Validity and power in hemodynamic response modeling: A comparison study and a new approach

Human Brain Mapping

Volumn 28, Issue 8, 2007, Pages 764-784

  Lindquist, Martin A ^a,b   Wager, Tor D ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b MC 4409 ^*  (United States)

Author keywords

Analysis; Brain imaging; Delay; fMRI; Hemodynamic response; Latency; Magnitude; Neuroimaging methods; Timing

Indexed keywords

ARTICLE; COGNITION; COMPARATIVE STUDY; EVOKED RESPONSE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; NEUROIMAGING; PRIORITY JOURNAL; SIMULATION; STATISTICAL MODEL; VALIDITY;

BRAIN; BRAIN MAPPING; CEREBRAL ARTERIES; CEREBROVASCULAR CIRCULATION; COMPUTER SIMULATION; HUMANS; MAGNETIC RESONANCE IMAGING; NONLINEAR DYNAMICS; REACTION TIME; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 34547880428     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/hbm.20310     Document Type: Article

References (42)

1. Aguirre GK, Zarahn E, D'Esposito M (1998): The variability of human, BOLD hemodynamic responses. Neuroimage 8:360-369.
2. Aguirre GK, Singh R, D'Esposito M (1999): Stimulus inversion and the responses of face and object-sensitive cortical areas. Neuroreport 10:189-194.
3. Bellgowan PS, Saad ZS, Bandettini PA (2003): Understanding neural system dynamics through task modulation and measurement of functional MRI amplitude, latency, and width. Proc Natl Acad Sci U S A 100:1415-1419.
4. Birn RM, Saad ZS, Bandettini PA (2001): Spatial heterogeneity of the nonlinear dynamics in the fMRI BOLD response. Neuroimage 14: 817-826.
5. Buckner RL (2003): The hemodynamic inverse problem: making inferences about neural activity from measured MRI signals. Proc Natl Acad Sci U S A 100:2177-2179.
6. Buxton RB, Wong EC, Frank LR (1998): Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn Reson Med 39:855-864.
7. Calhoun VD, Stevens MC, Pearlson GD, Kiehl KA (2004): fMRI analysis with the general linear model: removal of latency-induced amplitude bias by incorporation of hemodynamic derivative terms. Neuroimage 22:252-257.
8. Ciuciu P, Poline J-B, Marrelec G, Idier J, Pallier Ch, Benali H (2003): Unsupervised robust non-parametric estimation of the hemodynamic response function for any fMRI experiment. IEEE Trans Med Imag 22:1235-1251.
9. Dale AM, Buckner RL (1997): Selective averaging of rapidly presented individual trials using fMRI. Hum Brain Mapp 5:329-340.
10. Formisano E, Goebel R (2003): Tracking cognitive processes with functional MRI mental chronometry. Curr Opin Neurobiol 13: 174-181.
11. Formisano E, Linden DE, Di Salle F, Trojano L, Esposito F, Sack AT, Grossi D, Zanella FE, Goebel R (2002): Tracking the mind's image in the brain. I. Time-resolved fMRI during visuospatial mental imagery. Neuron 35:185-194.
12. Friston KJ, Josephs O, Rees G, Turner R (1998): Nonlinear event-related responses in fMRI. Magn Reson Med 39:41-52.
13. Glover GH (1999): Deconvolution of impulse response in event-related BOLD fMRI. Neuroimage 9:416-429.
14. Goutte C, Nielsen FA, Hansen LK (2000): Modeling the haemodynamic response in fMRI using smooth FIR filters. IEEE Trans Med Imag 19:1188-1201.
15. Handwerker DA, Ollinger JM, D'Esposito M (2004): Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses. Neuroimage 21:1639-1651.
16. Henson RN, Price CJ, Rugg MD, Turner R, Friston KJ (2002): Detecting latency differences in event-related BOLD responses: application to words versus nonwords and initial versus repeated face presentations. Neuroimage 15:83-97.
17. Hernandez L, Badre D, Noll D, Jonides J (2002): Temporal sensitivity of event-related fMRI. Neuroimage 17:1018-1026.
18. Jain RK (1985): Ridge regression and its application to medical data. Comput Biomed Res 18:363-368.
