Multisubject independent component analysis of fMRI: A decade of intrinsic networks, default mode, and neurodiagnostic discovery

IEEE Reviews in Biomedical Engineering

Volumn 5, Issue , 2012, Pages 60-73

  Calhoun, Vince D ^a,b   Adali, Tülay ^c  

^a MIND RESEARCH NETWORK   (United States)

^b MSC01 1070   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Brain; complex valued; fMRI; independent component analysis (ICA); phase

Indexed keywords

ANALYTIC APPROACH; BRAIN CONNECTIVITY; BRAIN FUNCTIONS; BRAIN NETWORKS; COMPLEX-VALUED; DATA-DRIVEN APPROACH; FMRI; FMRI DATA; FUNCTIONAL CONNECTIVITY; PHASE; TEMPORAL CORRELATIONS;

BRAIN; DIGITAL STORAGE; INDEPENDENT COMPONENT ANALYSIS;

FUNCTIONAL NEUROIMAGING;

ALGORITHM; BIOLOGICAL MODEL; BRAIN; BRAIN DISEASE; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; REVIEW; SCHIZOPHRENIA; STATISTICAL MODEL;

ALGORITHMS; BRAIN; BRAIN DISEASES; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; SCHIZOPHRENIA;

EID: 84870993474     PISSN: 19373333     EISSN: None     Source Type: Journal    
DOI: 10.1109/RBME.2012.2211076     Document Type: Article

References (99)

