Optimal design of multi-subject blocked fMRI experiments

NeuroImage

Volumn 56, Issue 3, 2011, Pages 1338-1352

  Maus, Bärbel ^a   van Breukelen, Gerard J P ^b   Goebel, Rainer ^b   Berger, Martijn P F ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Blocked design; Cost function; Number of cycles; Number of subjects; Optimal design

Indexed keywords

ANALYTICAL ERROR; ARTICLE; BUDGET; EXPERIMENTAL DESIGN; FUNCTIONAL MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; STATISTICAL MODEL; VARIANCE;

ALGORITHMS; BUDGETS; DATA INTERPRETATION, STATISTICAL; HEMODYNAMICS; HUMANS; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; RESEARCH; RESEARCH DESIGN; SAMPLE SIZE;

EID: 79955482060     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.03.019     Document Type: Article

References (27)

1. Aguirre G.K., D'Esposito M. Experimental design for brain fMRI. Functional MRI 1999, 369-380. Springer-Verlag, Berlin. C.T.W. Moonen, P.A. Bandettini (Eds.).
2. Atkinson A.C., Donev A.N., Tobias R.D. Optimum Experimental Designs with SAS 2007, Oxford University Press, Oxford.
3. Beckmann C.F., Jenkinson M., Smith S.M. General multi-level linear modelling for group analysis in FMRI, Technical report, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB) http://www.fmrib.ox.ac.uk/analysis/techrep/.
4. Bianciardi M., Cerasa A., Patria F., Hagberg G.E. Evaluation of mixed effects in event-related fMRI studies: impact of first-level design and filtering. Neuroimage 2004, 22:1351-1370.
5. Bullmore E., Brammer M., Williams S.C.R., Rabe-Hesketh S., Janot N., David A., Mellers J., Howard R., Sham P. Statistical methods of estimation and inference for functional MR image analysis. Magn. Reson. Med. 1996, 35:261-277.
6. Chatfield C. The Analysis of Time Series: An Introduction 2004, Chapman and Hall/CRC, Boca Raton, FL. (6th ed).
7. Chein J.M., Schneider W. Designing effective fMRI experiments. The Handbook of Neuropsychology 2003, 299-326. Elsevier, Amsterdam. J. Grafman, I.H. Robertson (Eds.).
8. Dale A.M. Optimal experimental design for event-related fMRI. Hum. Brain Mapp. 1999, 8:109-114.
9. Desmond J.E., Glover G.H. Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analysis. J. Neurosci. Methods 2002, 118:115-128.
10. Friston K.J., Fletcher P., Josephs O., Holmes A.P., Rugg M.D., Turner R. Event-related fMRI: characterizing differential responses. Neuroimage 1998, 7:30-40.
11. Harville D.A. Matrix Algebra from a Statistician's Perspective 1997, Springer-Verlag, New York.
12. Hayasaka S., Peiffer A.M., Hugenschmidt C.E., Laurienti P.J. Power and sample size calculation for neuroimaging studies by non-central random field theory. Neuroimage 2007, 37:721-730.
13. Henson R.N.A. Analysis of fMRI time series. Human Brain Function 2004, 793-822. Elsevier, Amsterdam. R.S.J. Frackowiak, K.J. Friston, C.D. Frith, R.J. Dolan, C.J. Price, S. Zeki, J.T. Ashburner, W.D. Penny (Eds.).
14. Liu T.T., Frank L.R. Efficiency, power, and entropy in event-related fMRI with multiple trial types, Part I: theory. Neuroimage 2004, 21:387-400.
15. Liu T.T., Frank L.R., Wong E.C., Buxton R.B. Detection power, estimation efficiency, and predictability in event-related fMRI. Neuroimage 2001, 13:759-773.
16. Lovell M.C. Seasonal adjustment of economic time series and multiple regression analysis. J. Am. Stat. Assoc. 1963, 58(304):993-1010.
17. Maus B., van Breukelen G.J.P., Goebel R., Berger M.P.F. Optimization of blocked designs in fMRI studies. Psychometrika 2010, 75(2):373-390.
18. Maus B., van Breukelen G.J.P., Goebel R., Berger M.P.F. Robustness of optimal design of fMRI experiments with application of a genetic algorithm. Neuroimage 2010, 49:2433-2443.
19. Moerbeek M., van Breukelen G.J.P., Berger M.P.F. Optimal designs for multilevel studies. Handbook of Multilevel Analysis 2008, 177-205. Springer, New York. J. de Leeuw, E. Meijer (Eds.).
20. Mumford J.A., Nichols T.E. Power calculation for group fMRI studies accounting for arbitrary design and temporal autocorrelation. Neuroimage 2008, 39:261-268.
21. Murphy K., Garavan H. An empirical investigation into the number of subjects required for an event-related fMRI study. Neuroimage 2004, 22:879-885.
22. Penny W.D., Holmes A.P. Random-effects analysis. Human Brain Function 2004, 843-850. Elsevier, Amsterdam, Chapter 42. R.S.J. Frackowiak, K.J. Friston, C.D. Frith, R.J. Dolan, C.J. Price, S. Zeki, J.T. Ashburner, W.D. Penny (Eds.).
23. Schouten H.J.A. Sample size formula with a continuous outcome for unequal group sizes and unequal variances. Stat. Med. 1999, 18:87-97.
24. Seber G.A.F. Linear Regression Analysis 1977, Wiley, New York.
25. Suckling J., Ohlssen D., Andrew C., Johnson G., Williams S.C.R., Graves M., Chen C.-H., Spiegelhalter D., Bullmore E. Components of variance in a multicentre functional MRI study and implications for calculation of statistical power. Hum. Brain Mapp. 2008, 29:1111-1122.
26. Wager T.D., Nichols T.E. Optimization of experimental design in fMRI: a general framework using a genetic algorithm. Neuroimage 2003, 293-309.
27. Worsley K.J., Liao C.H., Aston J., Petre V., Duncan G.H., Morales F., Evans A.C. A general statistical analysis for fMRI data. Neuroimage 2002, 15:1-15.