Investigation of acupoint specificity by whole brain functional connectivity analysis from fMRI data

Previous neuroimaging studies on acupuncture have primarily adopted functional connectivity analysis associated with one or a few preselected brain regions. Few have investigated how these brain regions interacted at the whole brain level. In this study, we sought to investigate the acupoint specificity by exploring the whole brain functional connectivity analysis on the post-stimulus resting brain modulated by acupuncture at acupoint PC6, with the same meridian acupoint PC7 and different meridian acupoint GB37. We divided the whole brain into 90 regions and analyzed functional connectivity for each condition. Then we identified statistically significant differences in functional correlations throughout the entire brain following acupuncture at PC6 in comparison with PC7 as well as GB37. For direct comparisons, increased correlations for PC6 compared to PC7 were primarily between the prefrontal regions and the limbic/paralimbic and subcortical regions, whereas decreased correlations were mainly between the parietal regions and the limbic/paralimbic and subcortical regions. On the other hand, increased correlations for PC6 compared to GB37 were primarily between the prefrontal regions and somatosensory regions, whereas decreased correlations were mainly related with the occipital regions. Our findings demonstrated that acupuncture at different acupoints may exert heterogeneous modulatory effects on the post-stimulus resting brain, providing new evidences for the relatively function-oriented specificity of acupuncture effects.

[1]  Jie Tian,et al.  Neural specificity of acupuncture stimulation at pericardium 6: Evidence from an FMRI study , 2010, Journal of magnetic resonance imaging : JMRI.

[2]  Ted J. Kaptchuk,et al.  An fMRI study on the interaction and dissociation between expectation of pain relief and acupuncture treatment , 2009, NeuroImage.

[3]  Maurizio Corbetta,et al.  The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Haibin Tong,et al.  The salient characteristics of the central effects of acupuncture needling: Limbic‐paralimbic‐neocortical network modulation , 2009, Human brain mapping.

[5]  F. Mann Reinventing Acupuncture : A New Concept of Ancient Medicine , 1992 .

[6]  B. Rosen,et al.  Acupuncture modulates the limbic system and subcortical gray structures of the human brain: Evidence from fMRI studies in normal subjects , 2000, Human brain mapping.

[7]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[8]  Y. Benjamini,et al.  Controlling the false discovery rate in behavior genetics research , 2001, Behavioural Brain Research.

[9]  Jie Tian,et al.  Investigation of acupoint specificity by multivariate granger causality analysis from functional MRI data , 2011, Journal of magnetic resonance imaging : JMRI.

[10]  Jie Tian,et al.  Investigation of the large-scale functional brain networks modulated by acupuncture. , 2011, Magnetic resonance imaging.

[11]  G. Stux Systematic Description of Channels and Points , 1987 .

[12]  W. Qin,et al.  Detection of dynamic brain networks modulated by acupuncture using a graph theory model , 2009 .

[13]  Ferenc A Jolesz,et al.  Modulation of cerebellar activities by acupuncture stimulation: evidence from fMRI study , 2004, NeuroImage.

[14]  Jing Liu,et al.  The integrated response of the human cerebro-cerebellar and limbic systems to acupuncture stimulation at ST 36 as evidenced by fMRI , 2005, NeuroImage.

[15]  M. Freedman Frontal and parietal lobe dysfunction in depression: Delayed alternation and tactile learning deficits , 1994, Neuropsychologia.

[16]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[17]  Yong He,et al.  Graph-based network analysis of resting-state functional MRI. , 2010 .

[18]  E. Bullmore,et al.  Neurophysiological architecture of functional magnetic resonance images of human brain. , 2005, Cerebral cortex.

[19]  Jie Tian,et al.  Acupuncture modulates temporal neural responses in wide brain networks: evidence from fMRI study , 2010, Molecular pain.

[20]  Jie Tian,et al.  Acupuncture modulates spontaneous activities in the anticorrelated resting brain networks , 2009, Brain Research.

[21]  Shyang Chang,et al.  Effects of acupuncture at Neiguan (PC 6) on electroencephalogram. , 2009, The Chinese journal of physiology.

[22]  Kuncheng Li,et al.  Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study , 2007, Human brain mapping.

[23]  Jie Tian,et al.  Time‐varied characteristics of acupuncture effects in fMRI studies , 2009, Human brain mapping.

[24]  Jimin Liang,et al.  Spatiotemporal Modulation of Central Neural Pathway Underlying Acupuncture Action: A Systematic Review , 2009 .

[25]  Kyungmo Park,et al.  Acupuncture modulates resting state connectivity in default and sensorimotor brain networks , 2008, PAIN.

[26]  Dr. med. Gabriel Stux,et al.  ACUPUNCTURE , 1974, Springer Berlin Heidelberg.