19. Kirkpatrick S, Gerlatt CD Jr, Vecchi MP (1983): Optimization by simulated annealing. Science 220:671-680.
20. Kruggel F, von Cramon DY (1999): Temporal properties of the hemodynamic response in functional MRI. Hum Brain Mapp 8: 259-271.
21. Kruggel F, Wiggins CJ, Herrmann CS, von Cramon DY (2000): Recording of the event-related potentials during functional MRI at 3.0 Tesla field strength. Magn Reson Med 44:277-282.
22. Lange N, Zeger SL (1997): Non-linear Fourier time series analysis for human brain mapping by functional magnetic resonance imaging (with discussion). Appl Stat J R Stat Soc C 46: 1-29.
23. Liao CH, Worsley KJ, Poline JB, Aston JA, Duncan GH, Evans AC (2002): Estimating the delay of the fMRI response. Neuroimage 16:593-606.
24. Logothetis NK (2003): The underpinnings of the BOLD functional magnetic resonance imaging signal. J Neurosci 23: 3963-3971.
25. Luo WL, Nichols TE (2003): Diagnosis and exploration of massively univariate neuroimaging models. Neuroimage 19:1014-1032.
26. Maccotta L, Zacks JM, Buckner RL (2001): Rapid self-paced event-related functional MRI: feasibility and implications of stimulus-versus response-locked timing. Neuroimage 14:1105-1121.
27. Marrelec G, Benali H, Ciuciu P, Pelegrini-Issac M, Poline JB (2003): Robust Bayesian estimation of the hemodynamic response function in event-related BOLD fMRI using basic physiological information. Hum Brain Mapp 19:1-17.
28. Mechelli A, Price CJ, Friston KJ (2001): Nonlinear coupling between evoked rCBF and BOLD signals: a simulation study of hemodynamic responses. Neuroimage 14:862-872.
29. Menon RS, Luknowsky DC, Gati JS (1998): Mental chronometry using latency-resolved functional MRI. Proc Natl Acad Sci U S A 95:10902-10907.
30. Metropolis N, Rosenbluth AW, Rosenbluth MN, Teller AH, Teller E (1953): Equation of state calculations by fast computing machines. J Chem Phys 21:1087-1092.
31. Miezin FM, Maccotta L, Ollinger JM, Petersen SE, Buckner RL (2000): Characterizing the hemodynamic response: effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing. Neuroimage 11:735-759.
32. Noll DC, Cohen JD, Meyer CH, Schneider W (1995): Spiral K-space MR imaging of cortical activation. J Magn Reson Imag 5:49-56.
33. Ollinger JM, Shulman GL, Corbetta M (2001): Separating processes within a trial in event-related functional MRI. Neuroimage 13:210-217.
34. Rajapakse JC, Kruggel F, Maisog JM, von Cramon DY (1998): Modeling hemodynamic response for analysis of functional MRI time-series. Hum Brain Mapp 6:283-300.
35. Richter W, Somorjai R, Summers R, Jarmasz M, Menon RS, Gati JS, Georgeopolous AP, Tegeler C, Ugurbil K, Kim SG (2000): Motor area activity during mental rotation studied by time-resolved single-trial fMRI. J Cogn Neurosci 12:310-320.
36. Riera JJ, Watanabe J, Kazuki I, Naoki M, Aubert E, Ozaki T, Kawashima R (2004): A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals. Neuroimage 21:547-567.
37. Saad ZS, DeYoe EA, Ropella KM (2003): Estimation of FMRI response delays. Neuroimage 18:494-504.
38. Vazquez AL, Noll DC (1998): Nonlinear aspects of the BOLD response in functional MRI. Neuroimage 7:108-118.
39. Wager TD, Vazquez A, Hernandez L, Noll DC (2005): Accounting for nonlinear BOLD effects in fMRI: parameter estimates and a model for prediction in rapid event-related studies. Neuroimage 25:206-218.
40. Woolrich MW, Behrens TE, Smith SM (2004): Constrained linear basis sets for HRF modelling using variational Bayes. Neuroimage 21: 1748-1761.
41. Worsley KJ, Friston KJ (1995): Analysis of fMRI time-series revisited - again. Neuroimage 2:173-181.
42. Zarahn E (2002): Using larger dimensional signal subspaces to increase sensitivity in fMRI time series analyses. Hum Brain Mapp 17:13-16.