Group-level impacts of within- and between-subject hemodynamic variability in fMRI

NeuroImage

Volumn 82, Issue , 2013, Pages 433-448

  Badillo, Solveig ^a,b   Vincent, Thomas ^a,c   Ciuciu, Philippe ^a,b  

^a DIF   (France)

^b INRIA SACLAY   (France)

^c INRIA RHÔNE ALPES   (France)

Author keywords

Bayesian inference; FIR modeling; Group level analysis; Hemodynamics; JDE; Parallel imaging

Indexed keywords

ADULT; ANALYTICAL PARAMETERS; ARTICLE; BRAIN BLOOD FLOW; BRAIN FUNCTION; BRAIN REGION; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMIC RESPONSE FUNCTION; HUMAN; HUMAN EXPERIMENT; INFERENTIAL STATISTICS; JOINT DETECTION ESTIMATION APPROACH; MOTOR CORTEX; NORMAL HUMAN; PARIETAL CORTEX; PRIORITY JOURNAL; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; WHOLE BODY SCANNER;

BAYESIAN INFERENCE; FIR MODELING; GROUP-LEVEL ANALYSIS; HEMODYNAMICS; JDE; PARALLEL IMAGING;

ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; FEMALE; HEMODYNAMICS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 84880031040     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.05.100     Document Type: Article

References (55)

