Efficient designs for event-related functional magnetic resonance imaging with multiple scanning sessions

Communications in Statistics - Theory and Methods

Volumn 38, Issue 16-17, 2009, Pages 3170-3182

  Kao, Ming Hung ^a   Mandal, Abhyuday ^a   Stufken, John ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

Compound design criterion; Cyclic permutation; Design efficiency; Genetic algorithms

Indexed keywords

BRAIN ACTIVITY; COMPLEX NATURE; COMPOUND DESIGN CRITERION; COMPUTATIONAL EFFORT; CYCLIC PERMUTATION; DESIGN EFFICIENCY; EFFICIENT DESIGNS; EFFICIENT EXPERIMENTAL DESIGNS; EVENT RELATED FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIGH COSTS; LEADING TECHNOLOGY; MULTIPLE SCANNING; NOVEL ALGORITHM; PRACTICAL ISSUES; SIMULATION RESULT;

ALGORITHMS; BRAIN; DESIGN; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING;

COMPUTATIONAL EFFICIENCY;

EID: 70249136867     PISSN: 03610926     EISSN: 1532415X     Source Type: Journal    
DOI: 10.1080/03610920902947626     Document Type: Article

References (27)

1. Aguirre, G. K. (2007). Continuous carry-over designs for fMRI. NeuroImage 35:1480-1494.
2. Atkinson, A. C., Donev, A., Tobias, R. (2007). Optimum Experimental Designs, with SAS. Oxford: Oxford University Press.
3. Barker, H. A. (2004). Primitive maximum-length sequences and pseudo-random signals. Trans. Instit. Measure. Control 26:339-348.
4. Brown, M. R. G., Vilis, T., Everling, S. (2008). Isolation of saccade inhibition processes: rapid event-related fMRI of saccades and nogo trials. NeuroImage 39:793-804.
5. Buračas, G. T., Boynton, G. M. (2002). Efficient design of event-related fMRI experiments using m-sequences. NeuroImage 16:801-813.
6. Buxton, R. B., Liu, T. T., Martinez, A., Frank, L. R., Luh, W. M., Wong, E. C. (2000). Sorting out event-related paradigms in fMRI: The distinction between detecting an activation and estimating the hemodynamic response. NeuroImage 11:S457.
7. Cabeza, R., Kingstone, A. (2006). Handbook of Functional Neuroimaging of Cognition. 2nd ed. Cambridge, MA: MIT Press.
8. Culham, J. C. (2006). Functional neuroimaging: Experimental design and analysis. In: Cabeza, R., Kingstone, A., eds. Handbook of Functional Neuroimaging of Cognition. 2nd ed. Cambridge, MA: MIT Press.
9. Dale, A. M. (1999). Optimal experimental design for event-related fMRI. Human Brain Mapp. 8:109-114.
10. Friston, K. J., Zarahn, E., Josephs, O., Henson, R. N. A., Dale, A. M. (1999). Stochastic designs in event-related fMRI. NeuroImage 10:607-619.
11. Godfrey, K. (1993). Perturbation Signals for System Identification. New York: Prentice Hall.
12. Harms, M. P., Melcher, J. R. (2002). Sound repetition rate in the human auditory pathway: representations in the waveshape and amplitude of fMRI activation. J. Neurophysiol. 88:1433-1450.
13. Harms, M. P., Guinan, J. J., Sigalovsky, I. S., Melcher, J. R. (2005). Short-term sound temporal envelope characteristics determine multisecond time patterns of activity in human auditory cortex as shown by fMRI. J. Neurophysiol. 93:210-222.
14. Holland, J. H. (1975). Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. Ann Arbor, MI: University of Michigan Press.
15. Holland, J. H. (1992). Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, Complex Adaptive Systems. 1st ed. Cambridge, MA: MIT Press.
16. Josephs, O., Henson, R. N. A. (1999). Event-related functional magnetic resonance imaging: Modelling, inference and optimization. Philosoph. Trans. Biolog. Sci. 354:1215-1228. (Pubitemid 29400902)
17. Kao, M. H., Mandal, A., Lazar, N., Stufken, J. (2009a). Multi-objective optimal experimental designs for event-related fMRI studies. NeuroImage 44:849-856.
18. Kao, M. H., Mandal, A., Stufken, J. (2009b). Optimal design for event-related functional magnetic resonance imaging considering both individual stimulus effects and pairwise contrasts. Statistics and Applications. Accepted.
19. Lazar, N. A. (2008). The Statistical Analysis of Functional MRI Data. New York: Springer.
20. Liu, T. T. (2004). Efficiency, power, and entropy in event-related fMRI with multiple trial types: Part II: design of experiments. NeuroImage 21:401-413.
21. Liu, T. T., Frank, L. R. (2004). Efficiency, power, and entropy in event-related fMRI with multiple trial types: Part I: theory. NeuroImage 21:387-400.
22. Liu, T. T., Frank, L. R., Wong, E. C., Buxton, R. B. (2001). Detection power, estimation efficiency, and predictability in event-related fMRI. NeuroImage 13:759-773.
23. MacWilliams, F. J., Sloane, N. J. A. (1977). The Theory of Error Correcting Codes. Amsterdam: North-Holland Publishing Company.
24. Rosen, B. R., Buckner, R. L., Dale, A. M. (1998). Event-related functional MRI: past, present, and future. PNAS 95:773-780.
25. Seber, G. A. F. (1977). Linear Regression Analysis. New York: Wiley.
26. Wager, T. D., Nichols, T. E. (2003). Optimization of experimental design in fMRI: A generalframework using a genetic algorithm. NeuroImage 18:293-309.
27. Wang, Y. P., Xue, G., Chen, C. S., Xue, F., Dong, Q. (2007). Neural bases of asymmetric language switching in second-language learners: An ER-fMRI study. NeuroImage 35:862-870.