Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia

NeuroImage

Volumn 66, Issue , 2013, Pages 119-132

  Sui, Jing ^a   He, Hao ^a,b   Pearlson, Godfrey D ^c,d   Adali, Tülay ^e   Kiehl, Kent A ^a,b   Yu, Qingbao ^a   Clark, Vince P ^a,b   Castro, Eduardo ^a,b   White, Tonya ^f,g   Mueller, Bryon A ^f   Ho, Beng C ^h   Andreasen, Nancy C ^h   Calhoun, Vince D ^a,b,e  

^a Lovelace Biomedical and Environmental Research Institute   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c INSTITUTE OF LIVING   (United States)

^d YALE UNIVERSITY   (United States)

^e UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^f UNIVERSITY OF MINNESOTA   (United States)

^g ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

^h UNIVERSITY OF IOWA   (United States)

Author keywords

DTI; FMRI; MCCA+jICA; Multimodal fusion; N way fusion; Schizophrenia; SMRI

Indexed keywords

ADULT; ANTERIOR THALAMIC RADIATION; ARTICLE; BRAIN SIZE; CEREBELLUM; CLINICAL ARTICLE; COMPUTER SIMULATION; CONTROLLED STUDY; CUNEUS; DATA ANALYSIS; DIFFUSION TENSOR IMAGING; DISEASE DURATION; FEMALE; FORCEPS MINOR; FRACTIONAL ANISOTROPY; FRONTAL LOBE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HUMAN; JOINT INDEPENDENT COMPONENT ANALYSIS; MALE; MOTOR CORTEX; MULTIMODAL FUSION; MULTISET CANONICAL CORRELATION ANALYSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PARIETAL LOBE; PRIORITY JOURNAL; PYRAMIDAL TRACT; SCHIZOPHRENIA; SUPERIOR TEMPORAL GYRUS; TEMPORAL LOBE; THALAMUS; VISUAL CORTEX; WHITE MATTER; ANISOTROPY; BRAIN; COMPUTER ASSISTED DIAGNOSIS; PATHOLOGY; PROCEDURES;

ANISOTROPY; BRAIN; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; SCHIZOPHRENIA;

EID: 84870023802     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.10.051     Document Type: Article

References (69)

