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Published in: Molecular Pain 1/2011

Open Access 01-12-2011 | Research

The temporal-spatial encoding of acupuncture effects in the brain

Authors: Wei Qin, Lijun Bai, Jianping Dai, Peng Liu, Minghao Dong, Jixin Liu, Jinbo Sun, Kai Yuan, Peng Chen, Baixiao Zhao, Qiyong Gong, Jie Tian, Yijun Liu

Published in: Molecular Pain | Issue 1/2011

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Abstract

Background

Functional acupoint specificity is crucial to the clinical efficacy of acupuncture treatment, such as pain relief. Whether acupuncture needling at a peripheral acupoint produces distinct patterns of brain responses remains controversial.

Results

This fMRI study employed the complex network analysis (CNA) to test the hypothesis that acupuncture stimulation at an acupoint correspondingly induced activity changes in one or more intrinsic or resting-state brain networks. Built upon the sustained effect of acupuncture and its time-varying characteristics, we constructed a dynamic encoding system with the hub anchored at the posterior cingulate cortex and precuneus (PCC/pC). We found that needling at two visual acupoints (GB37 and BL60) and a non-visual acupoint (KI8) induced a spatially converging brain response, which overlapped at the PCC/pC. We also found distinct neural modulations during and after acupoint stimulation. During this period, the PCC/pC interacted with a visual resting-state network in different patterns. Furthermore, there was a delayed functional correspondence between the intrinsic visual network and manipulation over the visual acupoints (i.e., GB37 or BL60), but not the non-visual acupoint (KI8) via the PCC/pC, implicating a specific temporal-spatial encoding/decoding mechanism underlying the post-effect of acupuncture.

Conclusions

This study provided an integrated view exploring the functional specificity of acupuncture in which both the needling sensation and the following neural cascades may contribute to the overall effect of acupuncture through dynamic reconfiguration of complex neural networks.
fMRI, acupoints, posterior cingulate cortex, precuneus, temporal-spatial encoding, resting-state networks
Appendix
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Literature
1.
go back to reference Acupuncture NIH: NIH consensus development panel on acupuncture. JAMA 1998, 280: 1518–1529. 10.1001/jama.280.17.1518CrossRef Acupuncture NIH: NIH consensus development panel on acupuncture. JAMA 1998, 280: 1518–1529. 10.1001/jama.280.17.1518CrossRef
2.
go back to reference Eisenberg DM, Kessler RC, Foster C, Norlock FE, Calkins DR, Delbanco TL: Unconventional medicine in the United States--prevalence, costs, and patterns of use. N Engl J Med 1993, 328: 246–252. 10.1056/NEJM199301283280406PubMedCrossRef Eisenberg DM, Kessler RC, Foster C, Norlock FE, Calkins DR, Delbanco TL: Unconventional medicine in the United States--prevalence, costs, and patterns of use. N Engl J Med 1993, 328: 246–252. 10.1056/NEJM199301283280406PubMedCrossRef
3.
go back to reference Eisenberg DM, Davis RB, Ettner SL, Appel S, Wilkey S, Van Rompay M, Kessler RC: Trends in alternative medicine use in the United States, 1990–1997: results of a follow-up national survey. JAMA 1998, 280: 1569–1575. 10.1001/jama.280.18.1569PubMedCrossRef Eisenberg DM, Davis RB, Ettner SL, Appel S, Wilkey S, Van Rompay M, Kessler RC: Trends in alternative medicine use in the United States, 1990–1997: results of a follow-up national survey. JAMA 1998, 280: 1569–1575. 10.1001/jama.280.18.1569PubMedCrossRef
4.
go back to reference Hughes E, Barrows K: Complementary and Alternative Medicine. In Current Medical Diagnosis and Treatment. Edited by: McPhee SJ. Papadakis MA; 2010. Hughes E, Barrows K: Complementary and Alternative Medicine. In Current Medical Diagnosis and Treatment. Edited by: McPhee SJ. Papadakis MA; 2010.
