A conditional Granger causality model approach for group analysis in functional magnetic resonance imaging

Magnetic Resonance Imaging

Volumn 29, Issue 3, 2011, Pages 418-433

  Zhou, Zhenyu ^a,b,c   Wang, Xunheng ^a,b   Klahr, Nelson J ^c   Liu, Wei ^a   Arias, Diana ^a   Liu, Hongzhi ^a   von Deneen, Karen M ^c   Wen, Ying ^a   Lu, Zuhong ^b   Xu, Dongrong ^a   Liu, Yijun ^c  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b Southeast University   (China)

^c UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

Author keywords

Effective connectivity; FMRI; Granger causality; Group analysis

Indexed keywords

ADULT; AMYGDALOID NUCLEUS; ARTICLE; BRAIN FUNCTION; BRAIN REGION; CINGULATE GYRUS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; EMOTION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HABITUATION; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; INTERMETHOD COMPARISON; KERNEL METHOD; NORMAL HUMAN; PRIORITY JOURNAL; STATISTICAL MODEL; TEMPORAL CORTEX; TIME SERIES ANALYSIS;

ADULT; ALGORITHMS; DATA INTERPRETATION, STATISTICAL; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, VISUAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VISUAL CORTEX;

EID: 79952538940     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2010.10.008     Document Type: Article

References (75)