1. A. J. Bell and T. J. Sejnowski, "An information maximisation approach to blind separation and blind deconvolution," Neural Computing, vol. 7, pp. 1129-1159, 1995.
2. E. Erhardt, E. Allen, E. Damaraju, and V. D. Calhoun, "On network derivation, classification, and visualization: A response to Habeck and Moeller," Brain Connectivity, vol. 1, pp. 1-19, 2011.
3. M. J. McKeown, S. Makeig, G. G. Brown, T. P. Jung, S. S. Kindermann, A. J. Bell, and T. J. Sejnowski, "Analysis of fMRI data by blind separation into independent spatial components," Human Brain Mapping, vol. 6, pp. 160-188, 1998.
4. V. D. Calhoun, T. Adali, V. McGinty, J. J. Pekar, T. Watson, and G. D. Pearlson, "fMRI activation in a visual-perception task: Network of areas detected using the general linear model and independent component analysis," NeuroImage, vol. 14, pp. 1080-1088, 2001.
5. V. D. Calhoun, T. Adali, G. D. Pearlson, and J. J. Pekar, "A method for making group inferences from functional MRI data using independent component analysis," Human Brain Mapping, vol. 14, pp. 140-151, 2001.
6. V. D. Calhoun, J. J. Pekar, V. B. McGinty, T. Adali, T. D. Watson, and G. D. Pearlson, "Different activation dynamics in multiple neural systems during simulated driving," Human BrainMapping, vol. 16, pp. 158-167, 2002.
7. V. D. Calhoun, J. J. Pekar, and G. D. Pearlson, "Alcohol intoxication effects on simulated driving: Exploring alcohol-dose effects on brain activation using functionalMRI," Neuropsychopharmacology, vol. 29, pp. 2097-2107, 2004.
8. V. G. Van de Ven, E. Formisano, D. Prvulovic, C. H. Roeder, and D. E. Linden, "Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest," Human Brain Mapping, vol. 22, pp. 165-178, Jul. 2004.
9. V. D. Calhoun, T. Adali, G. D. Pearlson, P. C. van Zijl, and J. J. Pekar, "Independent component analysis of fMRI data in the complex domain," Magn. Reson. Med., vol. 48, pp. 180-192, 2002.
10. V. D. Calhoun, K. A. Kiehl, P. F. Liddle, and G. D. Pearlson, "Aberrant localization of synchronous hemodynamic activity in auditory cortex reliably characterizes schizophrenia," Biol. Psychiatry, vol. 55, pp. 842-849, 2004, PMC2771440.
11. M. D. Greicius, G. Srivastava, A. L. Reiss, and V. Menon, "Defaultmode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functionalMRI," Proc. Nat. Acad. Sci. USA, vol. 101, pp. 4637-4642, 2004.
12. B. Biswal, F. Z. Yetkin, V. M. Haughton, and J. S. Hyde, "Functional connectivity in the motor cortex of resting human brain using echoplanar MRI," Magn. Res. Med., vol. 34, pp. 537-541, 1995.
13. M. E. Raichle, A. M. MacLeod, A. Z. Snyder, W. J. Powers, D. A. Gusnard, and G. L. Shulman, "A default mode of brain function," Proc. Nat. Acad. Sci. USA, vol. 98, pp. 676-682, 2001.
14. A. Abou-Elseoud, T. Starck, J. Remes, J. Nikkinen, O. Tervonen, and V. Kiviniemi, "The effect of model order selection in group PICA," Human Brain Mapping, vol. 31, pp. 1207-1216, Aug. 2010.
15. E. Allen, E. Erhardt, E. Damaraju, W. Gruner, J. Segall, R. Silva, M. Havlicek, S. Rachakonda, J. Fries, R. Kalyanam, A. Michael, J. Turner, T. Eichele, S. Adelsheim, A. Bryan, J. R. Bustillo, V. P. Clark, S. Feldstein, F. M. Filbey, C. Ford, K. Hutchison, R. Jung, K. A. Kiehl, P. Kodituwakku, Y. Komesu, A. R. Mayer, G. D. Pearlson, J. Phillips, J. Sadek, M. Stevens, U. Teuscher, R. J. Thoma, and V. D. Calhoun, "A baseline for the multivariate comparison of resting state networks," Front. Syst. Neurosci., vol. 5, p. 12, 2011.
16. D. I. Kim, D. H. Mathalon, J. M. Ford, M. Mannell, J. A. Turner, G. G. Brown, A. Belger, R. Gollub, J. Lauriello, C. Wible, D. O'Leary, K. Lim, A. Toga, S. G. Potkin, F. Birn, and V. D. Calhoun, "Auditory oddball deficits in schizophrenia: An independent component analysis of the fMRI multisite function BIRN study," Schizophr. Bull., vol. 35, pp. 67-81, Jan. 2009.