1. Afonso D., Sanches J., Lauterbach M.H. Joint Bayesian detection of brain activated regions and local hrf estimation in functional MRI. 33th Proc. IEEE ICASSP. Las Vegas 2008, 437-440. (Apr.).
2. Aguirre G.K., Zarahn E., D'Esposito M. The variability of human BOLD hemodynamic responses. NeuroImage 1998, 8(4):360-369. (Nov.).
3. Bakhous C., Forbes F., Vincent T., Chaari L., Dojat M., Ciuciu P. Adaptive experimental condition selection in event-related fMRI. 9th Proc. IEEE ISBI. Barcelona, Spain 2012, 1755-1758. (May).
4. Bakhous C., Forbes F., Vincent T., Dojat M., Ciuciu P. Variational variable selection to assess experimental condition relevance in event-related fMRI. 10th Proc. IEEE ISBI. San Francisco, CA 2013, 1500-1503. (Apr.).
5. Boynton G.M., Engel S.A., Glover G.H., Heeger D.J. Linear systems analysis of functional magnetic resonance imaging in human V1. J. Neurosci. 1996, 16(13):4207-4221. (July).
6. Casanova R., Ryali S., Serences J., Yang L., Kraft R., Laurienti P., Maldjian J. The impact of temporal regularization on estimates of the BOLD hemodynamic response function: a comparative analysis. NeuroImage 2008, 40(4):1606-1618. (May).
7. Casanova R., Yang L., Hairston W.D., Laurienti P.J., Maldjian J.A. Evaluating the impact of spatio-temporal smoothness constraints on the BOLD hemodynamic response function estimation: an analysis based on Tikhonov regularization. Physiol. Meas. 2009, 30(5):N37-N51. (May).
8. Chaari L., Forbes F., Vincent T., Dojat M., Ciuciu P. Variational solution to the joint detection estimation of brain activity in fMRI. 14th Proc. MICCAI. LNCS 6892 (Part II) 2011, 260-268. Springer Verlag, Berlin Heidelberg, Toronto, Canada, (Sep.).
9. Chaari L., Forbes F., Vincent T., Ciuciu P. Adaptive hemodynamic-informed parcellation of fMRI data in a variational joint detection estimation framework. 15th Proc. MICCAI. LNCS 7512 (Part III) 2012, 180-188. Springer Verlag, Nice, France, (Oct.).
10. Chaari L., Vincent T., Forbes F., Dojat M., Ciuciu P. Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach. IEEE Trans. Med. Imaging 2013, 32(5):821-837. (May).
11. Ciuciu P., Poline J.-B., Marrelec G., Idier J., Pallier C., Benali H. Unsupervised robust non-parametric estimation of the hemodynamic response function for any fMRI experiment. IEEE Trans. Med. Imaging 2003, 22(10):1235-1251. (Oct.).
12. Ciuciu P., Idier J., Roche A., Pallier C. Outlier detection for robust region-based estimation of the hemodynamic response function in event-related fMRI. 2th Proc. IEEE ISBI. Arlington, VA 2004, 392-395. (Apr.).
13. Ciuciu P., Sockeel S., Vincent T., Idier J. Modelling the neurovascular habituation effect on fMRI time series. 34th Proc. IEEE ICASSP. Taipei, Taiwan 2009, 433-436. (Apr.).
14. de Pasquale F., Del Gratta C., Romani G.L. Empirical Markov Chain Monte Carlo Bayesian analysis of MRI data. NeuroImage 2008, 42(1):99-111. (Aug.).
15. Dehaene S., Spelke E., Pinel P., Stanescu R., Tsivkin S. Sources of mathematical thinking: behavioral and brain-imaging evidence. Science 1999, 284:970-974.
16. Dehaene-Lambertz G., Dehaene S., Anton J.-L., Campagne A., Ciuciu P., Dehaene G.P., Denghien I., Jobert A., Le Bihan D., Sigman M., Pallier C., Poline J.-B. Functional segregation of cortical language areas by sentence repetition. Hum. Brain Mapp. 2006, 27:360-371.
17. Flandin G., Penny W.D. Bayesian fMRI data analysis with sparse spatial basis function priors. NeuroImage 2007, 34(3):1108-1125. (Feb.).
18. Friston K. Imaging neuroscience: principles or maps?. Proc. Natl. Acad. Sci. U. S. A. 1998, 95:796-802.
19. Friston K., Penny W., Phillips C., Kiebel S., Hinton G., Ashburner J. Classical and Bayesian inference in neuroimaging: theory. NeuroImage 2002, 16(2):465-483.
20. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 1999, 9:416-429.
21. Gössl C., Auer D.P., Fahrmeir L. Bayesian spatio-temporal modeling of the hemodynamic response function in BOLD fMRI. Biometrics 2001, 57:554-562. (June).
22. Goutte C., Nielsen F.A., Hansen L.K. Modeling the haemodynamic response in fMRI using smooth filters. IEEE Trans. Med. Imaging 2000, 19(12):1188-1201. (Dec.).
23. Handwerker D.A., Ollinger J., D'Esposito M. Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses. NeuroImage 2004, 21:1639-1651. (Apr.).
24. Heeger D., Ress D. What does fMRI tell us about neuronal activity?. Nat. Rev. Neurosci. 2002, 3:142-151.
25. Henson R., Rugg M., Friston K. The choice of basis functions in event-related fMRI. NeuroImage 2001, 13(6):149. (June, Supplement 1).
26. Henson R., Price C., Rugg M., Turner R., Friston K. Detecting latency differences in event-related BOLD responses: application to words versus nonwords and initial versus repeated face presentations. NeuroImage 2002, 15(1):83-97.
27. Holmes A., Blair R., Watson J., Ford I. Nonparametric analysis of statistic images from functional mapping experiments. J. Cereb. Blood Flow Metab. 1996, 16:7-22.
