The impact of physiologic noise correction applied to functional MRI of pain at 1.5 and 3.0 T

Magnetic Resonance Imaging

Volumn 29, Issue 6, 2011, Pages 819-826

  Vogt, Keith M ^a,b   Ibinson, James W ^c   Schmalbrock, Petra ^a   Small, Robert H ^a,b  

^a THE OHIO STATE UNIVERSITY WEXNER MEDICAL CENTER   (United States)

^b Ohio State University   (United States)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

End tidal CO2; Functional MRI; Pain; Physiologic noise correction; RETROICOR

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BRAIN BLOOD FLOW; COMPARATIVE STUDY; CONTROLLED STUDY; END TIDAL CARBON DIOXIDE TENSION; FEMALE; FOURIER TRANSFORMATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFORMATION PROCESSING; MALE; PAIN; PHYSIOLOGIC NOISE CORRECTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIGNAL NOISE RATIO; SIGNAL PROCESSING; TRANSCUTANEOUS NERVE STIMULATION; VARIANCE;

ADULT; ALGORITHMS; BRAIN MAPPING; CARBON DIOXIDE; CEREBROVASCULAR CIRCULATION; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PAIN; PAIN MEASUREMENT; TRANSCUTANEOUS ELECTRIC NERVE STIMULATION;

EID: 79959248236     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2011.02.017     Document Type: Article

References (33)

1. Kruger G., Glover G.H. Physiological noise in oxygenation-sensitive magnetic resonance imaging. Magn Reson Med 2001, 46:631-637.
2. Kruger G., Kastrup A., Glover G.H. Neuroimaging at 1.5 T and 3.0 T: comparison of oxygenation-sensitive magnetic resonance imaging. Magn Reson Med 2001, 45:595-604.
3. Glover G.H., Li T.Q., Ress D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn Reson Med 2000, 44:162-167.
4. Lund T.E., Madsen K.H., Sidaros K., Luo W.L., Nichols T.E. Non-white noise in fMRI: does modelling have an impact?. Neuroimage 2006, 29:54-66.
5. Birn R.M., Diamond J.B., Smith M.A., Bandettini P.A. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. Neuroimage 2006, 31:1536-1548.
6. Shmueli K., van Gelderen P., de Zwart J.A., Horovitz S.G., Fukunaga M., Jansma J.M., et al. Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal. Neuroimage 2007, 38:306-320.
7. Cohen E.R., Ugurbil K., Kim S.G. Effect of basal conditions on the magnitude and dynamics of the blood oxygenation level-dependent fMRI response. J Cereb Blood Flow Metab 2002, 22:1042-1053.
8. Liu Y.J., Juan C.J., Chen C.Y., Wang C.Y., Wu M.L., Lo C.P., et al. Are the local blood oxygen level-dependent (BOLD) signals caused by neural stimulation response dependent on global BOLD signals induced by hypercapnia in the functional MR imaging experiment? Experiments of long-duration hypercapnia and multilevel carbon dioxide concentration. Am J Neuroradiol 2007, 28:1009-1014.
9. Wise R.G., Ide K., Poulin M.J., Tracey I. Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal. Neuroimage 2004, 21:1652-1664.
10. Birn R.M., Smith M.A., Jones T.B., Bandettini P.A. The respiration response function: the temporal dynamics of fMRI signal fluctuations related to changes in respiration. Neuroimage 2008, 40:644-654.
11. de Zwart J.A., van Gelderen P., Kellman P., Duyn J.H. Application of sensitivity-encoded echo-planar imaging for blood oxygen level-dependent functional brain imaging. Magn Reson Med 2002, 48:1011-1020.
12. Preibisch C., Pilatus U., Bunke J., Hoogenraad F., Zanella F., Lanfermann H. Functional MRI using sensitivity-encoded echo planar imaging (SENSE-EPI). Neuroimage 2003, 19:412-421.
13. Smith S.M., Jenkinson M., Woolrich M.W., Beckmann C.F., Behrens T.E., Johansen-Berg H., et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004, 23(Suppl 1):S208-S219.
14. Smith S.M. Fast robust automated brain extraction. Hum Brain Mapp 2002, 17:143-155.
15. Jenkinson M., Bannister P., Brady M., Smith S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002, 17:825-841.
16. Woolrich M.W., Ripley B.D., Brady M., Smith S.M. Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage 2001, 14:1370-1386.
17. Handwerker D.A., Ollinger J.M., D'Esposito M. Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses. Neuroimage 2004, 21:1639-1651.
18. Beckmann C.F., Jenkinson M., Smith S.M. General multilevel linear modeling for group analysis in FMRI. Neuroimage 2003, 20:1052-1063.
19. Woolrich M.W., Behrens T.E., Beckmann C.F., Jenkinson M., Smith S.M. Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage 2004, 21:1732-1747.
20. Worsley K.J., Evans A.C., Marrett S., Neelin P. A three-dimensional statistical analysis for CBF activation studies in human brain. J Cereb Blood Flow Metab 1992, 12:900-918.
21. Jones T.B., Bandettini P.A., Birn R.M. Integration of motion correction and physiological noise regression in fMRI. Neuroimage 2008, 42:582-590.
22. Birn R.M., Murphy K., Handwerker D.A., Bandettini P.A. FMRI in the presence of task-correlated breathing variations. Neuroimage 2009, 47:1092-1104.
23. Ibinson J.W., Small R.H. The physiologic response to painful electric nerve stimulation used for FMRI. Anesthesiology 2004, 101:A1059.
24. Moltner A., Holzl R., Strian F. Heart rate changes as an autonomic component of the pain response. Pain 1990, 43:81-89.
25. Razavi M., Grabowski T.J., Vispoel W.P., Monahan P., Mehta S., Eaton B., et al. Model assessment and model building in fMRI. Hum Brain Mapp 2003, 20:227-238.
26. Krasnow B., Tamm L., Greicius M.D., Yang T.T., Glover G.H., Reiss A.L., et al. Comparison of fMRI activation at 3 and 1.5 T during perceptual, cognitive, and affective processing. Neuroimage 2003, 18:813-826.
27. Triantafyllou C., Hoge R.D., Krueger G., Wiggins C.J., Potthast A., Wiggins G.C., et al. Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters. Neuroimage 2005, 26:243-250.
28. Bianciardi M., Fukunaga M., van Gelderen P., Horovitz S.G., de Zwart J.A., Shmueli K., et al. Sources of functional magnetic resonance imaging signal fluctuations in the human brain at rest: a 7 T study. Magn Reson Imaging 2009, 27:1019-1029.
29. Wise R.G., Pattinson K.T., Bulte D.P., Chiarelli P.A., Mayhew S.D., Balanos G.M., et al. Dynamic forcing of end-tidal carbon dioxide and oxygen applied to functional magnetic resonance imaging. J Cereb Blood Flow Metab 2007, 27:1521-1532.
30. Chang C., Glover G.H. Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI. Neuroimage 2009, 47:1381-1393.
31. Tieleman A., Vandemaele P., Seurinck R., Deblaere K., Achten E. Comparison between functional magnetic resonance imaging at 1.5 and 3 tesla - Effect of increased field strength on 4 paradigms used during presurgical work-up. Invest Radiol 2007, 42:130-138.
32. Meindl T., Born C., Britsch S., Reiser M., Schoenberg S. Functional BOLD MRI: comparison of different field strengths in a motor task. Eur Radiol 2008, 18:1102-1113.
33. Apkarian A.V., Bushnell M.C., Treede R.D., Zubieta J.K. Human brain mechanisms of pain perception and regulation in health and disease. Eur J Pain 2005, 9:463-484.