1. Goebel R., Roebroeck A., Kim D.S., Formisano E. Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magn Reson Imaging 2003, 21:1251-1261.
2. Logothetis N.K. The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal. Philos Trans R Soc Lond B Biol Sci 2002, 357(1424):1003-1037.
3. Roebroeck A., Formisano E., Goebel R. Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage 2005, 25:230-242.
4. Londei A., D'Ausilio A., Basso D., Sestieri C., Gratta C.D., Romani G.L., et al. Brain network for passive word listening as evaluated with ICA and Granger causality. Brain Res Bull 2007, 72:284-292.
5. Friston K.J. Functional and effective connectivity in neuroimaging: a synthesis. Hum Brain Mapp 1995, 2:56-78.
6. Duann J.R., Ide J.S., Luo X., Li C.S. Functional connectivity delineates distinct roles of the inferior frontal cortex and presupplementary motor area in stop signal inhibition. J Neurosci 2009, 29:10171-10179.
7. Kaas A., Weigelt S., Roebroeck A., Kohler A., Muckli L. Imagery of a moving object: the role of occipital cortex and human MT/V5+. Neuroimage 2010, 49:794-804.
8. Sato J.R., Junior E.A., Takahashi D.Y., de Maria, Felix M., Brammer M.J., et al. A method to produce evolving functional connectivity maps during the course of an fMRI experiment using wavelet-based time-varying Granger causality. Neuroimage 2006, 31:187-196.
9. Stilla R., Deshpande G., LaConte S., Hu X., Sathian K. Posteromedial parietal cortical activity and inputs predict tactile spatial acuity. J Neurosci 2007, 27:11091-11102.
10. Stevens M.C., Pearlson G.D., Calhoun V.D. Changes in the interaction of resting-state neural networks from adolescence to adulthood. Hum Brain Mapp 2009, 30:2356-2366.
11. Uddin L.Q., Kelly A.M., Biswal B.B., Xavier Castellanos F., Milham M.P. Functional connectivity of default mode network components: correlation, anticorrelation, and causality. Hum Brain Mapp 2009, 30:625-637.
12. Londei A., D'Ausilio A., Basso D., Belardinelli M.O. A new method for detecting causality in fMRI data of cognitive processing. Cogn Process 2006, 7:42-52.
13. Kayser A.S., Sun F.T., D'Esposito M. A comparison of granger causality and coherency in fMRI-based analysis of the motor system. Hum Brain Mapp 2009, 30:3475-3494.
14. Hemmelmann D., Ungureanu M., Hesse W., Wüstenberg T., Reichenbach J.R., Witte O.W., et al. Modelling and analysis of time-variant directed interrelations between brain regions based on BOLD-signals. Neuroimage 2009, 45:722-737.
15. Demirci O., Stevens M.C., Andreasen N.C., Michael A., Liu J., White T., et al. Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls. Neuroimage 2009, 46:419-431.
16. Havlicek M., Jan J., Calhoun V.D., Brazdil M. Extended time-frequency Granger causality for evaluation of functional network connectivity in event-related FMRI data. Conf Proc IEEE Eng Med Biol Soc 2009, 1:4440-4443.
17. Sato J.R., Takahashi D.Y., Arcuri S.M., Sameshima K., Morettin P.A., Baccalá L.A. Frequency domain connectivity identification: an application of partial directed coherence in fMRI. Hum Brain Mapp 2009, 30:452-461.
18. Abler B., Roebroeck A., Goebel R., Höse A., Schönfeldt-Lecuona C., Hole G., et al. Investigating directed influences between activated brain areas in a motor-response task using fMRI. Magn Reson Imaging 2006, 24:181-185.
19. Sridharan D., Levitin D.J., Menon V. A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc Natl Acad Sci 2008, 105:12569-12574.
20. Chen H., Yang Q., Liao W., Gong Q., Shen S. Evaluation of the effective connectivity of supplementary motor areas during motor imagery using Granger causality mapping. Neuroimage 2009, 47:1844-1853.
21. Zhou Z., Chen Y., Ding M., Wright P., Lu Z., Liu Y. Analyzing brain networks with PCA and conditional Granger causality. Human Brain Mapp 2009, 30:2197-2206.
22. Deshpande G., LaConte S., James G.A., Peltier S., Hu X. Multivariate Granger causality analysis of fMRI data. Hum Brain Mapp 2009, 30:1361-1373.
23. Friston K.J. Dynamic causal modeling and Granger causality. Comments on: the identification of interacting networks in the brain using fMRI: model selection, causality and deconvolution. Neuroimage 2009, [Epub ahead of print].
24. Liao W., Mantini D., Zhang Z., Pan Z., Ding J., Gong Q., et al. Evaluating the effective connectivity of resting state networks using conditional Granger causality. Biol Cybern 2010, 102(1):57-69.
25. Zhou Z., Ding M., Chen Y., Wright P., Lu Z., Liu Y. Detecting directional influence in fMRI connectivity analysis using PCA based Granger causality. Brain Res 2009, 1289:22-29.
26. Florin E., Gross J., Pfeifer J., Fink G.R., Timmermann L. The effect of filtering on Granger causality based multivariate causality measures. Neuroimage 2010, 50:577-587.
27. Graaf d.e.T.A., Jacobs C., Roebroeck A., Sack A.T. FMRI effective connectivity and TMS chronometry: complementary accounts of causality in the visuospatial judgment network. PLoS One 2009, 4:e8307.
28. Graham S., Phua E., Soon C.S., Oh T., Au C., Shuter B., et al. Role of medial cortical, hippocampal and striatal interactions during cognitive set-shifting. Neuroimage 2009, 45:1359-1367.
29. Jabbi M., Keysers C. Inferior frontal gyrus activity triggers anterior insula response to emotional facial expressions. Emotion 2008, 6:775-780.
30. Peterson B.S., Potenza M.N., Wang Z., Zhu H., Martin A., Marsh R., et al. An FMRI study of the effects of psychostimulants on default-mode processing during Stroop task performance in youths with ADHD. Am J Psychiatry 2009, 166:1286-1294.
31. Upadhyay J., Silver A., Knaus T.A., Lindgren K.A., Ducros M., Kim D.S., et al. Effective and structural connectivity in the human auditory cortex. J Neurosci 2008, 28:3341-3349.
32. Witt S.T., Meyerand M.E. The effects of computational method, data modeling, and TR on effective connectivity results. Brain Imaging Behav 2009, 3:220-231.
33. Wright P., Liu Y. Neutral faces activate the amygdala during the identity matching. NeuroImage 2006, 29:628-636.
34. Shehzad Z., Kelly A.M., Reiss P.T., Gee D.G., Gotimer K., Uddin L.Q., et al. The resting brain: unconstrained yet reliable. Cereb Cortex 2009, 19:2209-2229.
