Exploratory structural equation modeling of resting-state fMRI: Applicability of group models to individual subjects

NeuroImage

Volumn 45, Issue 3, 2009, Pages 778-787

  James, G Andrew ^a   Kelley, Mary E ^b   Craddock, R Cameron ^a,c   Holtzheimer, Paul E ^c   Dunlop, Boadie W ^c   Nemeroff, Charles B ^c   Mayberg, Helen S ^c   Hu, Xiaoping P ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b EMORY UNIVERSITY   (United States)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BRAIN MAPPING; CLINICAL ARTICLE; CONTROLLED STUDY; DEPRESSION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; JACKKNIFE TEST; MALE; NEUROIMAGING; PRIORITY JOURNAL; REPRODUCIBILITY; STRUCTURAL EQUATION MODELING;

ADULT; BRAIN; DEPRESSION; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NEURAL PATHWAYS;

EID: 61449136717     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2008.12.049     Document Type: Article

References (45)

1. Agresti A., and Finlay B. Statistical Methods for the Social Sciences. 3rd ed (1997), Prentice Hall, Inc., Upper Saddle River, NJ, USA
2. Anand A., Li Y., Wang Y., Wu J., Gao S., Bukhari L., Mathews V.P., Kalnin A., and Lowe M.J. Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study. Biol. Psychiatry 57 (2005) 1079-1088
3. Boucard A., Marchand A., and Noguès X. Reliability and validity of structural equation modeling applied to neuroimaging data: a simulation study. J. Neurosci. Methods 166 (2007) 278-292
4. Brooks D.J., Ibanez V., Sawle G.V., Quinn N., Lees A.J., Mathias C.J., Bannister R., Marsden C.D., and Frackowiak R.S. Differing patterns of striatal 18F-dopa uptake in Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. Ann. Neurol. 28 (1990) 547-555
5. Büchel C., Coull J.T., and Friston K.J. The predictive value of changes in effective connectivity for human learning. Science 283 (1999) 1538-1541
6. Cabeza R., McIntosh A.R., Tulving E., Nyberg L., and Grady C.L. Age-related differences in effective neural connectivity during encoding and recall. NeuroReport 8 (1997) 3479-3483
7. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 29 (1996) 162-173
8. Craddock R.C., Peltier S., Hu X., and Mayberg H. The Cg25 Resting State Network (2007), International Society for Magnetic Resonance in Medicine Fifteenth Scientific Meeting and Exhibition, Berlin, Germany
9. Craggs J.G., Price D.D., Verne G.N., Perlstein W.M., and Robinson M.M. Functional brain interactions that serve cognitive-affective processing during pain and placebo analgesia. NeuroImage 38 (2007) 720-729
10. Crivello F., Schormann T., Tzourio-Mazoyer N., Roland P.E., Zilles K., and Mazoyer B.M. Comparison of spatial normalization procedures and their impact on functional maps. Hum. Brain Mapp. 16 (2002) 228-250
11. Cudeck R. Analysis of correlation-matrices using covariance structure models. Psychol. Bull. 105 (1989) 317-327
12. Dym C.L., Wood W.H., and Scott M.J. Rank ordering engineering designs: pairwise comparison charts and Borda counts. Res. Eng. Design-Theory Appl. Concurr. Eng. 13 (2002) 236-242
13. Eidelberg D., Moeller J.R., Dhawan V., Sidtis J.J., Ginos J.Z., Strother S.C., Cedarbaum J., Greene P., Fahn S., and Rottenberg D.A. The metabolic anatomy of Parkinson's disease: complementary [18F]fluorodeoxyglucose and [18F]fluorodopa positron emission tomographic studies. Mov. Disord. 5 (1990) 203-213
14. Fletcher P., Büchel C., Josephs O., Friston K., and Dolan R. Learning-related neuronal responses in prefrontal cortex studied with functional neuroimaging. Cereb. Cortex 9 (1999) 168-178
15. Fonteijn H.M., Norris D.G., and Verstraten F.A. Exploring the anatomical basis of effective connectivity models with DTI-based fiber tractography. Int. J. Biomed. Imaging 2008 (2008) 423192
16. Friston K.J., Holmes A.P., Poline J.B., Grasby P.J., Williams S.C., Frackowiak R.S., and Turner R. Analysis of fMRI time-series revisited. NeuroImage 2 (1995) 45-53
17. Fu C.H., McIntosh A.R., Kim J., Chau W., Bullmore E.T., Williams S.C., Honey G.D., and McGuire P.K. Modulation of effective connectivity by cognitive demand in phonological verbal fluency. NeuroImage 30 (2006) 266-271
18. Gemar M.C., Segal Z.V., Mayberg H.S., Goldapple K., and Carney C. Changes in regional cerebral blood flow following mood challenge in drug-free, remitted patients with unipolar depression. Depress. Anxiety 24 (2007) 597-601
19. Goldapple K., Segal Z., Garson C., Lau M., Bieling P., Kennedy S., and Mayberg H. Modulation of cortical-limbic pathways in major depression: treatment-specific effects of cognitive behavior therapy. Arch. Gen. Psychiatry 61 (2004) 34-41
20. Greicius M.D., Krasnow B., Reiss A.L., and Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. U. S. A. 100 (2003) 253-258