1. Anand A., Li Y., Wang Y., Lowe M.J., Dzemidzic M. Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression. Psychiatry Res. 2009, 171(3):189-198.
2. Andreasen N.C. Scale for the Assessment of Positive Symptoms: SAPS 1984, University of Iowa, Iowa City, IA, (movementdisorders.org).
3. Andreasen N.C. The Scale for the Assessment of Negative Symptoms (SANS): conceptual and theoretical foundations. Br. J. Psychiatry 1989, (Suppl. 7):49-58.
4. Andreasen N.C., Olsen S. Negative v positive schizophrenia. Definition and validation. Arch. Gen. Psychiatry 1982, 39(7):789-794.
5. Ashburner J., Friston K.J. Unified segmentation. NeuroImage 2005, 26(3):839-851.
6. Badcock J.C., Michiel P.T., Rock D. Spatial working memory and planning ability: contrasts between schizophrenia and bipolar I disorder. Cortex 2005, 41(6):753-763.
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. Borgwardt S.J., McGuire P.K., Aston J., Gschwandtner U., Pfluger M.O., Stieglitz R.D., Radue E.W., Riecher-Rossler A. Reductions in frontal, temporal and parietal volume associated with the onset of psychosis. Schizophr. Res. 2008, 106(2-3):108-114.
9. Brenner C.A., Krishnan G.P., Vohs J.L., Ahn W.Y., Hetrick W.P., Morzorati S.L., O'Donnell B.F. Steady state responses: electrophysiological assessment of sensory function in schizophrenia. Schizophr. Bull. 2009, 35(6):1065-1077.
10. Calhoun V.D., Adali T. Feature-based fusion of medical imaging data. IEEE Trans. Inf. Technol. Biomed. 2009, 13(5):711-720.
11. Calhoun V.D., Kiehl K.A., Liddle P.F., Pearlson G.D. Aberrant localization of synchronous hemodynamic activity in auditory cortex reliably characterizes schizophrenia. Biol. Psychiatry 2004, 55(8):842-849.
12. Calhoun V.D., Adali T., Giuliani N.R., Pekar J.J., Kiehl K.A., Pearlson G.D. Method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data. Hum. Brain Mapp. 2006, 27(1):47-62.
13. Calhoun V.D., Adali T., Liu J. A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data. Conference Proceedings of IEEE EMBS 2006, 1:3672-3675.
14. 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.
15. Calhoun V.D., Allen E. Extracting intrinsic functional networks with feature-based group independent component analysis. Psychometrika 2012, 10.1007/s11336-012-9291-3.
16. Camara E., Rodriguez-Fornells A., Munte T.F. Microstructural brain differences predict functional hemodynamic responses in a reward processing task. J. Neurosci. 2010, 30(34):11398-11402.
17. Cannon T.D., Thompson P.M., van Erp T.G., Toga A.W., Poutanen V.P., Huttunen M., Lonnqvist J., Standerskjold-Nordenstam C.G., Narr K.L., Khaledy M., et al. Cortex mapping reveals regionally specific patterns of genetic and disease-specific gray-matter deficits in twins discordant for schizophrenia. Proc. Natl. Acad. Sci. U. S. A. 2002, 99(5):3228-3233.
18. Chen K., Reiman E.M., Huan Z., Caselli R.J., Bandy D., Ayutyanont N., Alexander G.E. Linking functional and structural brain images with multivariate network analyses: a novel application of the partial least square method. NeuroImage 2009, 47(2):602-610.
19. Correa N.M., Li Y.O., Adali T., Calhoun V.D. Fusion of fMRI, sMRI, and EEG Data Using Canonical Correlation Analysis ICASSP 2009 2009, 385-388. IEEE, Taipei, Taiwan.
20. Correa N.M., Adali T., Li Y.O., Calhoun V.D. Canonical correlation analysis for data fusion and group inferences: examining applications of medical imaging data. IEEE Signal Process. Mag. 2010, 27(4):39-50.
21. Danos P. Pathology of the thalamus and schizophrenia-an overview. Fortschr. Neurol. Psychiatr. 2004, 72(11):621-634.
22. Demirci O., Clark V.P., Magnotta V.A., Andreasen N.C., Lauriello J., Kiehl K.A., Pearlson G.D., Calhoun D.C. A review of challenges in the use of fMRI for disease classification/characterization and a projection pursuit application from multi-site fMRI schizophrenia study. Brain Imaging Behav. 2008, 2(3):207-226.
23. Douaud G., Smith S., Jenkinson M., Behrens T., Johansen-Berg H., Vickers J., James S., Voets N., Watkins K., Matthews P.M., et al. Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. Brain 2007, 130(Pt 9):2375-2386.
24. Erdfelder E., Faul F., Buchner A. GPOWER: a general power analysis program. Behav. Res. Methods Instrum. Comput. 1996, 28:1-11.
25. First M.B., Spitzer R.L., Gibbon M., Williams J.B. Structured Clinical Interview for DSM-IV Axis I Disorders 1995, Biometrics Research Department, New York State Psychiatric Institute, New York.