17. D. I. Kim, D. S. Manoach,D.H.Mathalon, J. A. Turner,M.Mannell, G. G. Brown, J. M. Ford, R. L. Gollub, T. White, C. Wible, A. Belger, H. J. Bockholt,V. P. Clark, J. Lauriello, D. O'Leary,B.A.Mueller,K.O. Lim, N. Andreasen, S. G. Potkin, and V. D. Calhoun, "Dysregulation of working memory and default-mode networks in schizophrenia using independent component analysis, An fBIRN and MCIC study," Human Brain Mapping, vol. 30, pp. 3795-3811, Nov. 2009.
18. T. Eichele, S. Debener, V. D. Calhoun, K. Specht, A. K. Engel, K. Hugdahl, D. Y. Cramon, and M. Ullsperger, "Prediction of human errors by maladaptive changes in event-related brain networks," Proc. Nat. Acad. Sci. USA, vol. 105, pp. 6173-6178, 2008.
19. J. F. Cardoso and A. Souloumiac, "Blind beamforming for non Gaussian signals," IEE-Proc.-F, vol. 140, pp. 362-370, 1993.
20. D. T. Pham and P. Garat, "Blind separation of mixture of independent sources through a quasi-maximum likelihood approach," IEEE Trans. Signal Proc., vol. 45, no. 6, pp. 1712-1725, Jun. 1997.
21. X. Li and T.Adali, "Independent component analysis by entropy bound minimization," IEEE Trans. Signal Processing, vol. 58, no. 12, pp. 5151-5164, Dec. 2010.
22. A. Hyvarinen and E. Oja, "A fast fixed-point algorithm for independent component analysis," Neural Comput., vol. 9, pp. 1483-1492, 1997.
23. Z. Koldovsky, P. Tichavsky, and E. Oja, "Efficient variant of algorithm FastICA for independent component analysis attaining the Cramer-Rao lower bound," IEEE Trans. Neural Networks, vol. 17, no. 5, pp. 1265-1277, Sep. 2006.
24. A. Yeredor, "Blind separation of Gaussian sources with general covariance structures: Bounds and optimal estimation," IEEE Trans. Signal Process., vol. 58, no. 12, pp. 5057-5068, Dec. 2010.
25. P. Comon, "Independent component analysis-A new concept?," Signal Process., vol. 36, pp. 287-314, 1994.
26. M. Novey and T. Adali, "Complex ICA by negentropy maximization," IEEE Trans. Neural Networks, vol. 19, no. 3, pp. 596-609, May 2008.
27. K. E. Hild, 2nd, H. T. Attias, and S. S. Nagarajan, "An expectation- maximization method for spatio-temporal blind source separation using an AR-MOG source model," IEEE Trans. Neural Networks, vol. 19, no. 2, pp. 508-519, Mar. 2008, 2774245.
28. E. G. Learned-Miller, J. W. Fisher III, and T. W. Lee, "ICA using spacings estimates of entropy," J. Machine Learning Res., vol. 4, pp. 1271-1295, 2003.
29. M. J. McKeown, T. P. Jung, S. Makeig, G. Brown, S. S. Kindermann, T.W. Lee, and T. J. Sejnowski, "Spatially independent activity patterns in functionalMRI data during the stroop color-naming task," Proc. Nat. Acad. Sci. USA, vol. 95, pp. 803-810, Feb. 3, 1998.
30. M. J. McKeown, S. Makeig, G. G. Brown, T. P. Jung, S. S. Kindermann, A. J. Bell, and T. J. Sejnowski, "Analysis of fMRI data by blind separation into independent spatial components," Human Brain Mapping, vol. 6, pp. 160-188, 1998.
31. M. J. McKeown and T. J. Sejnowski, "Independent component analysis of fMRI data: Examining the assumptions," Human Brain Mapping, vol. 6, pp. 368-372, 1998.
32. S. Ikeda and K. Toyama, "Independent component analysis for noisy data-MEG data analysis," Neural Networks, vol. 13, pp. 1063-1074, Dec. 2000.
33. G. D. Brown, S. Yamada, and T. J. Sejnowski, "Independent component analysis at the neural cocktail party," Trends Neurosci., vol. 24, pp. 54-63, Jan. 2001.
34. V. D. Calhoun and T. Adali, "Feature-based fusion of medical imaging data," IEEE Trans. Inf. Technol. Biomedicine, vol. 13, pp. 1-10, 2009, PMC2737598.
