De Bruijn cycles for neural decoding

NeuroImage

Volumn 56, Issue 3, 2011, Pages 1293-1300

  Aguirre, Geoffrey Karl ^a   Mattar, Marcelo Gomes ^a   Magis Weinberg, Lucía ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Adaptation; BOLD fMRI; Carry over designs; De Bruijn; M sequences; MVPA

Indexed keywords

ALGORITHM; ANTICIPATION; ARTICLE; BOLD SIGNAL; DE BRUIJN CYCLES; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HABITUATION; NEURAL DECODING; NEUROIMAGING; NEUROMODULATION; NEUROSCIENCE; PRIORITY JOURNAL; STIMULUS; STIMULUS COUNTERBALANCE; TEMPORAL FREQUENCY;

ADAPTATION, PHYSIOLOGICAL; ALGORITHMS; BLOOD VESSELS; BRAIN; CEREBROVASCULAR CIRCULATION; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; OXYGEN;

EID: 79955483999     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.02.005     Document Type: Article

References (29)

1. Aguirre G.K., Zarahn E., D'Esposito M. The variability of human, BOLD hemodynamic responses. NeuroImage 1998, 8:360-369.
2. Aguirre G.K. Continuous carry-over designs for fMRI. Neuroimage 2007, 35(4):1480-1494.
3. Bandettini P., et al. Processing strategies for time-course data sets in functional MRI of the human brain. Magnetic resonance in medicine 1993, 30(2):161-173.
4. Buracas G., Boynton J. Efficient design of event-related fMRI experiments using M-sequences. Neuroimage 2002, 16(3 Pt 1):801-813.
5. Brimijoin W.O., O'Neill W.E. Patterned tone sequences reveal non-linear interactions in auditory spectrotemporal receptive fields in the inferior colliculus. Hearing Research 2010.
6. Cooper J., Heitsch C. The discrepancy of the lex-least de Bruijn sequence. Discrete Math. 2010, 310(6-7):1152-1159.
7. Dale A.M., Buckner R.L. Selective averaging of rapidly presented individual trials using fMRI. Hum Brain Mapp 1997, 5(5):329-340.
8. Desimone R. Neural mechanisms for visual memory and their role in attention. Proc. Natl. Acad. Sci. U. S. A. 1996, 93:13494-13499.
9. Drucker D.M., Aguirre G. Different spatial scales of shape similarity representation in lateral and ventral LOC. Cerebral Cortex 2009, 19:2269-2280.
10. Drucker D.M., Kerr W.T., Aguirre G.K. Distinguishing conjoint and independent neural tuning for stimulus features with fMRI adaptation. Journal of Neurophysiology 2009, 101:3310-3324.
11. Finney D.J., Outhwaite A.D. Serially balanced sequences in bioassay. Proc. R. Soc. Lond. B Biol. Sci. 1956, 145:493-507.
12. Friston K.J., Zarahn E., Josephs O., Henson R.N., Dale A.M. Stochastic designs in event-related fMRI. NeuroImage 1999, 10:607-619.
13. Gescheider G.A. Psychophysical scaling. Annu. Rev. Psychol. 1988, 39:169-200.
14. Grill-Spector K., Malach R. fMR-adaptation: a tool for studying the functional properties of human cortical neurons. Acta Psychol. (Amst.) 2001, 107:293-321.
15. Haxby J.V., Gobbini M.I., Furey M.L., Ishai A., Schouten J.L., Pietrini P. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 2001, 293:2425-2430.
16. Henson R.N., Rugg M.D. Neural response suppression, haemodynamic repetition effects, and behavioural priming. Neuropsychologia 2003, 41:263-270.
17. Hsieh Y., Sohn H., Bricker D.L. Generating (n, 2) De Bruijn Sequences with Some Balance and Uniformity Properties. ARS combinatorial 2004, 72:277-286.
18. Arndt J. Matters computational: ideas, algorithms, source code. Section 18.2 "Lex-min de Bruijn sequence from necklaces" 2010, Springer. 1st Edition.
19. Jiang X., Rosen E., Zeffiro T., Vanmeter J., Blanz V., Riesenhuber M. Evaluation of a shape-based model of human face discrimination using fMRI and behavioral techniques. Neuron 2006, 50:159-172.
20. Kahn D.A., et al. Temporally distinct neural coding of perceptual similarity and prototype bias. Journal of Vision 2010, 10(10):12.
21. Kautz W.H., Bounds on directed (d, k) graphs, Theory of cellular logic networks and machines, AFCRL-68-0668 Final Report, 20-28, 1968.
22. Kempton R.A., et al. Optimal change?over designs when carry?over effects are proportional to direct effects of treatments. Biometrika 2001, 88(2):391.
23. Kourtzi Z., Huberle E. Spatiotemporal characteristics of form analysis in the human visual cortex revealed by rapid event-related fMRI adaptation. Neuroimage 2005, 28(2):440-452.
24. Liu T.T. Efficiency, power, and entropy in event-related fMRI with multiple trial types. Part II: design of experiments. Neuroimage 2004, 21(1):401-413.
25. Nonyane B.A.S., Theobald C.M. Design sequences for sensory studies: achieving balance for carry-over and position effects. British Journal of Mathematical and Statistical Psychology. 2008.
26. Karp R.M. Reducibility among combinatorial problems 1972, Complexity of Computer Computations, Plenum Press.
27. Verhoef B.E., et al. Stimulus similarity-contingent neural adaptation can be time and cortical area dependent. J Neurosci 2008, 28(42):10631-10640.
28. Wager T.D., Nichols T.E. Optimization of experimental design in fMRI: a general framework using a genetic algorithm. Neuroimage 2003, 18(2):293-309.
29. Zarahn E., et al. Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions. Neuroimage 1997, 5(3):179-197.