Capturing inter-subject variability with group independent component analysis of fMRI data: A simulation study

NeuroImage

Volumn 59, Issue 4, 2012, Pages 4141-4159

  Allen, Elena A ^a   Erhardt, Erik B ^a,b   Wei, Yonghua ^b   Eichele, Tom ^c,d   Calhoun, Vince D ^a,e  

^a MIND RESEARCH NETWORK   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c UNIVERSITY OF BERGEN   (Norway)

^d HAUKELAND UNIVERSITY HOSPITAL   (Norway)

^e University of New Mexico   (United States)

Author keywords

FMRI; Group ICA; Inter subject variability; Model order; Multi subject; Simulations

Indexed keywords

AMPLITUDE MODULATOR; ARTICLE; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS; INTER SUBJECT VARIABILITY; NOISE; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SIMULATION; STATISTICAL PARAMETERS;

BRAIN; HUMANS; MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS;

EID: 84857030713     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.10.010     Document Type: Article

References (60)

1. Abou-Elseoud A., Starck T., Remes J., Nikkinen J., Tervonen O., Kiviniemi V. The effect of model order selection in group PICA. Hum. Brain Mapp. 2010, 31(8):1207-1216.
2. Allen E.A., Erhardt E.B., Damaraju E., Gruner W., Segall J.M., Silva R.F., Havlicek M., Rachakonda S., Fries J., Kalyanam R., Michael A.M., Caprihan A., Turner J.A., Eichele T., Adelsheim S., Bryan A.D., Bustillo J., Clark V.P., Ewing S.W.F., Filbey F., Ford C.C., Hutchison K., Jung R.E., Kiehl K.A., Kodituwakku P., Komesu Y.M., Mayer A.R., Pearlson G.D., Phillips J.P., Sadek J.R., Stevens M., Teuscher U., Thoma R.J., Calhoun V.D. A baseline for the multivariate comparison of resting state networks. Frontiers in Systems Neuroscience 2011, 5:12.
3. Amunts K., Malikovic A., Mohlberg H., Schormann T., Zilles K. Brodmann's areas 17 and 18 brought into stereotaxic space-where and how variable?. Neuroimage 2000, 11(1):66-84.
4. Beckmann C., Smith S. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans. Med. Imaging 2004, 23(2):137-152.
5. Beckmann C., Smith S. Tensorial extensions of independent component analysis for multisubject FMRI analysis. Neuroimage 2005, 25(1):294-311.
6. Beckmann C.F., Mackay C.E., Filippini N., Smith S.M. Group comparison of resting-state fMRI data using multi-subject ICA and dual regression. Neuroimage 2009, 47(1):S148.
7. Bell A.J., Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 1995, 7(6):1129-1159.
8. Biswal B.B., Mennes M., Zuo X.N., Gohel S., Kelly C., et al. Toward discovery science of human brain function. Proc. Natl. Acad. Sci. 2010, 107(10):4734-4739.
9. Brett M., Johnsrude I., Owen A. The problem of functional localization in the human brain. Nat. Rev. Neurosci. 2002, 3(3):243-249.
10. Calhoun V., Pekar J., Pearlson G. Alcohol intoxication effects on simulated driving: exploring alcohol-dose effects on brain activation using functional MRI. Neuropsychopharmacology 2004, 29(11):2097-2107.
11. Calhoun V.D., Adali T., McGinty V.B., Pekar J.J., Watson T.D., Pearlson G.D. fMRI activation in a visual-perception task: network of areas detected using the general linear model and independent components analysis. Neuroimage 2001, 14(5):1080-1088.
12. Calhoun V.D., Adali T., Pearlson G.D., Pekar J.J. A method for making group inferences from functional MRI data using independent component analysis. Hum. Brain Mapp. 2001, 14(3):140-151.
13. Calhoun V.D., Adali T., Pearlson G.D., Pekar J.J. Erratum: a method for making group inferences from functional MRI data using independent component analysis. Hum. Brain Mapp. 2002, 16:131.
14. Calhoun V.D., Adali T., Pekar J.J., Pearlson G.D. Latency (in)sensitive ICA: group independent component analysis of fMRI data in the temporal frequency domain. Neuroimage 2003, 20(3):1661-1669.
15. Calhoun V.D., Kiehl K.A., Pearlson G.D. Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks. Hum. Brain Mapp. 2008, 29(7):828-838.
16. Calhoun V.D., Liu J., Adali T. A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. Neuroimage 2009, 45(1):S163-S172.