5.
go back to reference Ernst E: Acupuncture: What Does the Most Reliable Evidence Tell Us? Journal of pain and symptom management 2009, 37: 709–714. 10.1016/j.jpainsymman.2008.04.009PubMedCrossRef Ernst E: Acupuncture: What Does the Most Reliable Evidence Tell Us? Journal of pain and symptom management 2009, 37: 709–714. 10.1016/j.jpainsymman.2008.04.009PubMedCrossRef
6.
go back to reference Goldman N, Chen M, Fujita T, Xu Q, Peng W, Liu W, Jensen TK, Pei Y, Wang F, Han X: Adenosine A1 receptors mediate local anti-nociceptive effects of acupuncture. Nat Neurosci 2010, 13: 883–888. 10.1038/nn.2562PubMedCentralPubMedCrossRef Goldman N, Chen M, Fujita T, Xu Q, Peng W, Liu W, Jensen TK, Pei Y, Wang F, Han X: Adenosine A1 receptors mediate local anti-nociceptive effects of acupuncture. Nat Neurosci 2010, 13: 883–888. 10.1038/nn.2562PubMedCentralPubMedCrossRef
7.
go back to reference Bonica JJ: Acupuncture: Fertile ground for faddists and serious NIH research. Science 1972, 177: 592–594. 10.1126/science.177.4049.592CrossRef Bonica JJ: Acupuncture: Fertile ground for faddists and serious NIH research. Science 1972, 177: 592–594. 10.1126/science.177.4049.592CrossRef
8.
go back to reference Bai L, Qin W, Tian J, Liu P, Li LL, Chen P, Dai J, Craggs JG, von Deneen KM, Liu Y: Time-varied characteristics of acupuncture effects in fMRI studies. Hum Brain Mapp 2009, 30: 3445–3460. 10.1002/hbm.20769PubMedCrossRef Bai L, Qin W, Tian J, Liu P, Li LL, Chen P, Dai J, Craggs JG, von Deneen KM, Liu Y: Time-varied characteristics of acupuncture effects in fMRI studies. Hum Brain Mapp 2009, 30: 3445–3460. 10.1002/hbm.20769PubMedCrossRef
9.
go back to reference Hui KKS, Liu J, Marina O, Napadow V, Haselgrove C, Kwong KK, Kennedy DN, Makris N: The integrated response of the human cerebro-cerebellar and limbic systems to acupuncture stimulation at ST 36 as evidenced by fMRI. Neuroimage 2005, 27: 479–496. 10.1016/j.neuroimage.2005.04.037PubMedCrossRef Hui KKS, Liu J, Marina O, Napadow V, Haselgrove C, Kwong KK, Kennedy DN, Makris N: The integrated response of the human cerebro-cerebellar and limbic systems to acupuncture stimulation at ST 36 as evidenced by fMRI. Neuroimage 2005, 27: 479–496. 10.1016/j.neuroimage.2005.04.037PubMedCrossRef
10.
go back to reference Kong J, Kaptchuk TJ, Webb JM, Kong JT, Sasaki Y, Polich GR, Vangel MG, Kwong K, Rosen B, Gollub RL: Functional neuroanatomical investigation of vision-related acupuncture point specificity--a multisession fMRI study. Hum Brain Mapp 2009, 30: 38–46. 10.1002/hbm.20481PubMedCentralPubMedCrossRef Kong J, Kaptchuk TJ, Webb JM, Kong JT, Sasaki Y, Polich GR, Vangel MG, Kwong K, Rosen B, Gollub RL: Functional neuroanatomical investigation of vision-related acupuncture point specificity--a multisession fMRI study. Hum Brain Mapp 2009, 30: 38–46. 10.1002/hbm.20481PubMedCentralPubMedCrossRef
11.
go back to reference Qin W, Tian J, Bai L, Pan X, Yang L, Chen P, Dai J, Ai L, Zhao B, Gong Q: FMRI connectivity analysis of acupuncture effects on an amygdala-associated brain network. Mol Pain 2008, 4: 55. 10.1186/1744-8069-4-55PubMedCentralPubMedCrossRef Qin W, Tian J, Bai L, Pan X, Yang L, Chen P, Dai J, Ai L, Zhao B, Gong Q: FMRI connectivity analysis of acupuncture effects on an amygdala-associated brain network. Mol Pain 2008, 4: 55. 10.1186/1744-8069-4-55PubMedCentralPubMedCrossRef
12.