26. Freire L., Roche A., Mangin J.F. What is the best similarity measure for motion correction in fMRI time series?. IEEE Trans. Med. Imaging 2002, 21(5):470-484.
27. Friston K.J., Ashburner J., Frith C.D., Poline J.P., Heather J.D., Frackowiak R.S. Spatial registration and normalization of images. Hum. Brain Mapp. 1995, 2:165-189.
28. Groves A.R., Beckmann C.F., Smith S.M., Woolrich M.W. Linked independent component analysis for multimodal data fusion. NeuroImage 2011, 54(3):2198-2217.
29. Hamilton L.S., Altshuler L.L., Townsend J., Bookheimer S.Y., Phillips O.R., Fischer J., Woods R.P., Mazziotta J.C., Toga A.W., Nuechterlein K.H., et al. Alterations in functional activation in euthymic bipolar disorder and schizophrenia during a working memory task. Hum. Brain Mapp. 2009, 30(12):3958-3969.
30. Ho B.C., Andreasen N.C., Ziebell S., Pierson R., Magnotta V. Long-term antipsychotic treatment and brain volumes: a longitudinal study of first-episode schizophrenia. Arch. Gen. Psychiatry 2011, 68(2):128-137.
31. Hua K., Zhang J., Wakana S., Jiang H., Li X., Reich D.S., Calabresi P.A., Pekar J.J., van Zijl P.C., Mori S. Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. NeuroImage 2008, 39(1):336-347.
32. Hua K., Oishi K., Zhang J., Wakana S., Yoshioka T., Zhang W., Akhter K.D., Li X., Huang H., Jiang H., et al. Mapping of functional areas in the human cortex based on connectivity through association fibers. Cereb. Cortex 2009, 19(8):1889-1895.
33. James C.J., Hesse C.W. Independent component analysis for biomedical signals. Physiol. Meas. 2005, 26(1):R15-R39.
34. Kettenring J.R. Canonical analysis of several sets of variables. Biometrika 1971, 58:433-451.
35. Kim D.I., Sui J., Rachakonda S., White T., Manoach D.S., Clark V.P., Ho B.C., Schulz S.C., Calhoun V.D. Identification of imaging biomarkers in schizophrenia: a coefficient-constrained independent component analysis of the mind multi-site schizophrenia study. Neuroinformatics 2010, 8(4):213-229.
36. Kyriakopoulos M., Perez-Iglesias R., Woolley J.B., Kanaan R.A., Vyas N.S., Barker G.J., Frangou S., McGuire P.K. Effect of age at onset of schizophrenia on white matter abnormalities. Br. J. Psychiatry 2009, 195(4):346-353.
37. Lewis D.A. Is there a neuropathology of schizophrenia? Recent findings converge on altered thalamic-prefrontal cortical connectivity. Neuroscientist 2000, 6:208-218.
38. Li Y.O., Adali T., Calhoun V.D. Estimating the number of independent components for functional magnetic resonance imaging data. Hum. Brain Mapp. 2007, 28(11):1251-1266.
39. Li Y.O., Adali T., Wang W., Calhoun V.D. Joint blind source separation by multi-set canonical correlation analysis. IEEE Trans. Signal Process. 2009, 57(10):3918-3929.
40. Lin F.H., McIntosh A.R., Agnew J.A., Eden G.F., Zeffiro T.A., Belliveau J.W. Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies. NeuroImage 2003, 20(2):625-642.
41. Lui S., Li T., Deng W., Jiang L., Wu Q., Tang H., Yue Q., Huang X., Chan R.C., Collier D.A., et al. Short-term effects of antipsychotic treatment on cerebral function in drug-naive first-episode schizophrenia revealed by "resting state" functional magnetic resonance imaging. Arch. Gen. Psychiatry 2010, 67(8):783-792.
42. Makinen J., Miettunen J., Isohanni M., Koponen H. Negative symptoms in schizophrenia: a review. Nord. J. Psychiatry 2008, 62(5):334-341.
43. Meda S.A., Jagannathan K., Gelernter J., Calhoun V.D., Liu J., Stevens M.C., Pearlson G.D. A pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia. NeuroImage 2010, 53(3):1007-1015.
44. Michael A.M., Baum S.A., White T., Demirci O., Andreasen N.C., Segall J.M., Jung R.E., Pearlson G., Clark V.P., Gollub R.L., et al. Does function follow form?: methods to fuse structural and functional brain images show decreased linkage in schizophrenia. NeuroImage 2010, 49(3):2626-2637.
45. Olesen P.J., Nagy Z., Westerberg H., Klingberg T. Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a fronto-parietal network. Brain Res. Cogn. Brain Res. 2003, 18(1):48-57.
46. Plis S.M., Weisend M.P., Damaraju E., Eichele T., Mayer A., Clark V.P., Lane T., Calhoun V.D. Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Comput. Biol. Med. 2011, 41(12):1156-1165.
47. Premkumar P., Kumari V., Corr P.J., Sharma T. Frontal lobe volumes in schizophrenia: effects of stage and duration of illness. J. Psychiatr. Res. 2006, 40(7):627-637.
48. Premkumar P., Fannon D., Kuipers E., Cooke M.A., Simmons A., Kumari V. Association between a longer duration of illness, age and lower frontal lobe grey matter volume in schizophrenia. Behav. Brain Res. 2008, 193(1):132-139.