35. J. Sui, T. Adali, Q. Yu, and V. D. Calhoun, "A review of multivariate methods for multimodal fusion of brain imaging data," J. Neurosci. Methods, vol. 204, pp. 68-81, 2012.
36. V. D. Calhoun, T. Adali, G. D. Pearlson, and J. J. Pekar, "Spatial and temporal independent component analysis of functionalMRI data containing a pair of task-related waveforms," Human Brain Mapping, vol. 13, pp. 43-53, May 2001.
37. V. D. Calhoun, T. Adali, T. Eichele, and E. Allen, "Decomposing the brain: Components andmodes, networks and nodes," Trends Cogn. Sci, vol. 16, pp. 255-256, 2012.
38. J. E. Cavanaugh, "A large-sample model selection criteria based on Kullback's symmetric divergence," Stat. Prob. Lett., vol. 44, pp. 333-344, 1999.
39. J. Rissanen, "Modeling by the shortest data description," Automatica, vol. 14, pp. 465-471, 1978.
40. G. Schwartz, "Estimating the dimensions of the model," Ann. Stats., vol. 6, pp. 461-464, 1978.
41. M. Wax and T. Kailath, "Detection of signals by information theoretic criteria," IEEE Trans. Acoust. Speech, Signal Process., vol. 33, no. 2, pp. 387-392, Jun. 1985.
42. Y. O. Li, T. Adali, and V. D. Calhoun, "Estimating the number of independent components for functional magnetic resonance imaging data," Human Brain Mapping, vol. 28, pp. 1251-1266, Nov. 2007.
43. V. D. Calhoun, T. Adali, and G. D. Pearlson, "Independent component analysis applied to fMRI data: A generative model for validating results," J. VLSI Signal Proc. Syst., vol. 37, pp. 281-291, 2004.
44. E. Erhardt, S. Rachakonda, E. Bedrick, T. Adali, and V. D. Calhoun, "Comparison ofmulti-subject ICAmethods for analysis of fMRI data," Human Brain Mapping, vol. 12, pp. 2075-2095, 2011.
45. V. J. Schmithorst and S. K. Holland, "Comparison of three methods for generating group statistical inferences from independent component analysis of functionalmagnetic resonance imaging data," J. Magn. Reson. Imag., vol. 19, pp. 365-368, 2004.
46. F. Esposito, T. Scarabino, A. Hyvarinen, J. Himberg, E. Formisano, S. Comani, G. Tedeschi, R. Goebel, E. Seifritz, and S. F. Di, "Independent component analysis of fMRI group studies by self-organizing clustering," Neuroimage, vol. 25, pp. 193-205, 2005.
47. D. R. Langers, "Unbiased group-level statistical assessment of independent component maps by means of automated retrospective matching," Human Brain Mapping, vol. 31, pp. 727-742, May 2010.
48. M. Svensen, F. Kruggel, and H. Benali, "ICA of fMRI group study data," NeuroImage, vol. 16, pp. 551-563, 2002.
49. E. A. Allen, E. Erhardt, Y. Wei, T. Eichele, and V. D. Calhoun, "Capturing inter-subject variability with group independent component analysis of fMRI data: A simulation study," NeuroImage, vol. 59, pp. 4141-4159, 2012.
50. K. A. Celone, V. D. Calhoun, B. C. Dickerson, A. Atri, E. F. Chua, S. Miller, K. DePeau, D. M. Rentz, D. Selkoe, M. S. Albert, and R. A. Sperling, "Alterations in memory networks in mild cognitive impairment and Alzheimer's disease: An independent component analysis," J. Neurosci., vol. 26, pp. 10222-10231, 2006.
51. C. F. Beckmann and S.M. Smith, "Tensorial extensions of independent component analysis for multisubject FMRI analysis," NeuroImage, vol. 25, pp. 294-311, 2005.
52. A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis, Adaptive and Learning Systems for Signal Processing, Communications, and Control. New York: Wiley, 2001.
53. N. Filippini, B. J. MacIntosh, M. G. Hough, G. M. Goodwin, G. B. Frisoni, S. M. Smith, P. M. Matthews, C. F. Beckmann, and C. E. Mackay, "Distinct patterns of brain activity in young carriers of the APOE-epsilon4 allele," Proc. Nat. Acad. Sci. USA, vol. 106, pp. 7209-7214, Apr. 28, 2009.