go back to reference Bai L, Qin W, Tian J, Dong M, Pan X, Chen P, Dai J, Yang W, Liu Y: Acupuncture modulates spontaneous activities in the anticorrelated resting brain networks. Brain Res 2009, 1279: 37–49. 10.1016/j.brainres.2009.04.056PubMedCrossRef Bai L, Qin W, Tian J, Dong M, Pan X, Chen P, Dai J, Yang W, Liu Y: Acupuncture modulates spontaneous activities in the anticorrelated resting brain networks. Brain Res 2009, 1279: 37–49. 10.1016/j.brainres.2009.04.056PubMedCrossRef
13.
go back to reference Cho ZH, Chung SC, Jones JP, Park JB, Park HJ, Lee HJ, Wong EK, Min BI: New findings of the correlation between acupoints and corresponding brain scortices using functional MRI. Proc Natl Acad Sci USA 1998, 95: 2670–2673. 10.1073/pnas.95.5.2670PubMedCentralPubMedCrossRef Cho ZH, Chung SC, Jones JP, Park JB, Park HJ, Lee HJ, Wong EK, Min BI: New findings of the correlation between acupoints and corresponding brain scortices using functional MRI. Proc Natl Acad Sci USA 1998, 95: 2670–2673. 10.1073/pnas.95.5.2670PubMedCentralPubMedCrossRef
14.
go back to reference Liu J, Qin W, Guo Q, Sun J, Yuan K, Liu P, Zhang Y, von Deneen KM, Liu Y, Tian J: Distinct brain networks for time-varied characteristics of acupuncture. Neurosci Lett 2010, 468: 353–358. 10.1016/j.neulet.2009.11.031PubMedCrossRef Liu J, Qin W, Guo Q, Sun J, Yuan K, Liu P, Zhang Y, von Deneen KM, Liu Y, Tian J: Distinct brain networks for time-varied characteristics of acupuncture. Neurosci Lett 2010, 468: 353–358. 10.1016/j.neulet.2009.11.031PubMedCrossRef
15.
go back to reference Liu P, Qin W, Zhang Y, Tian J, Bai L, Zhou G, Liu J, Chen P, Dai J, von Deneen KM: Combining spatial and temporal information to explore function-guide action of acupuncture using fMRI. J Magn Reson Imaging 2009, 30: 41–46. 10.1002/jmri.21805PubMedCrossRef Liu P, Qin W, Zhang Y, Tian J, Bai L, Zhou G, Liu J, Chen P, Dai J, von Deneen KM: Combining spatial and temporal information to explore function-guide action of acupuncture using fMRI. J Magn Reson Imaging 2009, 30: 41–46. 10.1002/jmri.21805PubMedCrossRef
16.
go back to reference Liu P, Zhang Y, Zhou G, Yuan K, Qin W, Zhuo L, Liang J, Chen P, Dai J, Liu Y: Partial correlation investigation on the default mode network involved in acupuncture: An fMRI study. Neurosci Lett 2009, 462: 183–187. 10.1016/j.neulet.2009.07.015PubMedCrossRef Liu P, Zhang Y, Zhou G, Yuan K, Qin W, Zhuo L, Liang J, Chen P, Dai J, Liu Y: Partial correlation investigation on the default mode network involved in acupuncture: An fMRI study. Neurosci Lett 2009, 462: 183–187. 10.1016/j.neulet.2009.07.015PubMedCrossRef
17.
go back to reference Zhang Y, Liang J, Qin W, Liu P, von Deneen KM, Chen P, Bai L, Tian J, Liu Y: Comparison of visual cortical activations induced by electro-acupuncture at vision and nonvision-related acupoints. Neurosci Lett 2009, 458: 6–10. 10.1016/j.neulet.2009.04.027PubMedCrossRef Zhang Y, Liang J, Qin W, Liu P, von Deneen KM, Chen P, Bai L, Tian J, Liu Y: Comparison of visual cortical activations induced by electro-acupuncture at vision and nonvision-related acupoints. Neurosci Lett 2009, 458: 6–10. 10.1016/j.neulet.2009.04.027PubMedCrossRef
18.
go back to reference Zhang Y, Qin W, Liu P, Tian J, Liang J, von Deneen KM, Liu Y: An fMRI study of acupuncture using independent component analysis. Neurosci Lett 2008, 449: 6–9. 10.1016/j.neulet.2008.10.071PubMedCrossRef Zhang Y, Qin W, Liu P, Tian J, Liang J, von Deneen KM, Liu Y: An fMRI study of acupuncture using independent component analysis. Neurosci Lett 2008, 449: 6–9. 10.1016/j.neulet.2008.10.071PubMedCrossRef
19.