49. Ribolsi M., Mori F., Magni V., Codeca C., Kusayanagi H., Monteleone F., Rubino I.A., Siracusano A., Bernardi G., Centonze D., et al. Impaired inter-hemispheric facilitatory connectivity in schizophrenia. Clin. Neurophysiol. 2010, 122(3):512-517.
50. Rykhlevskaia E., Gratton G., Fabiani M. Combining structural and functional neuroimaging data for studying brain connectivity: a review. Psychophysiology 2008, 45(2):173-187.
51. Schlosser R.G., Nenadic I., Wagner G., Gullmar D., von Consbruch K., Kohler S., Schultz C.C., Koch K., Fitzek C., Matthews P.M., et al. White matter abnormalities and brain activation in schizophrenia: a combined DTI and fMRI study. Schizophr. Res. 2007, 89(1-3):1-11.
52. Schroder J., Essig M., Baudendistel K., Jahn T., Gerdsen I., Stockert A., Schad L.R., Knopp M.V. Motor dysfunction and sensorimotor cortex activation changes in schizophrenia: a study with functional magnetic resonance imaging. NeuroImage 1999, 9(1):81-87.
53. Segall J.M., Turner J.A., van Erp T.G., White T., Bockholt H.J., Gollub R.L., Ho B.C., Magnotta V., Jung R.E., McCarley R.W., et al. Voxel-based morphometric multisite collaborative study on schizophrenia. Schizophr. Bull. 2009, 35(1):82-95.
54. Skudlarski P., Jagannathan K., Anderson K., Stevens M.C., Calhoun V.D., Skudlarska B.A., Pearlson G. Brain connectivity is not only lower but different in schizophrenia: a combined anatomical and functional approach. Biol. Psychiatry 2010, 68(1):61-69.
55. 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., et al. Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. U. S. A. 2009, 106(31):13040-13045.
56. Sui J., Adali T., Pearlson G.D., Calhoun V.D. An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques. NeuroImage 2009, 46(1):73-86.
57. Sui J., Adali T., Pearlson G., Yang H., Sponheim S.R., White T., Calhoun V.D. A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia. NeuroImage 2010, 51(1):123-134.
58. Sui J., Pearlson G., Caprihan A., Adali T., Kiehl K.A., Liu J., Yamamoto J., Calhoun V.D. Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+joint ICA model. NeuroImage 2011, 57(3):839-855.
59. Sui J., Yu Q., He H., Pearlson G.D., Calhoun V.D. A selective review of multimodal fusion methods in schizophrenia. Front. Hum. Neurosci. 2012, 6:27.
60. Sussmann J.E., Lymer G.K., McKirdy J., Moorhead T.W., Maniega S.M., Job D., Hall J., Bastin M.E., Johnstone E.C., Lawrie S.M., et al. White matter abnormalities in bipolar disorder and schizophrenia detected using diffusion tensor magnetic resonance imaging. Bipolar Disord. 2009, 11(1):11-18.
61. Thomos N., Boulgouris N.V., Strintzis M.G. Optimized transmission of JPEG2000 streams over wireless channels. IEEE Trans. Image Process. 2006, 15(1).
62. White T., O'Leary D., Magnotta V., Arndt S., Flaum M., Andreasen N.C. Anatomic and functional variability: the effects of filter size in group fMRI data analysis. NeuroImage 2001, 13(4):577-588.
63. White T., Magnotta V.A., Bockholt H.J., Williams S., Wallace S., Ehrlich S., Mueller B.A., Ho B.C., Jung R.E., Clark V.P., et al. Global white matter abnormalities in schizophrenia: a multisite diffusion tensor imaging study. Schizophr. Bull. 2009, 37(1):222-232.
64. Williams L.M., Das P., Harris A.W., Liddell B.B., Brammer M.J., Olivieri G., Skerrett D., Phillips M.L., David A.S., Peduto A., et al. Dysregulation of arousal and amygdala-prefrontal systems in paranoid schizophrenia. Am. J. Psychiatry 2004, 161(3):480-489.
65. Wolf D.H., Turetsky B.I., Loughead J., Elliott M.A., Pratiwadi R., Gur R.E., Gur R.C. Auditory oddball fMRI in schizophrenia: association of negative symptoms with regional hypoactivation to novel distractors. Brain Imaging Behav. 2008, 2(2):132-145.
66. Wu L., Eichele T., Calhoun V.D. Reactivity of hemodynamic responses and functional connectivity to different states of alpha synchrony: a concurrent EEG-fMRI study. NeuroImage 2010, 52(4):1252-1260.
67. Yang H., Liu J., Sui J., Pearlson G.D., Calhoun V.D. A hybrid machine learning method for fusing fMRI and genetic data: combining both improves classification of schizophrenia. Front. Hum. Neurosci. 2010, 4:192.
68. Zhang H., Liu L., Wu H., Fan Y. Feature Selection and SVM Classification of Multiple Modality Images for Predicting MCI 2012, OHBM Annual Meeting 2012, June 10-14, Beijing, China.
69. Zhou S.Y., Suzuki M., Takahashi T., Hagino H., Kawasaki Y., Matsui M., Seto H., Kurachi M. Parietal lobe volume deficits in schizophrenia spectrum disorders. Schizophr. Res. 2007, 89(1-3):35-48.