21. He G., Tan L.-H., Tang Y., James G.A., Wright P., Eckert M., Fox P.T., and Liu Y. Modulation of neural connectivity during tongue movement and Chinese "pin-yin" speech. Hum. Brain Mapp. 18 (2003) 222-232
22. Heberlein K.A., and Hu X. Simultaneous acquisition of gradient-echo and asymmetric spin-echo for single-shot z-shim: Z-SAGA. Magn. Reson. Med. 51 (2004) 212-216
23. Henry T.R., Mazziotta J.C., Engel Jr. J., Christenson P.D., Zhang J.X., Phelps M.E., and Kuhl D.E. Quantifying interictal metabolic activity in human temporal lobe epilepsy. J. Cereb. Blood Flow Metab. 10 (1990) 748-757
24. Holland S.K., Karunanayaka P., Plante E.J., and Schmithorst V.J. An fMRI-based structural equation model for natural language processing shows age-dependent changes in brain connectivity. J. Acoust. Soc. Am. 123 (2008) 3425
25. Johansen-Berg H., Gutman D.A., Behrens T.E., Matthews P.M., Rushworth M.F., Katz E., Lozano A.M., and Mayberg H.S. Anatomical connectivity of the subgenual cingulate region targeted with deep brain stimulation for treatment-resistant depression. Cereb. Cortex 18 (2008) 1374-1383
26. Jöreskog, K., Sörbon, D., 2006. LISREL. Scientific Software International Inc.
27. Leonard C.M., Kuldau J.M., Breier J.I., Zuffante P.A., Gautier E.R., Heron D.C., Lavery E.M., Packing J., Williams S.A., and DeBose C.A. Cumulative effect of anatomical risk factors for schizophrenia: an MRI study. Biol. Psychiatry 46 (1999) 374-382
28. Lewine R., Renders R., Kirchhofer M., Monsour A., and Watt N. The empirical heterogeneity of first rank symptoms in schizophrenia. Br. J. Psychiatry 140 (1982) 498-502
29. Lozza C., Baron J.C., Eidelberg D., Mentis M.J., Carbon M., and Marié R.M. Executive processes in Parkinson's disease: FDG-PET and network analysis. Hum. Brain Mapp. 22 (2004) 236-245
30. Maruyama G.M. Basics of Structural Equation Modeling (1998), SAGE Publications, Inc., Thousand Oaks, California
31. McIntosh A.R., and Gonzalez-Lima F. Large-scale functional connectivity in associative learning: interrelations of the rat auditory, visual, and limbic systems. J. Neurophysiol. 80 (1998) 3148-3162
32. McIntosh A.R., Grady C.L., Ungerleider L.G., Haxby J.V., Rapoport S.I., and Horwitz B. Network analysis of cortical visual pathways mapped with PET. J. Neurosci. 14 (1994) 655-666
33. Mechelli A., Penny W.D., Price C.J., Gitelman D.R., and Friston K.J. Effective connectivity and intersubject variability: using a multisubject network to test differences and commonalities. NeuroImage 17 (2002) 1459-1469
34. Raykov T., and Marcoulides G.A. A first course in structural equation modeling (2000), Lawrence Erlbaum Associates, Mahwah, NJ
35. Rougemont D., Baron J.C., Collard P., Bustany P., Comar D., and Agid Y. Local cerebral glucose utilisation in treated and untreated patients with Parkinson's disease. J. Neurol. Neurosurg. Psychiatry 47 (1984) 824-830
36. Rowe J.B., Stephan K.E., Friston K., Frackowiak R.S., and Passingham R.E. The prefrontal cortex shows context-specific changes in effective connectivity to motor or visual cortex during the selection of action or colour. Cereb. Cortex 15 (2005) 85-95
37. Seaton B.E., Allen D.N., Goldstein G., Kelley M.E., and van Kammen D.P. Relations between cognitive and symptom profile heterogeneity in schizophrenia. J. Nerv. Ment. Dis. 187 (1999) 414-419
38. Seminowicz D.A., Mayberg H.S., McIntosh A.R., Goldapple K., Kennedy S., Segal Z., and Rafi-Tari S. Limbic-frontal circuitry in major depression: a path modeling metanalysis. NeuroImage 22 (2004) 409-418
39. Solodkin A., Hlustik P., Chen E.E., and Small S.L. Fine modulation in network activation during motor execution and motor imagery. Cereb. Cortex 14 (2004) 1246-1255
40. Symms M.R., Allen P.J., Woermann F.G., Polizzi G., Krakow K., Barker G.J., Fish D.R., and Duncan J.S. Reproducible localization of interictal epileptiform discharges using EEG-triggered fMRI. Phys. Med. Biol. 44 (1999) N161-168 The MathWorks, I., 2007. MatLab
41. Toni I., Rowe J., Stephan K.E., and Passingham R.E. Changes of corticostriatal effective connectivity during visuomotor learning. Cereb. Cortex 12 (2002) 1040-1047
42. Waites A.B., Briellmann R.S., Saling M.M., Abbott D.F., and Jackson G.D. Functional connectivity networks are disrupted in left temporal lobe epilepsy. Ann. Neurol. 59 (2006) 335-343
43. Wright S. The method of path coefficients. Ann. Math. Stat. 5 (1934) 161-215
44. Zhuang J., LaConte S., Peltier S., Zhang K., and Hu X. Connectivity exploration with structural equation modeling: an fMRI study of bimanual motor coordination. NeuroImage 25 (2005) 462-470
45. Zwicker W.S. The voters paradox, spin, and the borda count. Math. Soc. Sci. 22 (1991) 187-227