17. Cordes D., Nandy R. Estimation of the intrinsic dimensionality of fMRI data. Neuroimage 2006, 29(1):145-154.
18. Crivello F., Schormann T., Tzourio-Mazoyer N., Roland P., Zilles K., Mazoyer B. Comparison of spatial normalization procedures and their impact on functional maps. Hum. Brain Mapp. 2002, 16(4):228-250.
19. Damoiseaux J.S., Rombouts S., Barkhof F., Scheltens P., Stam C.J., Smith S.M., Beckmann C.F. Consistent resting-state networks across healthy subjects. Proc. Natl. Acad. Sci. 2006, 103(37):13848-13853.
20. Derrfuss J., Brass M., Von Cramon D., Lohmann G., Amunts K. Neural activations at the junction of the inferior frontal sulcus and the inferior precentral sulcus: Interindividual variability, reliability, and association with sulcal morphology. Hum. Brain Mapp. 2009, 30(1):299-311.
21. Duncan K., Pattamadilok C., Knierim I., Devlin J. Consistency and variability in functional localisers. Neuroimage 2009, 46(4):1018-1026.
22. Erhardt E., Allen E., Wei Y., Eichele T., Calhoun V. SimTB, a Simulation Toolbox for fMRI Data Under a Model of Spatiotemporal Separability June 2011, Organization for Human Brain Mapping.
23. Erhardt E.B., Rachakonda S., Bedrick E., Allen E.A., Adali T., Calhoun V.D. Comparison of multi-subject ICA methods for analysis of fMRI data. Human Brain Mapping 2011, 32(12):2075-2095.
24. Esposito F., Scarabino T., Hyvarinen A., Himberg J., Formisano E., Comani S., Tedeschi G., Goebel R., Seifritz E., Di Salle F. Independent component analysis of fMRI group studies by self-organizing clustering. Neuroimage 2005, 25(1):193-205.
25. Filippini N., MacIntosh B.J., Hough M.G., Goodwin G.M., Frisoni G.B., Smith S.M., Matthews P.M., Beckmann C.F., Mackay C.E. Distinct patterns of brain activity in young carriers of the APOE-ε4 allele. Proc. Natl. Acad. Sci. 2009, 106(17):7209-7214.
26. Friston K.J., Holmes A.P., Worsley K.J., Poline J.B., Frith C.D., Frackowiak R.S.J., et al. Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 1995, 2(4):189-210.
27. Genovese C.R., Lazar N.A., Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage 2002, 15(4):870-878.
28. Greicius M., Srivastava G., Reiss A., Menon V. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proc. Natl. Acad. Sci. 2004, 101(13):4637-4642.
29. Gudbjartsson H., Patz S. The Rician distribution of noisy MRI data. Magn. Reson. Med. 1995, 34(6):910-914.
30. Guo Y., Pagnoni G. A unified framework for group independent component analysis for multi-subject fMRI data. Neuroimage 2008, 42(3):1078-1093.
31. Himberg J., Hyvärinen A., Esposito F. Validating the independent components of neuroimaging time series via clustering and visualization. Neuroimage 2004, 22(3):1214-1222.
32. Hyvärinen A., Karhunen J., Oja E. Independent Component Analysis, Adaptive and Learning Systems for Signal Processing, Communications, and Control 2001, John Wiley & Sons, New York.
33. Jafri M., Pearlson G., Stevens M., Calhoun V. A method for functional network connectivity among spatially independent resting-state components in schizophrenia. Neuroimage 2008, 39(4):1666-1681.
34. Kiviniemi V., Starck T., Remes J., Long X., Nikkinen J., Haapea M., Veijola J., Moilanen I., Isohanni M., Zang Y.F., Tervonen O. Functional segmentation of the brain cortex using high model order group PICA. Hum. Brain Mapp. 2009, 30(12):3865-3886.
35. Kriegeskorte N., Bandettini P. Analyzing for information, not activation, to exploit high-resolution fMRI. Neuroimage 2007, 38(4):649-662.
36. Li Y., Adali T., Calhoun V. Estimating the number of independent components for functional magnetic resonance imaging data. Hum. Brain Mapp. 2007, 28(11):1251-1266.
37. Lin Q., Liu J., Zheng Y., Liang H., Calhoun V. Semiblind spatial ICA of fMRI using spatial constraints. Hum. Brain Mapp. 2010, 31(7):1076-1088.
38. McKeown M., Jung T., Makeig S., Brown G., Kindermann S., Lee T., Sejnowski T. Spatially independent activity patterns in functional MRI data during the Stroop color-naming task. Proc. Natl. Acad. Sci. 1998, 95(3):803.