go back to reference Melchart D, Streng A, Hoppe A, Brinkhaus B, Witt C, Wagenpfeil S, Pfaffenrath V, Hammes M, Hummelsberger J, Irnich D: Acupuncture in patients with tension-type headache: randomised controlled trial. BMJ 2005, 331: 376–382. 10.1136/bmj.38512.405440.8FPubMedCentralPubMedCrossRef Melchart D, Streng A, Hoppe A, Brinkhaus B, Witt C, Wagenpfeil S, Pfaffenrath V, Hammes M, Hummelsberger J, Irnich D: Acupuncture in patients with tension-type headache: randomised controlled trial. BMJ 2005, 331: 376–382. 10.1136/bmj.38512.405440.8FPubMedCentralPubMedCrossRef
20.
go back to reference Brinkhaus B, Witt CM, Jena S, Linde K, Streng A, Wagenpfeil S, Irnich D, Walther HU, Melchart D, Willich SN: Acupuncture in patients with chronic low back pain: a randomized controlled trial. Arch Intern Med 2006, 166: 450–457. 10.1001/.450PubMed Brinkhaus B, Witt CM, Jena S, Linde K, Streng A, Wagenpfeil S, Irnich D, Walther HU, Melchart D, Willich SN: Acupuncture in patients with chronic low back pain: a randomized controlled trial. Arch Intern Med 2006, 166: 450–457. 10.1001/.450PubMed
21.
go back to reference Linde K, Streng A, Jurgens S, Hoppe A, Brinkhaus B, Witt C, Wagenpfeil S, Pfaffenrath V, Hammes MG, Weidenhammer W: Acupuncture for patients with migraine: a randomized controlled trial. JAMA 2005, 293: 2118–2125. 10.1001/jama.293.17.2118PubMedCrossRef Linde K, Streng A, Jurgens S, Hoppe A, Brinkhaus B, Witt C, Wagenpfeil S, Pfaffenrath V, Hammes MG, Weidenhammer W: Acupuncture for patients with migraine: a randomized controlled trial. JAMA 2005, 293: 2118–2125. 10.1001/jama.293.17.2118PubMedCrossRef
22.
go back to reference Siedentopf CM, Golaszewski SM, Mottaghy FM, Ruff CC, Felber S, Schlager A: Functional magnetic resonance imaging detects activation of the visual association cortex during laser acupuncture of the foot in humans. Neuroscience Letters 2002, 327: 53–56. 10.1016/S0304-3940(02)00383-XPubMedCrossRef Siedentopf CM, Golaszewski SM, Mottaghy FM, Ruff CC, Felber S, Schlager A: Functional magnetic resonance imaging detects activation of the visual association cortex during laser acupuncture of the foot in humans. Neuroscience Letters 2002, 327: 53–56. 10.1016/S0304-3940(02)00383-XPubMedCrossRef
23.
go back to reference Litscher G, Rachbauer D, Ropele S, Wang L, Schikora D, Fazekas F, Ebner F: Acupuncture using laser needles modulates brain function: first evidence from functional transcranial Doppler sonography and functional magnetic resonance imaging. Lasers Med Sci 2004, 19: 6–11. 10.1007/s10103-004-0291-0PubMedCrossRef Litscher G, Rachbauer D, Ropele S, Wang L, Schikora D, Fazekas F, Ebner F: Acupuncture using laser needles modulates brain function: first evidence from functional transcranial Doppler sonography and functional magnetic resonance imaging. Lasers Med Sci 2004, 19: 6–11. 10.1007/s10103-004-0291-0PubMedCrossRef
24.
go back to reference Gareus IK, Lacour M, Schulte AC, Hennig J: Is there a BOLD response of the visual cortex on stimulation of the vision-related acupoint GB 37? J Magn Reson Imaging 2002, 15: 227–232. 10.1002/jmri.10059PubMedCrossRef Gareus IK, Lacour M, Schulte AC, Hennig J: Is there a BOLD response of the visual cortex on stimulation of the vision-related acupoint GB 37? J Magn Reson Imaging 2002, 15: 227–232. 10.1002/jmri.10059PubMedCrossRef
25.
