TY - GEN
T1 - The spatial pattern of basal ganglia network
T2 - 6th International Conference on Complex Medical Engineering, CME 2012
AU - Wen, Xuyun
AU - Yao, Li
AU - Fan, Tingting
AU - Wu, Xia
AU - Liu, Jiangtao
PY - 2012
Y1 - 2012
N2 - Basal ganglia, consisting of the putamen, caudate nucleus, pallidum, substantia nigra and subthalamic nucleus, are associated with a variety of functions, including motor, cognitive, motivational, and emotional processes, and play an important role in numerous neurological and psychiatric disorders. Here, we utilized two kinds of resting state functional connectivity techniques: independent component analysis (ICA) and regions of interest (ROI) based correlation analysis, to find the spatial pattern of basal ganglia network through functional magnetic resonance imaging (fMRI) examination during rest. fMRI data were acquired in twenty-one healthy subjects. The results identified the existence of resting state network in basal ganglia and thalamus. Meantime, our study highlighted that caudate nucleus was also a part of this network. Compared with ROI-based analysis, the approach of ICA was more suited to detect this network.
AB - Basal ganglia, consisting of the putamen, caudate nucleus, pallidum, substantia nigra and subthalamic nucleus, are associated with a variety of functions, including motor, cognitive, motivational, and emotional processes, and play an important role in numerous neurological and psychiatric disorders. Here, we utilized two kinds of resting state functional connectivity techniques: independent component analysis (ICA) and regions of interest (ROI) based correlation analysis, to find the spatial pattern of basal ganglia network through functional magnetic resonance imaging (fMRI) examination during rest. fMRI data were acquired in twenty-one healthy subjects. The results identified the existence of resting state network in basal ganglia and thalamus. Meantime, our study highlighted that caudate nucleus was also a part of this network. Compared with ROI-based analysis, the approach of ICA was more suited to detect this network.
KW - ROI analysis
KW - basal ganglia
KW - independent component analysis
KW - resting state
UR - http://www.scopus.com/inward/record.url?scp=84867644034&partnerID=8YFLogxK
U2 - 10.1109/ICCME.2012.6275632
DO - 10.1109/ICCME.2012.6275632
M3 - Conference contribution
AN - SCOPUS:84867644034
SN - 9781467316163
T3 - 2012 ICME International Conference on Complex Medical Engineering, CME 2012 Proceedings
SP - 43
EP - 46
BT - 2012 ICME International Conference on Complex Medical Engineering, CME 2012 Proceedings
Y2 - 1 July 2012 through 4 July 2012
ER -