54. Q. Lin, J. Liu, Y. Zheng, H. Liang, and V. D. Calhoun, "Semi-blind spatial ICA of fMRI using spatial constraints," Human Brain Mapping, vol. 31, 2010.
55. C. F. Beckmann, C. E. Mackay, N. Filippini, and S. M. Smith, "Group comparison of resting-state fMRI data using multi-subject ICA and dual regression," in Proc. Human BrainMapping Conf., San Francisco, CA, 2009.
56. V. D. Calhoun, J. J. Pekar, and G. D. Pearlson, "Alcohol intoxication effects on simulated driving: Exploring alcohol-dose effects on brain activation using functionalMRI," Neuropsychopharmacology, vol. 29, pp. 2097-2017, Nov. 2004.
57. C. F. Beckmann and S. M. Smith, "Probabilistic independent component analysis for functionalmagnetic resonance imaging," IEEE Trans. Med. Imag., vol. 23, pp. 137-152, 2004.
58. M. Jafri, G. D. Pearlson, M. Stevens, and V. D. Calhoun, "A method for functional network connectivity among spatially independent resting-state components in schizophrenia," NeuroImage, vol. 39, pp. 1666-1681, 2008.
59. S. Ma, N. Correa, X. Li, T. Eichele, V. D. Calhoun, and T. Adali, "Automatic identification of functional clusters in fMRI Data using spatial information," IEEE Trans. Biomed. Eng., vol. 58, no. 10, pp. 3406-3417, Oct. 2011.
60. B. B. Biswal, M. Mennes, X. N. Zuo, S. Gohel, C. Kelly, S. M. Smith, C. F. Beckmann, J. S. Adelstein, R. L. Buckner, S. Colcombe, A. M. Dogonowski, M. Ernst, D. Fair, M. Hampson, M. J. Hoptman, J. S. Hyde, V. J. Kiviniemi, R. Kotter, S. J. Li, C. P. Lin, M. J. Lowe, C. Mackay, D. J. Madden,K.H.Madsen, D. S. Margulies,H. S.Mayberg, K. McMahon, C. S. Monk, S. H. Mostofsky, B. J. Nagel, J. J. Pekar, S. J. Peltier, S. E. Petersen, V. Riedl, S. A. Rombouts, B. Rypma, B. L. Schlaggar, S. Schmidt, R. D. Seidler, G. J. Siegle, C. Sorg, G. J. Teng, J. Veijola, A. Villringer, M. Walter, L. Wang, X. C. Weng, S. Whitfield-Gabrieli, P. Williamson, C. Windischberger, Y. F. Zang, H. Y. Zhang, F. X. Castellanos, and M. P. Milham, "Toward discovery science of human brain function," Proc. Nat. Acad. Sci. USA, vol. 107, pp. 4734-4739, Mar. 9, 2010, 2842060.
61. O. Sporns, "The human connectome: A complex network," Ann. N Y Acad. Sci., vol. 1224, pp. 109-125, 2011.
62. V. D. Calhoun, K. A. Kiehl, and G. D. Pearlson, "Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks," Human Brain Mapping, vol. 29, pp. 828-838, 2008.
63. V. D. Calhoun, G. D. Pearlson, P. Maciejewski, and K. A. Kiehl, "Temporal lobe and 'Default' hemodynamic brain modes discriminate between schizophrenia and bipolar disorder," Human Brain Mapping, vol. 29, pp. 1265-1275, 2008.
64. V. D. Calhoun, T. Eichele, and G. Pearlson, "Functional brain networks in schizophrenia: A review," Front. Neurosci., vol. 3, pp. 1-12, 2009.
65. S. J.Broyd, C. Demanuele, S.Debener, S.K. Helps, C. J. James, and E. J. Sonuga-Barke, "Default-mode brain dysfunction inmental disorders: A systematic review," Neurosci. Biobehav. Rev., vol. 33, pp. 279-296, Mar. 2009.
66. V. D. Calhoun, J. Sui, K. A. Kiehl, J. A. Turner, E. A. Allen, and G. D. Pearlson, "Exploring the psychosis functional connectome: Aberrant intrinsic networks in schizophrenia and bipolar disorder," Front. Neuropsychiatric Imag. Stimulation, vol. 2, pp. 1-13, 2012.
67. S. Ma, T. Eichele, N. Correa, V. D. Calhoun, and T. Adali, "Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups," in IEEE Symp. Biomedical Imaging, Chicago, IL, 2011.
68. Q. Yu, S. M. Plis, E. Erhardt, E. A. Allen, J. Sui, K. A. Kiehl, G. D. Pearlson, and V. D. Calhoun, "Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state," Front. Syst. Neurosci., vol. 5, pp. 1-16, 2012.