go back to reference Cho ZH, Chung SC, Lee HJ, Wong EK, Min BI: Retraction. New findings of the correlation between acupoints and corresponding brain cortices using functional MRI. Proc Natl Acad Sci USA 2006, 103: 10527.PubMed Cho ZH, Chung SC, Lee HJ, Wong EK, Min BI: Retraction. New findings of the correlation between acupoints and corresponding brain cortices using functional MRI. Proc Natl Acad Sci USA 2006, 103: 10527.PubMed
26.
go back to reference Harris RE, Zubieta JK, Scott DJ, Napadow V, Gracely RH, Clauw DJ: Traditional Chinese acupuncture and placebo (sham) acupuncture are differentiated by their effects on [mu]-opioid receptors (MORs). Neuroimage 2009, 47: 1077–1085. 10.1016/j.neuroimage.2009.05.083PubMedCentralPubMedCrossRef Harris RE, Zubieta JK, Scott DJ, Napadow V, Gracely RH, Clauw DJ: Traditional Chinese acupuncture and placebo (sham) acupuncture are differentiated by their effects on [mu]-opioid receptors (MORs). Neuroimage 2009, 47: 1077–1085. 10.1016/j.neuroimage.2009.05.083PubMedCentralPubMedCrossRef
27.
go back to reference Dhond RP, Yeh C, Park K, Kettner N, Napadow V: Acupuncture modulates resting state connectivity in default and sensorimotor brain networks. Pain 2008, 136: 407–418. 10.1016/j.pain.2008.01.011PubMedCentralPubMedCrossRef Dhond RP, Yeh C, Park K, Kettner N, Napadow V: Acupuncture modulates resting state connectivity in default and sensorimotor brain networks. Pain 2008, 136: 407–418. 10.1016/j.pain.2008.01.011PubMedCentralPubMedCrossRef
28.
go back to reference Price DD, Rafii A, Watkins LR, Buckingham B: A psychophysical analysis of acupuncture analgesia. Pain 1984, 19: 27–42. 10.1016/0304-3959(84)90062-9PubMedCrossRef Price DD, Rafii A, Watkins LR, Buckingham B: A psychophysical analysis of acupuncture analgesia. Pain 1984, 19: 27–42. 10.1016/0304-3959(84)90062-9PubMedCrossRef
29.
go back to reference Zhao ZQ: Neural mechanism underlying acupuncture analgesia. Prog Neurobiol 2008, 85: 355–375. 10.1016/j.pneurobio.2008.05.004PubMedCrossRef Zhao ZQ: Neural mechanism underlying acupuncture analgesia. Prog Neurobiol 2008, 85: 355–375. 10.1016/j.pneurobio.2008.05.004PubMedCrossRef
30.
go back to reference Han JS: Acupuncture and endorphins. Neurosci Lett 2004, 361: 258–261. 10.1016/j.neulet.2003.12.019PubMedCrossRef Han JS: Acupuncture and endorphins. Neurosci Lett 2004, 361: 258–261. 10.1016/j.neulet.2003.12.019PubMedCrossRef
31.
go back to reference Napadow V, Dhond RP, Kim J, LaCount L, Vangel M, Harris RE, Kettner N, Park K: Brain encoding of acupuncture sensation--Coupling on-line rating with fMRI. NeuroImage 2009, 47: 1055–1065. 10.1016/j.neuroimage.2009.05.079PubMedCentralPubMedCrossRef Napadow V, Dhond RP, Kim J, LaCount L, Vangel M, Harris RE, Kettner N, Park K: Brain encoding of acupuncture sensation--Coupling on-line rating with fMRI. NeuroImage 2009, 47: 1055–1065. 10.1016/j.neuroimage.2009.05.079PubMedCentralPubMedCrossRef
32.
go back to reference Fox MD, Raichle ME: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 2007, 8: 700–711. 10.1038/nrn2201PubMedCrossRef Fox MD, Raichle ME: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 2007, 8: 700–711. 10.1038/nrn2201PubMedCrossRef
33.
go back to reference Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME: The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA 2005, 102: 9673–9678. 10.1073/pnas.0504136102PubMedCentralPubMedCrossRef Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME: The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA 2005, 102: 9673–9678. 10.1073/pnas.0504136102PubMedCentralPubMedCrossRef
34.