35. Greicius M.D., Srivastava G., Reiss A.L., Menon V. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proc Natl Acad Sci 2004, 101:4637-4642.
36. 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, 14:140-151.
37. Calhoun V.D., Adali T. Unmixing fMRI with independent component analysis. IEEE Eng Med Biol Mag 2006, 25:79-90.
38. 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:S163-S172.
39. Grubera P., Meyer-Bäsea A., Foo A., Theis F.J. ICA, kernel methods and nonnegativity: new paradigms for dynamical component analysis of fMRI data. Eng Appl Artif Intell 2009, 22:497-504.
40. Bach F.R., Jordan M. Kernel independent component analysis. J Mach Learn Res 2002, 1-48.
41. Marinazzo D., Liao W., Chen H., Stramaglia S. Nonlinear connectivity by Granger causality. Neuroimage 2010, [Epub ahead of print].
42. Wiener N. The theory of prediction. Modern mathematics for engineers 1956, McGraw-Hill, New York. E.F. Beckenbach (Ed.).
43. Granger C.W.J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 1969, 37:424-438.
44. Bressler S.L., Seth A.K. Wiener-Granger causality: a well established methodology. NeuroImage 2010, 10.1016/j.neuroimage.2010.02.059.
45. Geweke J. Measures of conditional linear dependence and feedback between time series. J Am Stat Assoc 1984, 79:907-915.
46. Granger C.W.J. Testing for causality: a personal viewpoint. J Econ Dyn Control 1980, 2:329-352.
47. Geweke J. Measurement of linear dependence and feedback between multiple time series. J Am Stat Assoc 1982, 77:304-313.
48. Wilson G.T. The factorization of matricial spectral densities. SIAM J Appl Math 1972, 23:420-426.
49. Dhamala M., Rangarajan G., Ding M. Analyzing information flow in brain networks with nonparametric Granger causality. NeuroImage 2008, 41:354-362.
50. Kaminski M., Ding M., Truccolo W.A., Bressler S.L. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biol Cybern 2001, 85:145-157.
51. Chen Y., Bressler S.L., Ding M. Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. J Neurosci Methods 2006, 150:228-237.
52. Rogers B.P., Katwal S.B., Morgan V.L., Asplund C.L., Gore J.C. Functional MRI and multivariate autoregressive models. Magn Reson Imaging 2010, 28(8):1058-1065.
53. Nichols T.E., Holmes A.P. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp 2001, 15:1-25.
54. Wright C.I., Fischer H., Whalen P.J., McInerney S.C., Shin L.M., Rauch S.L. Differential prefrontal cortex and amygdala habituation to repeatedly presented emotional stimuli. NeuroReport 2001, 12:379-383.
55. Buckner R.L., Andrews-Hanna J.R., Schacter D.L. The brain's default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci 2008, 1124:1-38.
56. Lowe M.J., Mock B.J., Sorenson J.A. Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage 1998, 7:119-132.
57. Eckert M.A., Kamdar N.V., Chang C.E., Beckmann C.F., Greicius M.D., Menon V. A cross-modal system linking primary auditory and visual cortices: evidence from intrinsic fMRI connectivity analysis. Hum Brain Mapp 2008, 29:848-857.
58. Jafri M.J., Pearlson G.D., Stevens M., Calhoun V.D. A method for functional network connectivity among spatially independent resting-state components in schizophrenia. Neuroimage 2008, 39:1666-1681.
59. Mantini D., Corbetta M., Perrucci M.G., Romani G.L., Del Gratta C. Large-scale brain networks account for sustained and transient activity during target detection. Neuroimage 2009, 44:265-274.
60. Vincent J.L., Snyder A.Z., Fox M.D., Shannon B.J., Andrews J.R., Raichle M.E., et al. Coherent spontaneous activity identifies a hippocampal-parietal memory network. J Neurophysiol 2006, 96:3517-3531.
61. Buckner R.L., Carroll D.C. Self-projection and the brain. Trends Cogn Sci 2007, 11:49-57.
62. Londei A., D'Ausilio A., Basso D., Sestieri C., Gratta C.D., Romani G.L., et al. Sensory-motor brain network connectivity for speech comprehension. Hum Brain Mapp 2010, 31(4):567-580.
63. Drevets W.C. Functional neuroimaging studies of depression: the anatomy of melancholia. Annu. Rev. Med. 1998, 49:341-361.
64. Kennedy S.H., Evans K.R., Kruger S., Mayberg H.S., Meyer J.H., McCann S., et al. Changes in regional brain glucose metabolism measured with positron emission tomography after paroxetine treatment of major depression. Am. J. Psychiatry. 2001, 158:899-905.
65. Mayberg H.S., Brannan S.K., Tekell J.L., Silva J.A., Mahurin R.K., McGinnis S., et al. Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response. Biol. Psychiatry. 2000, 48:830-843.
66. Mayberg H.S., Brannan S.K., Mahurin R.K., Jerabek P.A., Brickman J.S., Tekell J.L., et al. Cingulate function in depression: a potential predictor of treatment response. Neuroreport 1997, 8:1057-1061.
67. Brannan S.K., Mayberg H.S., McGinnis S. Cingulate metabolism predicts treatment response: a replication. Biol Psychiatry 2000, 47:107S.
68. Saxena S., Brody A.L., Ho M.L., Zohrabi N., Maidment K.M., Baxter L.R. Differential brain metabolic predictors of response to paroxetine in obsessive-compulsive disorder versus major depression. Am J Psychiatry 2003, 160(3):522-532.
69. Mayberg H.S. Modulating dysfunctional limbic-cortical circuits in depression: towards development of brain-based algorithms for diagnosis and optimised treatment. Br Med Bull 2003, 65:193-207.
70. Vogt B.A. Pain and emotion interactions in subregions of the cingulate gyrus. Neuroscience 2005, 6:533-544.
71. Johansen-Berg H., Behrens T.E.J., Matthews P.M., Katz E., Metwalli N., Lozano A. Connectivity of a subgenual cingulate target for treatment-resistant depression 2006.
72. Ochsner N.K., Gross J.J. The cognitive control of emotion. Trends Cogn Sci 2005, 5:242-249.
73. Zhang H., Wang S., Xing J., Liu B., Ma Z., Yang M., et al. Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimer's disease. Behav Brain Res 2009, 197:103-108.
74. Gusnard D.A., Akbudak E., Shulman G.L., Raichle M.E. Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proc Natl Acad Sci U S A 2001, 98:4259-4264.
75. Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., Shulman G.L. A default mode of brain function. Acad Sci U S A 2001, 98:676-682.