39. McKeown M.J., Hansen L.K., Sejnowsk T.J. Independent component analysis of functional MRI: what is signal and what is noise?. Curr. Opin. Neurobiol. 2003, 13(5):620-629.
40. Meunier D., Lambiotte R., Fornito A., Ersche K., Bullmore E. Hierarchical modularity in human brain functional networks. Frontiers in Neuroinformatics 2009, 3(37).
41. Mikl M., Marecek R., Hlustík P., Pavlicová M., Drastich A., Chlebus P., Brázdil M., Krupa P. Effects of spatial smoothing on fMRI group inferences. Magn. Reson. Imaging 2008, 26(4):490-503.
42. Moosmann M., Eichele T., Nordby H., Hugdahl K., Calhoun V. Joint independent component analysis for simultaneous EEG-fMRI: principle and simulation. Int. J. Psychophysiol. 2008, 67(3):212-221.
43. Ono M., Kubik S., Abernathey C. Atlas of the Cerebral Sulci 1990, Georg Thieme Verlag, Stuttgart.
44. Onton J., Makeig S. Information-based modeling of event-related brain dynamics. Prog. Brain Res. 2006, 159:99-120.
45. Rademacher J., Caviness V., Steinmetz H., Galaburda A. Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology. Cereb. Cortex 1993, 3(4):313.
46. Schmithorst V., Holland S. Comparison of three methods for generating group statistical inferences from independent component analysis of functional magnetic resonance imaging data. J. Magn. Reson. Imaging 2004, 19(3):365-368.
47. Schöpf V., Kasess C., Lanzenberger R., Fischmeister F., Windischberger C., Moser E. Fully exploratory network ICA (FENICA) on resting-state fMRI data. J. Neurosci. Methods 2010, 192(2):207-213.
48. Smith S.M., Fox P.T., Miller K.L., Glahn D.C., Fox P.M., Mackay C.E., Filippini N., Watkins K.E., Toro R., Laird A.R., Beckmann C.F. Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. 2009, 106(31):13040-13045.
49. Svensén M., Kruggel F., Benali H. ICA of fMRI group study data. Neuroimage 2002, 16(3):551-563.
50. Thirion B., Flandin G., Pinel P., Roche A., Ciuciu P., Poline J. Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets. Hum. Brain Mapp. 2006, 27(8):678-693.
51. Thompson P., Schwartz C., Lin R., Khan A., Toga A. Three-dimensional statistical analysis of sulcal variability in the human brain. J. Neurosci. 1996, 16(13):4261-4274.
52. Uylings H., Rajkowska G., Sanz-Arigita E., Amunts K., Zilles K. Consequences of large interindividual variability for human brain atlases: converging macroscopical imaging and microscopical neuroanatomy. Anat. Embryol. 2005, 210(5):423-431.
53. Varoquaux G., Sadaghiani S., Pinel P., Kleinschmidt A., Poline J., Thirion B. A group model for stable multi-subject ICA on fMRI datasets. Neuroimage 2010, 51(1):288-299.
54. White T., O'Leary D., Magnotta V., Arndt S., Flaum M., Andreasen N. Anatomic and functional variability: the effects of filter size in group fMRI data analysis. Neuroimage 2001, 13(4):577-588.
55. Wilms M., Eickhoff S., Specht K., Amunts K., Shah N., Malikovic A., Fink G. Human V5/MT+: comparison of functional and cytoarchitectonic data. Anat. Embryol. 2005, 210(5):485-495.
56. Xiong J., Rao S., Jerabek P., Zamarripa F., Woldorff M., Lancaster J., Fox P. Intersubject variability in cortical activations during a complex language task. Neuroimage 2000, 12(3):326-339.
57. Yang H.H., Amari S. Adaptive online learning algorithms for blind separation: maximum entropy and minimum mutual information. Neural Computation 1997, 1457-1482.
58. Yourganov G., Chen X., Lukic A., Grady C., Small S., Wernick M., Strother S. Dimensionality estimation for optimal detection of functional networks in BOLD fMRI data. Neuroimage 2011, 56(2):531-543.
59. Ystad M., Eichele T., Lundervold A.J., Lundervold A. Subcortical functional connectivity and verbal episodic memory in healthy elderly-a resting state fMRI study. Neuroimage 2010, 52(1):379-388.
60. Zuo X., Kelly C., Adelstein J., Klein D., Castellanos F., Milham M. Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach. Neuroimage 2010, 49(3):2163-2177.