Functional connectivity analysis of fMRI data using parameterized regions-of-interest

NeuroImage

Volumn 54, Issue 1, 2011, Pages 410-416

  Weeda, Wouter D ^a   Waldorp, Lourens J ^a   Grasman, Raoul P P P ^a   van Gaal, Simon ^a   Huizenga, Hilde M ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BRAIN CORTEX; BRAIN FUNCTION; CONTROLLED STUDY; EFFECT SIZE; FUNCTIONAL ASSESSMENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NEUROIMAGING; PRIORITY JOURNAL;

BAYES THEOREM; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS;

EID: 77957955462     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.07.022     Document Type: Article

References (26)

1. Aron A.R., Durston S., Eagle D.M., Logan G.D., Stinear C.M., Stuphorn V. Converging evidence for a fronto-basal-ganglia network for inhibitory control of action and cognition. J. Neurosci. 2007, 27:11860-11864.
2. Bilodeau M., Brenner D. Theory of Multivariate Statistics 1999, Springer-Verlag, New York, NY.
3. Boynton G.M., Engel S.A., Glover G.H., Heeger D.J. Linear systems analysis of functional magnetic resonance imaging in human V1. J. Neurosci. 1996, 16:4207-4221.
4. Chambers C.D., Garavan H., Bellgrove M.A. Insights into the neural basis of response inhibition from cognitive and clinical neuroscience. Neurosci. Biobehav. Rev. 2009, 33:631-646.
5. Eichler M. A graphical model for evaluating effective connectivity in neural systems. Philosophical Transactions of the Royal Society B 2005, 360:953-967.
6. Fisher R.A. Distribution of the values of the correlation coefficient in samples form an indefinitely large population. Biometrika 1915, 10:507-521.
7. Fox M.D., Snyder A.Z., Zacks J.M., Raichle M.E. Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nat. Neurosci. 2006, 9:23-25.
8. Friston K.J., Harrison L., Penny W. Dynamic causal modelling. Neuroimage 2003, 19:1273-1302.
9. Friston K.J., Rothstein P., Geng J.J., Sterzer P., Henson R.N. A critique of functional localizers. Neuroimage 2006, 30:1077-1087.
10. Genovese C.R., Lazar N.A., Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage 2002, 15:870-878.
11. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. Neuroimage 1999, 9:416-429.
12. Gonçalves M.S., Hall D.A. Connectivity analysis with structural equation modeling: an example of voxel selection. Neuroimage 2003, 20:1455-1467.
13. Huettel S.A., Singerman J.D., McCarthy G. The effects of aging upon the hemodynamic response measured by functional MRI. Neuroimage 2001, 13:161-175.
14. Hunton D.L., Miezin F.M., Buckner R.L., van Mier H.I., Raichle M.E., Petersen S.E. An assessment of functional-anatomical variability in neuroimaging studies. Hum. Brain Mapp. 1996, 4:122-139.
15. McIntosh A.R., Gonzalez-Lima F. Structural equation modeling and its application to network analysis in functional brain imaging. Hum. Brain Mapp. 1994, 2:2-22.
16. Myers J.L., Well A.D. Research Design and Statistical Analysis 2003, Lawrence Erlbaum Associates, Mahwah, NJ.
17. Nichols T., Hayasaka S. Controlling the familywise error rate in functional neuroimaging: a comparative review. Stat. Meth. Med. Res. 2003, 12:419-446.
18. R Development Core Team R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria ISBN 3-900051-07-0. http://www.R-project.org.
19. Ramsey J.D., Hanson S.J., Hanson C., Halchenko Y.O., Poldrack R.A., Glymour C. Six problems for causal inference from fMRI. Neuroimage 2010, 49:1545-1558.
20. Rissman J., Gazzaley A., D'Esposito M. Measuring functional connectivity during distinct stages of a cognitive task. Neuroimage 2004, 23:752-763.
21. Smith S.M., Jenkinson M., Woolrich M.W., Beckmann C.F., Behrens T.E.J., Johansen-Berg H., Bannister P.R., De Luca M., Drobnjak I., Flitney D.E., Niazy R., Saunders J., Vickers J., Zhang Y., De Stefano N., Brady J.M., Matthews P.M. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004, 23:208-219.
22. Spearman C. On the proof and measurement of association between two things. Am. J. Psychol. 1904, 15:72-101.
23. van Gaal S., Ridderinkhof K.R., Scholte H.S., Lamme V.A.F. Unconscious activation of the prefrontal No-Go network. J. Neurosci. 2010, 30:4143-4150.
24. Waldorp L.J. Robust and unbiased variance of GLM coefficients for misspecified autocorrelation and hemodynamic response models in fMRI. Int. J. Biomed. Imaging 2009, 2009. 11 pages.
25. Weeda W.D., Waldorp L.J., Christoffels I., Huizenga H.M. Activated region fitting: a robust high-power method for fMRI analysis using parameterized regions of activation. Hum. Brain Mapp. 2009, 30:2595-2605.
26. White H. Maximum likelihood estimation of misspecified models. Econometrica 1982, 50:1-25.