An fMRI study of acupuncture using independent component analysis.
In this paper, we studied the brain functional networks corresponding to the traditional multiple-block acupuncture task paradigm. Due to the complexity and sustainability seen during acupuncture, we wanted to investigate whether or not the effects during acupuncture are changing according to the multiple-block paradigm. We introduced the data driven method of independent component analysis (ICA) to identify brain functional networks activated during the course of acupuncture and to isolate different networks likely related to different aspects of the acupuncture experience. The comparisons between different resting states disclosed the discrepancies between the pre- and post-needling effects in the brain. Furthermore, the distinction between needle stimulation and the resting state indicated that there existed different functional brain networks. These results also portray time variability during the course of acupuncture.
Zhang
Yi
Y
Life Science Research Center, School of Electronic Engineering, Xidian University, Xi'an, Shaanxi 710071, China.
Qin
Wei
W
Liu
Peng
P
Tian
Jie
J
Liang
Jimin
J
von Deneen
Karen M
KM
Liu
Yijun
Y
D026881:Acupuncture; D000328:Adult; D000344:Afferent Pathways / Q000098:blood supply / Q000502:physiology; D001921:Brain / Q000098:blood supply* / Q000502:physiology; D001931:Brain Mapping; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D010100:Oxygen / Q000097:blood; D025341:Principal Component Analysis; D055815:Young Adult
D010100:Oxygen