A new concept of a unified parameter management, experiment control, and data analysis in fMRI: Application to real-time fMRI at 3 T and 7 T

Journal of Neuroscience Methods

Volumn 175, Issue 1, 2008, Pages 154-162

  Hollmann, M ^a   Monch T ^a   Mulla Osman, S ^a   Tempelmann, C ^a   Stadler, J ^b   Bernarding, J ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b LEIBNIZ INSTITUTE FOR NEUROBIOLOGY   (Germany)

Author keywords

7 T; Adaptive stimulus control; Brain computer interface; High field MRI; Intelligent imaging; Real time fMRI

Indexed keywords

ADULT; ARTICLE; AUTOMATION; BRAIN COMPUTER INTERFACE; COMPUTER PROGRAM; CONTROLLED STUDY; FEEDBACK SYSTEM; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; MALE; MOTOR PERFORMANCE; NEUROIMAGING; PARAMETER; PRIORITY JOURNAL; STIMULUS RESPONSE;

ADULT; BRAIN; DATA INTERPRETATION, STATISTICAL; FEMALE; FINGERS; FUNCTIONAL LATERALITY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MENTAL PROCESSES; OXYGEN; PSYCHOMOTOR PERFORMANCE; RESEARCH DESIGN; SOFTWARE; TIME FACTORS;

EID: 52049088516     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2008.08.013     Document Type: Article

References (31)

1. Aguirre G.K., Zarahn E., and D'Esposito M. The variability of human, BOLD hemodynamic responses. NeuroImage 8 (1998) 360-369
2. Bagarinao E., Matsuo K., Nakai T., and Sato S. Estimation of general linear model coefficients for real-time application. NeuroImage 19 (2003) 422-429
3. COGENT, 2000. Laboratory of neurobiology. London: University College. http://www.vislab.ucl.ac.uk/Cogent2000/index.html.
4. DeCharms R.C., Christoff K., Glover G.H., Pauly J.M., Whitfield S., and Gabrieli J.D. Learned regulation of spatially localized brain activation using real-time fMRI. NeuroImage 21 (2004) 436-443
5. DeCharms R.C., Maeda F., Glover G.H., Ludlov D., Pauly J., Soneji D., et al. Control over brain activation and pain learned by using real-time functional MRI. PNAS 102 51 (2005) 18626-18631
6. Direct RT. Empirisoft, New York; 2004. http://www.empirisoft.com.
7. Eloquence. Intermagnetics, Orlando; 2006. http://www.igc.com.
8. E-Prime Psychology Software Tools. Pittsburgh, PA; 2002. http://www.pstnet.com.
9. Gembris D., Taylor J.G., Schor S., FringsW, Suter D., and Posse S. Functional magnetic resonance imaging in real time (FIRE): sliding-window correlation analysis and reference-vector optimization. Magn Reson Med 43 (2000) 259-268
10. Goebel R. Turbo Brain Voyager; 2002-2006. http://www.brainvoyager.com/TurboBrainVoyager.html.
11. Handwerker D.A., Ollinger J.M., and D'Espposito M. Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses. NeuroImage 21 (2004) 1639-1651
12. Hollmann M., Moench T., Tempelmann C., and Bernarding J. A unified approach for fMRI-measurements used by a new real-time fMRI analysis system. Proc Bildverarbeitung Med (2007) 56-60
13. Matlab-The Language of Technical Computing R2006b. The Mathworks Inc.; 1984-2006. http://www.mathworks.com/products/matlab/.
14. Moench T., Hollmann M., and Bernarding J. Real-time fMRI based activation analysis and stimulus control. Proc SPIE Med Imag 6511 (2007) 651114
15. Nakai T., Bagarinao E., Matsuo K., Ohgamic Y., and Kato C. Dynamic monitoring of brain activation under visual stimulation using fMRI-the advantage of real-time fMRI with sliding window GLM analysis. J Neurosci Methods 157 (2006) 158-167
16. Posse S., Binkofski F., Schneider F., Gembris D., Frings W., and Habel U. A new approach to measure single-event related brain activity using real-time fMRI: feasibility of sensory, motor, and higher cognitive tasks. Hum Brain Mapp 12 (2001) 25-41
17. Posse S., Binkofski F., Gao K., Habel U., Rosenberg D., Moore G., et al. Real-time fMRI of temporolimbic regions detects amygdala activation during single-trial self-induced sadness. NeuroImage 18 (2003) 760-768
18. Posse S., May G., and Villarreal G. Online modeling of the temporal dynamics of the anxiety response in post-traumatic stress disorder (PTSD) using real-time functional mri. Proceedings of the 13th Human Brain Mapping (2007)
19. Presentation-Version 10.0. Neurobehavioral Systems; 2007. http://www.neurobs.com/presentation/.
20. Smyser C., Grabowski T.J., Frank R.J., Haller J.W., and Bolinger L. Real-time multiple linear regression for fMRI supported by time-aware acquisition and processing. Magn Reson Med 45 (2001) 289-298
21. SPM2-Statistical Parametric Mapping Version 2002. UCL; 2002. http://www.fil.ion.ucl.ac.uk/spm/.
22. Stahl C. Software for generating psychological experiments. Exp Psychol 53 3 (2006) 218-232
23. Tipping M.E. Sparse Bayesian learning and the relevance vector machine. J Mach Learn Res 1 3 (2001) 211-244
24. Trinigy 3D Engine 6.01. Trinigy GmbH; 2006. http://www.trinigy.net/.
25. Voyvodic J.T. Real-time fMRI paradigm control, physiology, and behavior combined with near real-time statistical analysis. NeuroImage 10 (1999) 91-106
26. Weiskopf N., Scharnowski F., Veit R., Mathiak K., Goebel R., and Birbaumer N. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI). J Physiol (Paris) 98 (2004) 357-373
27. Weiskopf N., Mathiak K., Bock S.W., Scharnowski F., Veit R., Grodd W., et al. Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE TBE 51 6 (2004) 966-970
28. Xerces-C++ 2.70. XML-Library; 2001-2005. http://xml.apache.org/xerces-c/.
29. XML-Extensible Markup Language Version 1.0. W3C; 1996-2007. http://www.w3.org/XML/.
30. Yoo S.S., Fairneny T., Chen N.K., Choo S.E., Panych L.P., Park H., et al. Brain-computer interface using fMRI: spatial navigation by thoughts. Neuroreport 15 (2004) 1591-1595
31. Yule P., and Cooper R. Express: a web-based technology to support human and computational experimentation. Behav Res Methods Instrum Comput 35 4 (2003) 605-613