go back to reference Fransson P: Spontaneous low-frequency BOLD signal fluctuations: an fMRI investigation of the resting-state default mode of brain function hypothesis. Hum Brain Mapp 2005, 26: 15–29. 10.1002/hbm.20113PubMedCrossRef Fransson P: Spontaneous low-frequency BOLD signal fluctuations: an fMRI investigation of the resting-state default mode of brain function hypothesis. Hum Brain Mapp 2005, 26: 15–29. 10.1002/hbm.20113PubMedCrossRef
35.
go back to reference Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E: A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci 2006, 26: 63–72. 10.1523/JNEUROSCI.3874-05.2006PubMedCrossRef Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E: A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci 2006, 26: 63–72. 10.1523/JNEUROSCI.3874-05.2006PubMedCrossRef
36.
go back to reference Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, Bullmore E: Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex 2005, 15: 1332–1342. 10.1093/cercor/bhi016PubMedCrossRef Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, Bullmore E: Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex 2005, 15: 1332–1342. 10.1093/cercor/bhi016PubMedCrossRef
37.
go back to reference Fair DA, Cohen AL, Power JD, Dosenbach NUF, Church JA, Miezin FM, Schlaggar BL, Petersen SE: Functional brain networks develop from a "local to distributed" organization. PLoS Comput Biol 2009, 5: e1000381. 10.1371/journal.pcbi.1000381PubMedCentralPubMedCrossRef Fair DA, Cohen AL, Power JD, Dosenbach NUF, Church JA, Miezin FM, Schlaggar BL, Petersen SE: Functional brain networks develop from a "local to distributed" organization. PLoS Comput Biol 2009, 5: e1000381. 10.1371/journal.pcbi.1000381PubMedCentralPubMedCrossRef
38.
go back to reference Fair DA, Dosenbach NUF, Church JA, Cohen AL, Brahmbhatt S, Miezin FM, Barch DM, Raichle ME, Petersen SE, Schlaggar BL: Development of distinct control networks through segregation and integration. Proc Natl Acad Sci USA 2007, 104: 13507–13512. 10.1073/pnas.0705843104PubMedCentralPubMedCrossRef Fair DA, Dosenbach NUF, Church JA, Cohen AL, Brahmbhatt S, Miezin FM, Barch DM, Raichle ME, Petersen SE, Schlaggar BL: Development of distinct control networks through segregation and integration. Proc Natl Acad Sci USA 2007, 104: 13507–13512. 10.1073/pnas.0705843104PubMedCentralPubMedCrossRef
39.
go back to reference Dosenbach NUF, Fair DA, Miezin FM, Cohen AL, Wenger KK, Dosenbach RAT, Fox MD, Snyder AZ, Vincent JL, Raichle ME: Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci USA 2007, 104: 11073–11078. 10.1073/pnas.0704320104PubMedCentralPubMedCrossRef Dosenbach NUF, Fair DA, Miezin FM, Cohen AL, Wenger KK, Dosenbach RAT, Fox MD, Snyder AZ, Vincent JL, Raichle ME: Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci USA 2007, 104: 11073–11078. 10.1073/pnas.0704320104PubMedCentralPubMedCrossRef
40.
go back to reference Kong J, Gollub R, Huang T, Polich G, Napadow V, Hui K, Vangel M, Rosen B, Kaptchuk TJ: Acupuncture de qi, from qualitative history to quantitative measurement. J Altern Complement Med 2007, 13: 1059–1070. 10.1089/acm.2007.0524PubMedCrossRef Kong J, Gollub R, Huang T, Polich G, Napadow V, Hui K, Vangel M, Rosen B, Kaptchuk TJ: Acupuncture de qi, from qualitative history to quantitative measurement. J Altern Complement Med 2007, 13: 1059–1070. 10.1089/acm.2007.0524PubMedCrossRef
41.
go back to reference Fox MD, Snyder AZ, Zacks JM, Raichle ME: Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nat Neurosci 2005, 9: 23–25. 10.1038/nn1616PubMedCrossRef Fox MD, Snyder AZ, Zacks JM, Raichle ME: Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nat Neurosci 2005, 9: 23–25. 10.1038/nn1616PubMedCrossRef
42.