28. Josephs O., Turner R., Friston K.J. Event-related fMRI. Hum. Brain Mapp. 1997, 5:243-248.
29. Lindquist M., Wager T. Validity and power in hemodynamic response modeling: a comparison study and a new approach. Hum. Brain Mapp. 2007, 28(8):764-784. (Aug.).
30. Lindquist M., Meng Loh J., Atlas L., Wager T. Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling. NeuroImage 2009, 45(1 Suppl.):S187-S198. (Mar.).
31. Logothetis N.K. What we can do and what we cannot do with fMRI. Nature 2008, 453(7197):869-878. (June).
32. Logothetis N.K., Wandell B. Interpreting the BOLD signal. Annu. Rev. Physiol. 2004, 66:735-769. (Oct.).
33. Makni S., Ciuciu P., Idier J., Poline J.-B. Joint detection-estimation of brain activity in functional MRI: a multichannel deconvolution solution. IEEE Trans. Signal Process. 2005, 53(9):3488-3502. (Sep.).
34. Makni S., Idier J., Vincent T., Thirion B., Dehaene-Lambertz G., Ciuciu P. A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI. NeuroImage 2008, 41(3):941-969. (July).
35. Marrelec G., Ciuciu P., Pélégrini-Issac M., Benali H. Estimation of the hemodynamic response function in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference. IEEE Trans. Med. Imaging 2004, 23(8):959-967. (Aug.).
36. Mériaux S., Roche A., Dehaene-Lambertz G., Thirion B., Poline J.-B. Combined permutation test and mixed-effect model for group average analysis in fMRI. Hum. Brain Mapp. 2006, 27(5):402-410. (May).
37. Miezin F.M., Maccotta L., Ollinger J.M., Petersen S.E., Buckner R.L. Characterizing the hemodynamic response: effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing. NeuroImage 2000, 11:735-759.
38. Neumann J., Lohmann G. Bayesian second-level analysis of functional magnetic resonance images. NeuroImage 2003, 20(2):1346-1355.
39. Nichols T., Holmes A. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum. Brain Mapp. 2002, 15:1-25.
40. Ogawa S., Lee T., Kay A., Tank D. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc. Natl. Acad. Sci. U. S. A. 1990, 87(24):9868-9872.
41. Penny W.D., Trujillo-Barreto N., Friston K.J. Bayesian fMRI time series analysis with spatial priors. NeuroImage 2005, 23(2):350-362.
42. Pinel P., Thirion B., Mériaux S., Jobert A., Serres J., Le Bihan D., Poline J.-B., Dehaene S. Fast reproducible identification and large-scale databasing of individual functional cognitive networks. BMC Neurosci. 2007, 8(1):91. (Oct.).
43. Pruessmann K.P., Weiger M., Scheidegger M., Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn. Reson. Med. 1999, 42:952-962. (Nov.).
44. Risser L., Vincent T., Forbes F., Idier J., Ciuciu P. Min-max extrapolation scheme for fast estimation of 3D Potts field partition functions. Application to the joint detection-estimation of brain activity in fMRI. J. Sig. Proc. Syst. 2011, 65(3):325-338. (Dec.).
45. Roche A., Mériaux S., Keller M., Thirion B. Mixed-effects statistics for group analysis in fMRI: a nonparametric maximum likelihood approach. NeuroImage 2007, 38:501-510. (Nov.).
46. Steffener J., Tabert M., Reuben A., Stern Y. Investigating hemodynamic response variability at the group level using basis functions. NeuroImage 2010, 49(3):2113-2122. (Feb.).
47. Thirion B., Flandin G., Pinel P., Roche A., Ciuciu P., Poline J.-B. Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets. Hum. Brain Mapp. 2006, 27(8):678-693. (Aug.).
48. Thyreau B., Thirion B., Flandin G., Poline J.-B. Anatomo-functional description of the brain: a probabilistic approach. Proc. 31th Proc. IEEE ICASSP. Vol. V. Toulouse, France 2006, 1109-1112. (May).
49. Vincent T., Ciuciu P., Thirion B. Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI. 5th Proc. IEEE ISBI. Paris, France 2008, 568-571. (May).
50. Vincent T., Risser L., Ciuciu P. Spatially adaptive mixture modeling for analysis of within-subject fMRI time series. IEEE Trans. Med. Imaging 2010, 29(4):1059-1074. (Apr.).
51. Wager T.D., Vazquez A., Hernandez L., Noll D.C. Accounting for nonlinear BOLD effects in fMRI: parameter estimates and a model for prediction in rapid event-related studies. NeuroImage 2005, 25(1):206-218. (Mar.).
52. Wang J., Zhu H., Fan J., Giovanello K., Lin W. Adaptively and spatially estimating hemodynamic response functions in fMRI. 14th Proc. MICCAI. LNCS (Part II) 2011, 269-276. Springer Verlag, Berlin Heidelberg, Toronto, Canada, (Sep.).
53. Woolrich M., Jenkinson M., Brady J., Smith S. Fully Bayesian spatio-temporal modelling of fMRI data. IEEE Trans. Med. Imaging 2004, 23(2):213-231. (Feb.).
54. Xia J., Liang F., Wang Y.M. fMRI analysis through Bayesian variable selection with a spatial prior. 6th Proc. IEEE ISBI. Boston, USA 2009, 714-717. (June).
55. Zarahn E., Aguirre G.K., D'Esposito M. A trial-based experimental design for fMRI. NeuroImage 1997, 6(2):122-138. (Jan.).