholar 

  • Salvador R, Suckling J, Coleman MR, et al. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex. 2005;15(9):1332–42.

    Article  PubMed  Google Scholar 

  • Siedentopf CM, Golaszewski SM, Mottaghy FM, et al. Functional magnetic resonance imaging detects activation of the visual association cortex during laser acupuncture of the foot in humans. Neurosci Lett. 2002;327(1):53–6.

    Article  CAS  PubMed  Google Scholar 

  • Smith SM, Beckmann CF, Ramnani N, et al. Variability in fMRI: a re-examination of inter-session differences. Hum Brain Mapp. 2005;24:248–57.

    Article  PubMed  Google Scholar 

  • Sporns O, Tononi G, Edelman GM. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb Cortex. 2000;10(2):127–41.

    Article  CAS  PubMed  Google Scholar 

  • Stanley HE. Introduction to phase transitions and critical phenomena. New York: Oxford University Press; 1971.

    Google Scholar 

  • Streitberger K, Kleinhenz J. Introducing a placebo needle into acupuncture research. Lancet. 1998;352:364–5.

    Article  CAS  PubMed  Google Scholar 

  • Supekar K, Menon V, Rubin D, et al. Network analysis of intrinsic functional brain connectivity in Alzheimer’s disease. PLoS Comput Biol. 2008;4(6):e1000100.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Takeda W, Wessel J. Acupuncture for the treatment of pain of osteoarthritic knees. Arthritis Care Res. 1994;7(3):118–22.

    Article  CAS  PubMed  Google Scholar 

  • Tortorici V, Vanegas H. Putative role of medullary off- and on-cells in the antinociception produced by dipyrone (metamizol) administered systemically or microinjected into PAG. Pain. 1994;57:197–205.

    Article  CAS  PubMed  Google Scholar 

  • Travers J, Milgram S. Experimental study of small-world problem. Sociometry. 1969;32(4):425–43.

    Article  Google Scholar 

  • Urban MO, Gebhart GF. Supraspinal contributions to hyperalgesia. Proc Nat Acad Sci U S A. 1999;96:7687–92.

    Article  CAS  Google Scholar 

  • van den Heuvel MP, Stam CJ, Boersma M, et al. Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain. NeuroImage. 2008;43(3):528–39.

    Article  PubMed  Google Scholar 

  • Wager TD, Vazquez A, Hernandez L. Accounting for nonlinear BOLD effects in fMRI: parameter estimates and a model for prediction in rapid event-related studies. NeuroImage. 2005;25(1):206–18.

    Article  PubMed  Google Scholar 

  • Wang L, Zhu CZ, He Y, et al. Altered small-world brain functional networks in children with attention-deficit/hyperactivity disorder. Hum Brain Mapp. 2009;30(2):638–49.

    Article  CAS  PubMed  Google Scholar 

  • Wang L, Li Y, Metzak P, et al. Age-related changes in topological patterns of large-scale brain functional networks during memory encoding and recognition. NeuroImage. 2010;50(3):862–72.

    Article  PubMed  Google Scholar 

  • Watts DJ. Small worlds: the dynamics of networks between order and randomness. Princeton: Princeton University Press; 1999.

    Google Scholar 

  • Watts DJ, Strogatz SH. Collective dynamics of ‘small-world’ networks. Nature. 1998;393(6684):440–2.

    Article  CAS  PubMed  Google Scholar 

  • White A, Foster NE, Cummings M, et al. Acupuncture treatment for chronic knee pain: a systematic review. Rheumatology. 2007;46:384–90.

    Article  CAS  PubMed  Google Scholar 

  • Witt C, Brinkhaus B, Jena S, et al. Acupuncture in patients with osteoarthritis of the knee: a randomised trial. Lancet. 2005;366:136–43.

    Article  CAS  PubMed  Google Scholar 

  • Worsley KJ, Friston KJ. Analysis of fMRI time-series revisited again. NeuroImage. 1995;2(3):173–81.

    Article  CAS  PubMed  Google Scholar 

  • Wu MT, Hsieh JC, Xiong J, et al. Central nervous pathway for acupuncture stimulation: localization of processing with functional MR imaging of the brain—preliminary experience. Radiology. 1999;212:133–41.

    Article  CAS  PubMed  Google Scholar 

  • Wu MT, Sheen JM, Chuang KH, et al. Neuronal specificity of acupuncture response: a fMRI study with electroacupuncture. NeuroImage. 2002;16:1028–37.

    Article  PubMed  Google Scholar 

  • Xing GG, Liu FY, XX Q, et al. Long-term synaptic plasticity in the spinal dorsal horn and its modulation by electroacupuncture in rats with neuropathic pain. J Pharmacol Exp Ther. 2007;321:1046–53.

    Article  PubMed  CAS  Google Scholar 

  • Yan B, Li K, Xu J, et al. Acupoint-specific fMRI patterns in human brain. Neurosci Lett. 2005;383(3):236–40.

    Article  CAS  PubMed  Google Scholar 

  • Yoo SS, Teh EK, Blinder RA, et al. Modulation of cerebellar activities by acupuncture stimulation: evidence from fMRI study. NeuroImage. 2004;22:932–40.

    Article  PubMed  Google Scholar 

  • Zhang WT, Jin Z, Cui GH, et al. Relations between brain network activation and analgesic effect induced by low vs. high frequency electrical acupoint stimulation in different subjects: a functional magnetic resonance imaging study. Brain Res. 2003;982:168–78.

    Article  CAS  PubMed  Google Scholar 

  • Zhang Y, Qin W, Liu P, et al. An fMRI study of acupuncture using independent component analysis. Neurosci Lett. 2009;449(1):6–9.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jie Tian .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this chapter

Cite this chapter

Bai, L., Tian, J. (2018). Temporospatial Encoding of Acupuncture Effects in the Brain. In: Tian, J. (eds) Multi-Modality Neuroimaging Study on Neurobiological Mechanisms of Acupuncture. Springer, Singapore. https://doi.org/10.1007/978-981-10-4914-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-4914-9_2

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4913-2

  • Online ISBN: 978-981-10-4914-9

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics