Improved application of independent component analysis to functional magnetic resonance imaging study via linear projection techniques

Human Brain Mapping

Volumn 30, Issue 2, 2009, Pages 417-431

  Long, Zhiying ^a   Chen, Kewei ^a,b   Wu, Xia ^a   Reiman, Eric ^b   Peng, Danling ^a   Yao, Li ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b BANNER ALZHEIMER S INSTITUTE   (United States)

Author keywords

FMRI; Independent component analysis; Projection; SICA; Spatially independent, two task

Indexed keywords

ADULT; ARTICLE; BRAIN MAPPING; BRAIN REGION; COLOR VISION; COMPUTER SIMULATION; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL NOISE RATIO; STATISTICAL MODEL; VISUAL ACUITY; VISUAL CORTEX;

ADULT; ALGORITHMS; AUTOMATIC DATA PROCESSING; BRAIN; BRAIN MAPPING; CLINICAL PROTOCOLS; COMPUTER SIMULATION; FEMALE; FINITE ELEMENT ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PSYCHOMOTOR PERFORMANCE; SOFTWARE; VISUAL PERCEPTION; YOUNG ADULT;

EID: 59949087327     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/hbm.20515     Document Type: Article

References (34)

1. Bandettini PA, Jesmanowicz A, Wong EC, Hyde J (1993): Processing strategies for time-course data sets in functional MRI of the human brain. Magn Reson Med 30:161-173.
2. Bartels A, Zeki S (2004): The chronoarchitecture of the human brain-natural viewing conditions reveal a time-based anatomy of the brain. Neurolmage 22:419-433.
3. Bartels A, Zeki S (2005): Brain dynamics during natural viewing conditions - A new guide for mapping connectivity in vivo. NeuroImage 24:339-349.
4. Beckmann CF, DeLuca M, Devlin JT, Smith SM (2005): Investigations into resting-state connectivity using independent component analysis. Phil Trans R Soc B 360:1001-1013.
5. Beckmann CF, Jenkinson M, Woolrich MW, Behrens TEJ (2006): Applying FSL to the FICA data: Model-based and model-free analysis of voice and sentence repetition priming. Hum Brain Mapp 27:380-391.
6. Bell AJ, Sejnowski TJ (1995): An information-maximization approach to blind separation and blind deconvolution. Neural Comput 7:1129-1159.
7. Biswal BB, Ulmer JL (1999a): Blind source separation of physiological fluctuations in fMRI using digital filters. Magn Reson Med 35:107-113.
8. Biswal BB, Ulmer JL (1999b): Blind source separation of multiple signal sources of fMRI data sets using independent component analysis. J Comput Assist Tomogr 23:265-271.
9. Calhoun VD, Adali T, McGinty V, Pekar JJ, Watson T, Pearlson GD (2001a): FMRI activation in a visual-perception task: Network of areas detected using the general linear model and independent components analysis. NeuroImage 14:1080-1088.
10. Calhoun VD, Adali T, Pearlson GD, Pekar JJ (2001b): Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. Hum Brain Mapp 13:43-53.
11. Chad HM, Victor MH, Dietmar C, Michelle Q (2000): Whole-brain functional MR imaging activation from a finger-typing task examined with independent component analysis. AJNR Am J Neuroradiol 21:1629-1635.
12. Constable RT, Skudlarski P, Gore JC (1995): An ROC approach for evaluating functional brain MR imaging and postprocessing protocols. Magn Reson Med 34:57-64.
13. De Luca M, Beckmann CF, De Stefano N, Matthews PM, Smith SM (2006): fMRI resting state networks define distinct modes of long-distance interactions in the human brain. NeuroImage 29:1359-1367.
