The non-separability of physiologic noise in functional connectivity MRI with spatial ICA at 3T

Journal of Neuroscience Methods

Volumn 191, Issue 2, 2010, Pages 263-276

  Beall, Erik B ^a   Lowe, Mark J ^a  

^a LERNER RESEARCH INSTITUTE   (United States)

Author keywords

Default mode; Default mode network; Functional connectivity; Functional magnetic resonance imaging; Group ICA; Independent component analysis; Physiologic correction; Physiologic noise; Resting state networks

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BREATHING RATE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEART RATE; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; MALE; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; REPRODUCIBILITY; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS;

ADULT; ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEURAL PATHWAYS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77955773690     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2010.06.024     Document Type: Article

References (45)

1. Abou-Elseoud A., Starck T., Remes J., Nikkinen J., Tervonen O., Kiviniemi V. The effect of model order selection in group PICA. Hum Brain Mapp 2010.
2. Arfanakis K., Cordes D., Haughton V.M., Carew J.D., Meyerand M.E. Independent component analysis applied to diffusion tensor MRI. Magn Reson Med 2002, 47:354-363.
3. Beall E.B. Adaptive cyclic physiologic noise modeling and correction in functional MRI. J Neurosci Methods 2010, 187:216-228.
4. Beall E.B., Lowe M.J. An analysis of the robustness of the RVT correction in the presence of non-white noise processes in fMRI data. ISMRM 16th scientific meeting 2008.
5. Beall E.B., Lowe M.J. Isolating physiologic noise sources with independently determined spatial measures. Neuroimage 2007, 37:1286-1300.
6. 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.
7. Beckmann C.F., Smith S.M. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging 2004, 23:137-152.
8. Beckmann C.F., Smith S.M. Tensorial extensions of independent component analysis for multisubject FMRI analysis. Neuroimage 2005, 25:294-311.
9. Bell A.J., Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput 1995, 7:1129-1159.
10. 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.
11. 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.
12. Birn R.M., Murphy K., Bandettini P.A. The effect of respiration variations on independent component analysis results of resting state functional connectivity. Hum Brain Mapp 2008, 29:740-750.
13. Biswal B., Yetkin F.Z., Haughton V.M., Hyde J.S. Functional connectivity in the motor cortex of resting human brain. Magn Reson Med 1995, 34:537-541.
14. Biswal B.B., Ulmer J.L. Blind source separation of multiple signal sources of fMRI data sets using independent component analysis. J Comput Assist Tomogr 1999, 23:265-271.
15. Calhoun V.D., Adali T., Pearlson G.D., Pekar J.J. Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. Hum Brain Mapp 2001, 13:43-53.
16. Chang C., Glover G.H. Effects of model-based physiological noise correction on default mode network anti-correlations and correlations. Neuroimage 2009, 47:1448-1459.
17. Corfield D.R., Murphy K., Josephs O., Fink G.R., Frackowiak R.S., Guz A., et al. Cortical and subcortical control of tongue movement in humans: a functional neuroimaging study using fMRI. J Appl Physiol 1999, 86:1468-1477.
18. Correa N., Adali T., Calhoun V.D. Performance of blind source separation algorithms for fMRI analysis using a group ICA method. Magn Reson Imaging 2007, 25:684-694.
19. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 1996, 29:162-173.
20. Dagli M.S., Ingeholm J.E., Haxby J.V. Localization of cardiac-induced signal change in fMRI. Neuroimage 1999, 9:407-415.
21. Damoiseaux J.S., Rombouts S.A., Barkhof F., Scheltens P., Stam C.J., Smith S.M., et al. Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci USA 2006, 103:13848-13853.
22. De Luca M., Beckmann C.F., De Stefano N., Matthews P.M., Smith S.M. fMRI resting state networks define distinct modes of long-distance interactions in the human brain. Neuroimage 2006, 29:1359-1367.
23. Fox M.D., Zhang D., Snyder A.Z., Raichle M.E. The global signal and observed anticorrelated resting state brain networks. J Neurophysiol 2009, 101:3270-3283.
24. 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.
25. Himberg J., Hyvarinen A., Esposito F. Validating the independent components of neuroimaging time series via clustering and visualization. Neuroimage 2004, 22:1214-1222.
26. Hong B., Pearlson G.D., Calhoun V.D. Source density-driven independent component analysis approach for fMRI data. Hum Brain Mapp 2005, 25:297-307.
27. 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.
28. Hyvarinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Networks 1999, 10:626-634.
29. Jezzard P., LeBihan D., Cuenod D., Pannier L., Prinster A., Turner R. An investigation of the contribution of physiological noise in human functional MRI studies at 1.5tesla and 4tesla. Proceedings of the 12th SMRM annual meeting 1993, 1392.
30. Kruger G., Glover G.H. Physiological noise in oxygenation-sensitive magnetic resonance imaging. Magn Reson Med 2001, 46:631-637.
31. 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.
32. Lowe M.J., Sorenson J.A. Spatially filtering functional magnetic resonance imaging data. Magnetic Resonance in Medicine 1997, 37:723-729.
33. 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.
34. McKeown M.J., Jung T.P., Makeig S., Brown G., Kindermann S.S., Lee T.W., et al. Spatially independent activity patterns in functional MRI data during the stroop color-naming task. Proc Natl Acad Sci USA 1998, 95:803-810.
35. Murphy K., Birn R.M., Handwerker D.A., Jones T.B., Bandettini P.A. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?. Neuroimage 2009, 44:893-905.
36. 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.
37. 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.
38. Starck T., Remes J., Nikkinen J., Tervonen O., Kiviniemi V. Correction of low-frequency physiological noise from the resting state BOLD fMRI-Effect on ICA default mode analysis at 1.5T. J Neurosci Methods 2009.
39. Thesen S., Heid O., Mueller E., Schad L.R. Prospective acquisition correction for head motion with image-based tracking for real-time fMRI. Magn Reson Med 2000, 44:457-465.
40. Triantafyllou C., Hoge R.D., Krueger G., Wiggins C.J., Potthast A., Wiggins G.C., et al. Comparison of physiological noise at 1.5T, 3T and 7T and optimization of fMRI acquisition parameters. Neuroimage 2005, 26:243-250.
41. Weisskoff R.M., Baker J., Belliveau J., Davis T.L., Kwong K.K., Cohen M.S., Rosen B.R. Power spectrum analysis of functionally-weighted MR data: what's in the noise? Society of Magnetic Resonance in Medicine 12th annual meeting 1992, 7.
42. Woolrich M.W., Behrens T.E., Beckmann C.F., Smith S.M. Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data. IEEE Trans Med Imaging 2005, 24:1-11.
43. Xiong J., Parsons L.M., Gao J.H., Fox P.T. Interregional connectivity to primary motor cortex revealed using MRI resting state images. Hum Brain Mapp 1999, 8:151-156.
44. Yang Z., LaConte S., Weng X., Hu X. Ranking and averaging independent component analysis by reproducibility (RAICAR). Hum Brain Mapp 2008, 29:711-725.
45. Zhang H., Ma S.Y., Zhang Y.J., Zuo X.N., Zang Y.F., CZ Z. Concatenating-order independent group ICA: MOI-GICA. The 15th annual meeting of the Organization for Human Brain Mapping 2009.