Characterization and reduction of cardiac- and respiratory-induced noise as a function of the sampling rate (TR) in fMRI

NeuroImage

Volumn 89, Issue , 2014, Pages 314-330

  Cordes, Dietmar ^a,b   Nandy, Rajesh R ^c   Schafer, Scott ^b   Wager, Tor D ^b  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF COLORADO   (United States)

^c UNIVERSITY OF NORTH TEXAS HEALTH SCIENCE CENTER   (United States)

Author keywords

Cardiac noise; FMRI; Physiological noise; Respiratory noise; TR

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BRAIN STEM; CARDIAC NOISE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEART RATE; HEMODYNAMICS; HIGH FREQUENCY NOISE; HUMAN; HUMAN EXPERIMENT; LOW FREQUENCY NOISE; MALE; NOISE; NOISE REDUCTION; NORMAL HUMAN; PRIORITY JOURNAL; RESPIRATORY FUNCTION; RESPIRATORY NOISE; WAVEFORM; ACCURACY; BOLD SIGNAL; BRAIN REGION; CARDIOPULMONARY HEMODYNAMICS; CONTROLLED STUDY; FILTRATION; FREQUENCY MODULATION; HEART FUNCTION; MATHEMATICAL COMPUTING; NOISE MEASUREMENT; NUCLEAR MAGNETIC RESONANCE SCANNER; PULSE WAVE; RADIOLOGICAL PARAMETERS; SAMPLING; SAMPLING RATE; SIGNAL NOISE RATIO;

CARDIAC NOISE; FMRI; PHYSIOLOGICAL NOISE; RESPIRATORY NOISE; TR;

ADULT; ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; FEMALE; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; RESPIRATORY RATE; YOUNG ADULT;

EID: 84892983168     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.12.013     Document Type: Article

References (36)

1. Beall E.B. Adaptive cyclic physiological noise modeling and correction in functional MRI. J. Neurosci. Methods 2010, 187:216-228.
2. Beall E.B., Lowe M.J. Isolating physiologic noise sources with independently determined spatial measures. NeuroImage 2007, 37(4):1286-1300.
3. Beall E.B., Lowe M.J. The non-separability of physiological noise in functional connectivity MRI with spatial ICA at 3T. J. Neurosci. Methods 2010, 191:263-276.
4. Beckmann C.F., DeLuca M., Devlin J.T., Smith S.M. Investigations into resting-state connectivity using independent component analysis. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2005, 360:1001-1013.
5. Bhattacharyya P.K., Lowe M.J. Cardiac-induced physiologic noise in tissue is a direct observation of cardiac-induced fluctuations. Magn. Reson. Imaging 2004, 22:9-13.
6. Birn M.B., Smith M.A., Jones T.B., Bendettini P.A. The respiration response function: the temporal dynamics of fMRI signal fluctuations related to changes in respiration. NeuroImage 2008, 40:644-654.
7. Biswal B., DeYoe A.E., Hyde J.S. Reduction of physiological fluctuations in fMRI using digital filters. Magn. Reson. Med. 1996, 35:107-113.
8. Breakspear M., Brammer M., Bullmore E., Das P., Williams L. Spatiotemporal wavelet re-sampling for functional neuroimaging data. Hum. Brain Mapp. 2004, 23:1-25.
9. Brooks J.C., Beckmann C.F., Miller K.L., Wise R.G., Porro C.A., Tracey I., Jenkinson M. Physiological noise modeling for spinal functional magnetic resonance imaging studies. NeuroImage 2008, 39:680-692.
10. Bullmore E., Long C., Suckling J., Fadili J., Calvert G., Zelaya F., Carpenter T., Brammer M. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains. Hum. Brain Mapp. 2001, 12:61-78.
11. Chang C., Cunningham J.P., Glover G.H. Influence of heart rate on the BOLD signal: the cardiac response function. NeuroImage 2009, 44:857-869.
12. Chuang K.H., Chen J.H. IMPACT: image-based physiological artifacts estimation and correction technique for functional MRI. Magn. Reson. Med. 2001, 46:344-353.
13. Cordes D., Haughton V.M., Arfanakis K., Carew J.D., Turski P.A., Moritz C.H., Quigley A., Meyerand M.E. Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data. AJNR Am. J. Neuroradiol. 2001, 22:1326-1333.
14. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 1996, 29:162-173.
15. Dagli M.S., Ingeholm J.E., Haxby J.V. Localization of cardiac-induced signal change in fMRI. NeuroImage 1999, 9:407-415.
16. Enzmann D.R., Pelc N.J. Brain motion: Measurement with phase-contrast MR imaging. Radiology 1992, 185(3):653-660.
17. Falahpour M.F., Refai H., Bodurka J. Subject specific BOLD fMRI respiratory and cardiac response functions obtained from global signal. NeuroImage 2013, 72:252-264.
18. Frackowiak R.S.J., editor-in-chief Human Brain Function 2004, Elsevier Science, San Diego. 2nd edition.
19. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 1999, 9:416-429.
20. 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.
21. Greitz D. Cerebrospinal fluid circulation and associated intracranial dynamics. A radiological investigation using MR imaging and radionuclide cisternography. Acta Radiol Suppl. 1993, 386:1-23.
22. Greve D.N., Dale A.M. Spatial noise cancellation for fMRI. NeuroImage 2002, 16:769-1198.
23. Guijt M., Sluiter J.K., Frings-Dresden M.H.W. Test-retest reliability of heart rate variability and respiration rate at rest and during light physical activity in normal subjects. Arch. Med. Res. 2007, 38:113-120.
24. Hu X., Le T.H., Parrish T., Erhard P. Retrospective estimation and correction of physiological fluctuation in functional MRI. Magn. Reson. Med. 1995, 34:201-212.
25. Le T.H., Hu X. Retrospective estimation and correction of physiological artifacts in fMRI by direct extraction of physiological activity from MR data. Magn. Reson. Med. 1996, 35:290-298.
26. Lowe M.J., Mock B.J., Sorenson J.A. Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. NeuroImage 1998, 7:119-132.
27. 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.
28. Malik M. Heart rate variability. Circulation 1996, 93:1043-1065.
29. Montgomery D.C., Runger G.C. Applied Statistics and Probability for Engineers 2003, John Wiley and Sons. 3rd edition.
30. Nocedal J., Wright S.J. Numerical optimization. Springer Series in Operations Research 2006.
31. Perlbarg V., Bellec P., Anton J.-L., Pelegrini-Issac M., Doyon J., Benali H. CORSICA: correction of structured noise in fMRI by automatic identification of ICA components. Magn. Reson. Imaging 2007, 25:35-46.
32. Piche M., Cohen-Adad J., Nejad M.K., Perlbarg V., Xie G., Beaudoin G., Benali H., Rainville P. Characterization of cardiac-related noise in fMRI of the cervical spinal cord. Magn. Reson. Imaging 2009, 27:300-310.
33. Shmueli K., van Gelderen P., de Zwart J.A., Horovitz S.G., Fukunaga M., Jansma J.M., Duyn J.H. Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal. NeuroImage 2007, 38:306-320.
34. Silvermann B.W. Density Estimation for Statistics and Data Analysis 1986, Chapman and Hall, New York, NY, USA.
35. Tong Y., Frederick B. Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain. NeuroImage 2010, 53:553-564.
36. Welch P. The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust. 1967, 15(2):70.