go back to reference Greicius MD, Krasnow B, Reiss AL, Menon V: Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA 2003, 100: 253–258. 10.1073/pnas.0135058100PubMedCentralPubMedCrossRef Greicius MD, Krasnow B, Reiss AL, Menon V: Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA 2003, 100: 253–258. 10.1073/pnas.0135058100PubMedCentralPubMedCrossRef
43.
go back to reference Parrish TB, Schaeffer A, Catanese M, Rogel MJ: Functional magnetic resonance imaging of real and sham acupuncture. IEEE Eng Med Biol Mag 2005, 24: 35–40. 10.1109/MEMB.2005.1411346PubMedCentralPubMedCrossRef Parrish TB, Schaeffer A, Catanese M, Rogel MJ: Functional magnetic resonance imaging of real and sham acupuncture. IEEE Eng Med Biol Mag 2005, 24: 35–40. 10.1109/MEMB.2005.1411346PubMedCentralPubMedCrossRef
44.
go back to reference Fang J, Jin Z, Wang Y, Li K, Kong J, Nixon EE, Zeng Y, Ren Y, Tong H: The salient characteristics of the central effects of acupuncture needling: Limbic-paralimbic-neocortical network modulation. Hum Brain Mapp 2009, 30: 1196–1206. 10.1002/hbm.20583PubMedCrossRef Fang J, Jin Z, Wang Y, Li K, Kong J, Nixon EE, Zeng Y, Ren Y, Tong H: The salient characteristics of the central effects of acupuncture needling: Limbic-paralimbic-neocortical network modulation. Hum Brain Mapp 2009, 30: 1196–1206. 10.1002/hbm.20583PubMedCrossRef
45.
go back to reference Jiao Q, Lu G, Zhang Z, Zhong Y, Wang Z, Guo Y, Li K, Ding M, Liu Y: Granger causal influence predicts BOLD activity levels in the default mode network. Hum brain mapp 2011, 32: 154–161. 10.1002/hbm.21065PubMedCrossRef Jiao Q, Lu G, Zhang Z, Zhong Y, Wang Z, Guo Y, Li K, Ding M, Liu Y: Granger causal influence predicts BOLD activity levels in the default mode network. Hum brain mapp 2011, 32: 154–161. 10.1002/hbm.21065PubMedCrossRef
46.
go back to reference Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL: A default mode of brain function. Proc Natl Acad Sci USA 2001, 98: 676–682. 10.1073/pnas.98.2.676PubMedCentralPubMedCrossRef Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL: A default mode of brain function. Proc Natl Acad Sci USA 2001, 98: 676–682. 10.1073/pnas.98.2.676PubMedCentralPubMedCrossRef
47.
go back to reference Buckner RL, Andrews-Hanna JR, Schacter DL: The Brain's Default Network. Ann N Y Acad Sci 2008, 1124: 1–38. 10.1196/annals.1440.011PubMedCrossRef Buckner RL, Andrews-Hanna JR, Schacter DL: The Brain's Default Network. Ann N Y Acad Sci 2008, 1124: 1–38. 10.1196/annals.1440.011PubMedCrossRef
48.
go back to reference Dhond RP, Yeh C, Park K, Kettner N, Napadow V: Acupuncture modulates resting state connectivity in default and sensorimotor brain networks. Pain 2008, 407–418. 10.1016/j.pain.2008.01.011 Dhond RP, Yeh C, Park K, Kettner N, Napadow V: Acupuncture modulates resting state connectivity in default and sensorimotor brain networks. Pain 2008, 407–418. 10.1016/j.pain.2008.01.011
49.
go back to reference Northoff G, Qin P, Nakao T: Rest-stimulus interaction in the brain: a review. Trends Neurosci 2010, 33: 277–284. 10.1016/j.tins.2010.02.006PubMedCrossRef Northoff G, Qin P, Nakao T: Rest-stimulus interaction in the brain: a review. Trends Neurosci 2010, 33: 277–284. 10.1016/j.tins.2010.02.006PubMedCrossRef
50.