69. Q.Yu, J. Sui, S. Rachakonda, H. He,W.Gruner, G. D. Pearlson, K. A. Kiehl, and V. D. Calhoun, "Altered topological properties of functional network connectivity in schizophrenia during resting state: A smallworld brain network study," PLoS ONE, vol. 6, pp. 1-12, 2011.
70. Q. Yu, J. Sui, S. Rachakonda, H. He, G. D. Pearlson, and V. D. Calhoun, "Altered small-world brain networks in temporal lobe in patients with schizophrenia performing an auditory oddball task," Front. Syst. Neurosci., vol. 5, pp. 1-13, 2011.
71. V. D. Calhoun, T. Adali, M. Stevens, K. A. Kiehl, and J. J. Pekar, "Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis," NeuroImage, vol. 25, pp. 527-538, 2005.
72. N. Correa, T. Adali, and V. D. Calhoun, "Performance of blind source separation algorithms for fMRI analysis," Magn. Res. Imag., 2006.
73. J. A. Maldjian, WFU Pickatlas [Online]. Available: http://www.fmri. wfubmc.edu/download.htm
74. I. Daubechies, E. Roussos, S. Takerkart, M. Benharrosh, C. Golden, K. D'Ardenne, W. Richter, J. D. Cohen, and J. Haxby, "Independent component analysis for brain fMRI does not select for independence," Proc. Nat. Acad. Sci. USA, vol. 106, pp. 10415-10422, Jun. 30, 2009.
75. X. Li and T. Adali, "Blind spatiotemporal separation of second and/or higher-order correlated sources by entropy rateminimization," in Proc. ICASSP, Dallas, TX, 2010.
76. J. Himberg and A. Hyvarinen, "ICASSO: Software for investigating the reliability of ICA estimates by clustering and visualization," in Proc. NNSP, Toulouse, France, 2003, pp. 259-268.
77. W. Du, H. Li, X.-L. Li, V. D. Calhoun, and T. Adali, "ICA of fMRI data: Performance of three ICA algorithms and the importance of taking correlation information into account," in Proc. IEEE Symp. Biomedical Imaging, Chicago, IL, 2011.
78. C. Sorg, V. Riedl, M. Muhlau, V. D. Calhoun, L. L. A. Drzezga, H. Forstl, A. Kurz, C. Zimmer, and A. Wohlschlager, "Selective changes of resting-state networks in patients at high risk for Alzheimer's disease- An example for profiling functional brain disorders," Proc. Nat. Acad. Sci. USA, vol. 104, pp. 18760-18765, 2007.
79. P. Karunanayaka, K. K. Kim, S. K. Holland, and J. P. Szaflarski, "The effects of left or right hemispheric epilepsy on language networks investigated with semantic decision fMRI task and independent component analysis," Epilepsy Behav., vol. 20, pp. 623-632, Apr. 2011, 3079068.
80. C. Abbott, M. Juarez, T. White, R. L. Gollub, G. D. Pearlson, J. R. Bustillo, J. Lauriello, B. C. Ho, H. J. Bockholt, V. P. Clark, V. Magnotta, and V. D. Calhoun, "Antipsychotic dose and diminished neural modulation: A multi-site fMRI study," Progr. Neuro-Psychopharmacology Biol. Psychiatry, vol. 35, pp. 473-482, 2011.
81. R. M. Hutchison, S. M. Mirsattari, C. K. Jones, J. S. Gati, and L. S. Leung, "Functional networks in the anesthetized rat brain revealed by independent component analysis of resting-state FMRI," J. Neurophysiol., vol. 103, pp. 3398-3406, Jun. 2010.
82. R.M. Hutchison, L. S. Leung, S.M.Mirsattari, J. S. Gati, R. S.Menon, and S. Everling, "Resting-state networks in the macaque at 7 T," Neuroimage, vol. 56, pp. 1546-1555, Jun. 1, 2011.
83. W. Du, V. D. Calhoun, H. Li, S. Ma, T. Eichele, K. A. Kiehl, G. D. Pearlson, and T. Adali, "High classification accuracy for schizophrenia with rest and task fMRI data," Front. Human Neurosci.
84. S. Lui, W. Deng, X. Huang, L. Jiang, X. Ma, H. Chen, T. Zhang, X. Li, D. Li, L. Zou, H. Tang, X. J. Zhou, A. Mechelli, D. A. Collier, J. A. Sweeney, T. Li, and Q. Gong, "Association of cerebral deficits with clinical symptoms in antipsychotic-naive first-episode schizophrenia: An optimized voxel-based morphometry and resting state functional connectivity study," Amer. J. Psychiatry, vol. 166, pp. 196-205, Feb. 2009.
