DocumentCode :
3069167
Title :
The spatial pattern of basal ganglia network: A resting state fMRI study
Author :
Wen, Xuyun ; Yao, Li ; Fan, Tingting ; Wu, Xia ; Liu, Jiangtao
Author_Institution :
State Key Lab. of Cognitive Neurosci. & Learning, Beijing Normal Univ., Beijing, China
fYear :
2012
fDate :
1-4 July 2012
Firstpage :
43
Lastpage :
46
Abstract :
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.
Keywords :
biomedical MRI; data acquisition; independent component analysis; medical disorders; medical image processing; neurophysiology; basal ganglia network; caudate nucleus; cognitive processes; data acquisition; emotional processes; functional magnetic resonance imaging; independent component analysis; motivational processes; motor processes; neurological disorders; pallidum; psychiatric disorders; putamen; regions-of-interest based correlation analysis; resting state fMRI; spatial pattern; substantia nigra; subthalamic nucleus; Diseases; Physiology; Software; ROI analysis; basal ganglia; independent component analysis; resting state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex Medical Engineering (CME), 2012 ICME International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-1617-0
Type :
conf
DOI :
10.1109/ICCME.2012.6275632
Filename :
6275632
Link To Document :
بازگشت