14. Dumoulin SO, Bittar RG, Kabani NJ, Baker CL, Le Goualher G, Bruce Pike G, Evans AC (2000): A new anatomical landmark for reliable identification of human area V5/MT: A quantitative analysis of sulcal patterning. Cerebral Cortex 10:454-463.
15. Esposito F, Scarabino T, Hyvarinen A, Himberg J, Formisano E, Comani S, Tedeschi G, Goebel R, Seifritz E, Di Salle F (2005): Independent component analysis of fMRI group studies by self-organizing clustering. NeuroImage 25:193-205.
16. Frackowiak RSJ, Fristion KJ, Frith CD, Dolan RJ, Frith CD, Ashburner J, Price CJ, Penny W (2004): The General Linear Model. Human Brain Function, 2nd ed. New York: Academic Press.
17. Friston KJ, Frith CD, Turner R, Frackowiak RS (1995): Characterizing evoked hemodynamics with fMRI. NeuroImage 2:157-165.
18. Friston KJ, Fletcher P, Josephs O, Holmes AP, Rugg MD, Turner R (1998): Event-related fMRI: Characterising differential responses. NeuroImage 7:30-40.
19. Hu D, Yan L, Liu Y, Zhou Z, Friston KJ, Tan C, Wu D (2005): Unified SPM-sICA for fMRI analysis. NeuroImage 25:746-755.
20. Lange N, Strother SC, Anderson JR, Nielsen FA, Holmes AP, Kolenda T, Savoy R, Hansen LK (1999): Plurality and resemblance in fMRI data analysis. NeuroImage 10:282-303.
21. Long ZY, Yao L (2003): Spatial Independent Component Analysis of Multitask-Related Activation in fMRI Data. LNCS. Berlin: Springer. pp 515-522.
22. Lund TE, Madsen KH, Sidaros K, Luo WL, Nichols TE (2006): Non-white noise in fMRI: Does modelling have an impact? NeuroImage 29:54-66.
23. McKeefry DJ, Zeki S (1997): The position and topography of the human colour centre as revealed by functional magnetic resonance imaging. Brain 120 (Part 12):2229-2242.
24. McKeown MJ (2000): Detection of consistently task-related activations in fMRI data with hybrid independent component analysis. NeuroImage 11:24-35.
25. McKeown MJ, Sejnowski TJ (1998): Independent component analysis of fMRI Data: Examining the assumptions. Hum Brain Mapp 6:368-372.
26. Mckeown MJ, Makeig S, Brown GG, Jung T-P, Kindermann SS, Bell AJ, Sejnowski TJ (1998): Analysis of fMRI data by separation into independent spatial components. Hum Brain Mapp 6:160-188.
27. Rajapakse JC, Tan CL, Xuebin Z, Mukhopadhyay S, Yang K (2006): Exploratory analysis of brain connectivity with sICA. IEEE Eng Med Biol Mag 25:102-111.
28. Salzman CD, Britten KH, Newsome WT (1990): Cortical microstimulation influences perceptual judgements of motion direction. Nature 346:174-177.
29. Schmithorst VJ (2005): Separate cortical networks involved in music perception: Preliminary functional MRI evidence for modularity of music processing. NeuroImage 25:444-451.
30. Schmithorst VJ, Brown RD (2004): Empirical validation of the triplecode model of numerical processing for complex math operations using functional MRI and group independent component analysis of the mental addition and subtraction of fractions. NeuroImage 22:1414-1420.
31. Snowden RJ (1994): Motion processing in the primate cerebral cortex. In Smith AT, Snowden RJ, editors. Visual Detection of Motion. London: Academic Press. pp 51-83.
32. Sorenson JA, Wang X (1996): Roc methods for evaluation of fMRI techniques. Magn Reson Med 36:737-744.
33. Studholme C, Hill DLG, Hawkes DJ (1999): An overlap invariant entropy measure of 3D medical image alignment. Pattern Recogn 32:71-86.
34. van de Ven VG, Formisano E, Prvulovic D, Roeder C, Linden DEJ (2004): Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Hum Brain Mapp 22:165-178.