Independent component analysis of nondeterministic fMRI signal sources

被引：309
作者：
Kiviniemi, V
Kantola, JH
Jauhiainen, J
Hyvärinen, A
Tervonen, O
机构：
[1] Oulu Univ, Dept Diagnost Radiol, Oulu, Finland
[2] Oulu Polytech, Inst Technol, Oulu, Finland
[3] Aalto Univ, Neural Networks Res Ctr, Helsinki, Finland
来源：
NEUROIMAGE | 2003年 / 19卷 / 02期
关键词：
fMRI; ICA; child; anesthesia; vasomotor fluctuation;
D O I：
10.1016/S1053-8119(03)00097-1
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
Neuronal activation can be separated from other signal sources of functional magnetic resonance imaging (fMRI) data by using independent component analysis (ICA). Without deliberate neuronal activity of the brain cortex, the fMRI signal is a stochastic sum of various physiological and artifact related signal sources. The ability of spatial-domain ICA to separate spontaneous physiological signal sources was evaluated in 15 anesthetized children known to present prominent vasomotor fluctuations in the functional cortices. ICA separated multiple clustered signal sources in-the primary sensory areas in all of the subjects. The spatial distribution and frequency spectra of the signal sources correspond to the known properties of 0.03-Hz very-low-frequency vasomotor waves in fMRI data. In addition, ICA was able to separate major artery and sagittal sinus related signal sources in each subject. The characteristics of the blood vessel related signal sources were different from the parenchyma sources. ICA analysis of fMRI can be used for both assessing the statistical independence of brain signals and segmenting nondeterministic signal sources for further analysis. (C) 2003 Elsevier Science (USA). All rights reserved.
引用
收藏
页码：253 / 260
页数：8
相关论文
共 32 条
[1]   FUNCTIONAL CONNECTIVITY IN THE MOTOR CORTEX OF RESTING HUMAN BRAIN USING ECHO-PLANAR MRI [J].
BISWAL, B ;
YETKIN, FZ ;
HAUGHTON, VM ;
HYDE, JS .
MAGNETIC RESONANCE IN MEDICINE, 1995, 34 (04) :537-541
[2]  
Coca D, 1998, ADV EXP MED BIOL, V454, P571
[3]  
Cordes D, 2000, AM J NEURORADIOL, V21, P1636
[4]  
Cordes D, 2001, AM J NEURORADIOL, V22, P1326
[5]  
Eke A, 1999, ADV EXP MED BIOL, V471, P49
[6]   Estimation of respiration-induced noise fluctuations from undersampled multislice fMRI data [J].
Frank, LR ;
Buxton, RB ;
Wong, EC .
MAGNETIC RESONANCE IN MEDICINE, 2001, 45 (04) :635-644
[7]   Fast and robust fixed-point algorithms for independent component analysis [J].
Hyvärinen, A .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (03) :626-634
[8]   Topographic independent component analysis [J].
Hyvärinen, A ;
Hoyer, PO ;
Inki, M .
NEURAL COMPUTATION, 2001, 13 (07) :1527-1558
[9]   Independent component analysis:: algorithms and applications [J].
Hyvärinen, A ;
Oja, E .
NEURAL NETWORKS, 2000, 13 (4-5) :411-430
[10]  
Kiviniemi V, 2000, MAGN RESON MED, V44, P373, DOI 10.1002/1522-2594(200009)44:3<373::AID-MRM5>3.0.CO
1234