go back to reference Boly M, Balteau E, Schnakers C, Degueldre C, Moonen G, Luxen A, Phillips C, Peigneux P, Maquet P, Laureys S: Baseline brain activity fluctuations predict somatosensory perception in humans. Proc Natl Acad Sci USA 2007, 104: 12187–12192. 10.1073/pnas.0611404104PubMedCentralPubMedCrossRef Boly M, Balteau E, Schnakers C, Degueldre C, Moonen G, Luxen A, Phillips C, Peigneux P, Maquet P, Laureys S: Baseline brain activity fluctuations predict somatosensory perception in humans. Proc Natl Acad Sci USA 2007, 104: 12187–12192. 10.1073/pnas.0611404104PubMedCentralPubMedCrossRef
51.
go back to reference Mantini D, Perrucci MG, Del Gratta C, Romani GL, Corbetta M: Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci USA 2007, 104: 13170–13175. 10.1073/pnas.0700668104PubMedCentralPubMedCrossRef Mantini D, Perrucci MG, Del Gratta C, Romani GL, Corbetta M: Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci USA 2007, 104: 13170–13175. 10.1073/pnas.0700668104PubMedCentralPubMedCrossRef
52.
go back to reference Harrison BJ, Pujol J, López-Solà M, Hernández-Ribas R, Deus J, Ortiz H, Soriano-Mas C, Yücel M, Pantelis C, Cardoner N: Consistency and functional specialization in the default mode brain network. Proc Natl Acad Sci USA 2008, 105: 9781–9786. 10.1073/pnas.0711791105PubMedCentralPubMedCrossRef Harrison BJ, Pujol J, López-Solà M, Hernández-Ribas R, Deus J, Ortiz H, Soriano-Mas C, Yücel M, Pantelis C, Cardoner N: Consistency and functional specialization in the default mode brain network. Proc Natl Acad Sci USA 2008, 105: 9781–9786. 10.1073/pnas.0711791105PubMedCentralPubMedCrossRef
53.
go back to reference Greicius MD, Srivastava G, Reiss AL, Menon V: Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proceedings of the National Academy of Sciences of the United States of America 2004, 101: 4637. 10.1073/pnas.0308627101PubMedCentralPubMedCrossRef Greicius MD, Srivastava G, Reiss AL, Menon V: Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proceedings of the National Academy of Sciences of the United States of America 2004, 101: 4637. 10.1073/pnas.0308627101PubMedCentralPubMedCrossRef
54.
go back to reference Calhoun V, Adali T, Pearlson G, Pekar J: A method for making group inferences from functional MRI data using independent component analysis. HumBrain Mapp 2001, 14: 140–151. 10.1002/hbm.1048CrossRef Calhoun V, Adali T, Pearlson G, Pekar J: A method for making group inferences from functional MRI data using independent component analysis. HumBrain Mapp 2001, 14: 140–151. 10.1002/hbm.1048CrossRef
55.
go back to reference Bell A, Sejnowski T: An information-maximization approach to blind separation and blind deconvolution. Neural Comput 1995, 7: 1129–1159. 10.1162/neco.1995.7.6.1129PubMedCrossRef Bell A, Sejnowski T: An information-maximization approach to blind separation and blind deconvolution. Neural Comput 1995, 7: 1129–1159. 10.1162/neco.1995.7.6.1129PubMedCrossRef
56.
go back to reference McKeown M, Jung T, Makeig S, Brown G, Kindermann S, Lee T, Sejnowski T: Spatially independent activity patterns in functional MRI data during the Stroop color-naming task. Proc Natl Acad Sci USA 1998, 95: 803. 10.1073/pnas.95.3.803PubMedCentralPubMedCrossRef McKeown M, Jung T, Makeig S, Brown G, Kindermann S, Lee T, Sejnowski T: Spatially independent activity patterns in functional MRI data during the Stroop color-naming task. Proc Natl Acad Sci USA 1998, 95: 803. 10.1073/pnas.95.3.803PubMedCentralPubMedCrossRef
Metadata
Title
The temporal-spatial encoding of acupuncture effects in the brain
Authors
Wei Qin
Lijun Bai
Jianping Dai
Peng Liu
Minghao Dong
Jixin Liu
Jinbo Sun
Kai Yuan
Peng Chen
Baixiao Zhao
Qiyong Gong
Jie Tian
Yijun Liu
Publication date
01-12-2011
Publisher
BioMed Central
Published in
Molecular Pain / Issue 1/2011
Electronic ISSN: 1744-8069
DOI
https://doi.org/10.1186/1744-8069-7-19

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