Exploring the evolution of post-acupuncture resting-state networks combining ICA and multivariate Granger causality

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 2813-2816

  Zhong, Chongguang ^a   Bai, Lijun ^b   Dai, Ruwei ^b   Xue, Ting ^b   Feng, Yuanyuan ^b   Wang, Hu ^b   Liu, Zhenyu ^b   You, Youbo ^b   Tian, Jie ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ACUPOINTS; BI-DIRECTIONAL CONNECTIONS; CLINICAL TREATMENTS; COGNITIVE FUNCTIONS; DORSOLATERAL PREFRONTAL CORTEX; FUNCTION OF TIME; FUNCTIONAL SPECIFICITY; GRANGER CAUSALITY; RESTING STATE; SUPERIOR TEMPORAL GYRUS;

AUDITION; BIOLOGY;

ACUPUNCTURE;

ACUPUNCTURE; ADULT; ARTICLE; FEMALE; HUMAN; MALE; MULTIVARIATE ANALYSIS;

ACUPUNCTURE; ADULT; FEMALE; HUMANS; MALE; MERIDIANS; MULTIVARIATE ANALYSIS;

EID: 84862622780     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090778     Document Type: Conference Paper

References (24)

1. Beijing, Shanghai and Nanjing College of Traditional Chinese Medicine. Acupuncture Institute of the Academy of Traditional Chinese Medicine. Essentials of Chinese acupuncture, Beijing, People's Republic of China: Foreign Language Press, 1980.
2. NIH, "NIH consensus conference statement acupuncture," JAMA, vol. 280, pp. 1518-1524, 1998.
3. K. Hui, et al., "Acupuncture modulates the limbic system and subcortical gray structures of the human brain: evidence from fMRI studies in normal subjects," Hum Brain Mapp, vol. 9, pp. 13-25, 2000.
4. J. Fang, et al., "The salient characteristics of the central effects of acupuncture needling: Limbic-paralimbic-neocortical network modulation," Hum brain mapp, vol. 30, pp. 1196-1206, 2009.
5. L. Bai, et al., "Spatiotemporal modulation of central neural pathway underlying acupuncture action: a systematic review," Current Medical Imaging Reviews, vol. 5, pp. 167-173, 2009.
6. D. Price, A. Rafii, L. Watkins, and B. Buckingham, "A psychophysical analysis of acupuncture analgesia," Pain, vol. 19, pp. 27-42, 1984.
7. L. Bai, et al., "Time-varied characteristics of acupuncture effects in fMRI studies," Hum Brain Mapp, vol. 30, pp. 3445-3460, 2009.
8. L. Bai, et al., "Acupuncture modulates temporal neural responses in wide brain networks: evidence from fMRI study," Mol Pain, 2010.
9. R. Dhond, C. Yeh, K. Park, N. Kettner, and V. Napadow, "Acupuncture modulates resting state connectivity in default and sensorimotor brain networks," Pain, vol. 136, pp. 407-418, 2008.
10. L. Bai, et al., "Acupuncture modulates spontaneous activities in the anticorrelated resting brain networks," Brain Res, vol. 1279, pp. 37-49, 2009.
11. J. Damoiseaux, et al., "Consistent resting-state networks across healthy subjects," Proc Natl Acad Sci USA, vol. 103, pp. 13848-53, 2006.
12. O. Demirci, et al., "Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls," Neuroimage, vol. 46, pp. 419-431, 2009.
13. C. Granger, "Investigating causal relations by econometric models and cross-spectral methods," Econometrica, pp. 424-438, 1969.
14. W. Liao, et al., "Small-world directed networks in the human brain: multivariate Granger causality analysis of resting-state fMRI," Neuroimage, vol. 54, pp. 2683-94, 2011.
15. G. Deshpande, S. LaConte, G. James, S. Peltier, and X. Hu, "Multivariate Granger causality analysis of fMRI data," Hum Brain Mapp, vol. 30, pp. 1361-1373, 2009.
16. M. Greicius, B. Krasnow, A. Reiss, and V. Menon, "Functional connectivity in the resting brain: a network analysis of the default mode hypothesis," Proc Natl Acad Sci USA, vol. 100, pp. 253-258, 2003.
17. Q. Jiao, et al., "Granger causal influence predicts BOLD activity levels in the default mode network," Hum Brain Mapp, 2010, DOI: 10.1002/hbm.21065.
18. Y. Li, T. Adali, and V. Calhoun, "Sample dependence correction for order selection in fMRI analysis," in Proc. ISBI, 2006, pp. 1072-1075.
19. M. Kamiński, M. Ding, W. Truccolo, and S. Bressler, "Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance," Biol Cybern, vol. 85, pp. 145-157, 2001.
20. H. MacPherson, L. Thorpe, K. Thomas, and M. Campbell, "Acupuncture for low back pain: traditional diagnosis and treatment of 148 patients in a clinical trial," Complement Ther Med, vol. 12, pp. 38-44, 2004.
21. M. Lee, B. Shin, and E. Ernst, "Acupuncture for Alzheimer's disease: a systematic review," Int J Clin Pract, vol. 63, pp. 874-879, 2009.
22. J. C. Culham and N. G. Kanwisher, "Neuroimaging of cognitive functions in human parietal cortex," Current Opinion in Neurobiology, vol. 11, pp. 157-163, 2001.
23. B. Elsa, A. Philip, P. Kevin, and J. Rosalie, "On age differences in prefrontal function: The importance of emotional/previous cognitive integration," Neuropsychologia, vol. 48, pp. 319-333, 2010.
24. D. Sridharan, D. Levitin, and V. Menon, "A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks," Proc Natl Acad Sci USA, vol. 105, pp. 12569-74, 2008.