85. C. Chang and G. H. Glover, "Time-frequency dynamics of resting-state brain connectivity measured with fMRI," Neuroimage, vol. 50, pp. 81-98, Mar. 2010, 2827259.
86. U. Sakoglu, G. D. Pearlson, K. A. Kiehl, Y. Wang, A. Michael, and V. D. Calhoun, "A method for evaluating dynamic functional network connectivity and task-modulation: Application to Schizophrenia," MAGMA, vol. 23, pp. 351-366, 2010.
87. S. Sadaghiani, R. Scheeringa, K. Lehongre, B. Morillon, A. L. Giraud, and A. Kleinschmidt, "Intrinsic connectivity networks, alpha oscillations, and tonic alertness:Asimultaneous electroencephalography/ functional magnetic resonance imaging study," J. Neurosci., vol. 30, pp. 10243-10250, 2010.
88. V. Kiviniemi, T. Vire, J. Remes, A. Abou elseoud, T. Starck, O. Tervonen, and J. Nikkinen, "A sliding time-window ICA reveals spatial variability of the default mode network in time," Brain Connectivity, vol. 1, pp. 339-347, 2011.
89. E. Allen, E. Damaraju, S. M. Plis, E. Erhardt, T. Eichele, and V. D. Calhoun, "Tracking whole-brain connectivity dynamics in the restingstate," in Proc. HBM, Beijing, China, 2012.
90. J. Kindler, D. Hubl, W. K. Strik, T. Dierks, and T. Koenig, "Restingstate EEG in schizophrenia: Auditory verbal hallucinations are related to shortening of specific microstates," Clin. Neurophysiol., vol. 122, pp. 1179-1182, Jun. 2011.
91. D. Lehmann, "Multimodal analysis of resting state cortical activity: What does fMRI add to our knowledge of microstates in resting state EEG activity? Commentary to the papers by Britz et al. and Musso et al. in the current issue of NeuroImage," Neuroimage, vol. 52, pp. 1173-1174, Oct. 1, 2010.
92. F. Musso, J. Brinkmeyer, A.Mobascher, T.Warbrick, and G.Winterer, "Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks," Neuroimage, vol. 52, pp. 1149-1161, Oct. 1, 2010.
93. J. D. Power, K. A. Barnes, A. Z. Snyder, B. L. Schlaggar, and S. E. Petersen, "Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion," Neuroimage, vol. 59, pp. 2142-2154, Feb. 1, 2012, 3254728.
94. G. Glover, B. Mueller, T. Van Erp, T. Liu, D. Greve, J. Voyvodic, J. Rasmussen, J. Turner, G. Brown, D. Keator,V.D. Calhoun, H. J. Lee, J. Ford, D. Mathalon, M. Diaz, D. O'Leary, S. Gadde, A. Preda, C. Wible, H. Stern, G. McCarthy, and B. Ozyurt, "Function biomedical informatics research network recommendations for prospective multicenter functional Neuroimaging Studies," J. Magn. Resonance Imag..
95. M. Anderson, T. Adali, and X.-L. Li, "Joint blind source separation of multivariate Gaussian sources: Algorithms and performance analysis," IEEE Trans. Signal Process., vol. 60, no. 4, pp. 1672-1683, 2012.
96. V. D. Calhoun, J. Liu, and T. Adali, "A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data," NeuroImage, vol. 45, pp. 163-172, 2009.
97. S. Meda, J. Gelernter, J. Liu, M. Stevens, V. D. Calhoun, and G. D. Pearlson, "A multivariate parallel ICA approach to investigate relationships between functional neural networks and genetic profiles in Schizophrenia," in Proc. ACNP, Hollywood, CA, 2009.
98. H.Li, N. Correa,P.A.Rodriguez,V.D.Calhoun, andT. Adali, "Application of independent component analysis with adaptive density model to complex-valued fMRI data," IEEE Trans. Biomed. Eng., vol. 58, no. 10, pt. 1, pp. 2794-2803, Oct. 2011.
99. W. Du, H. Li, X.-L. Li, V. Calhoun, and T. Adali, "ICA of fMRI data: Performance of three ICA algorithms and the importance of taking correlation information into account," in Proc. IEEE Int. Symp. Biomedical Imaging, Chicago, IL, Mar.-Apr. 2011.