Activation detection in diffuse optical imaging by means of the general linear model

Medical Image Analysis

Volumn 11, Issue 6, 2007, Pages 616-629

  Cohen Adad, J ^a,d,e   Chapuisat, S ^b,d,e   Doyon, J ^d,e   Rossignol, S ^a   Lina, J M ^c,d,e   Benali, H ^d,e   Lesage, F ^b,d,e  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^c ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^d CENTRE DE RECHERCHE   (Canada)

^e INSERM   (France)

Author keywords

Activation detection; Diffuse optical imaging; DOI; General linear model; GLM

Indexed keywords

MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; NEUROPHYSIOLOGY; OPTICAL TOMOGRAPHY;

ACTIVATION DETECTION; DIFFUSE OPTICAL IMAGING; GENERAL LINEAR MODEL;

MEDICAL IMAGING;

ARTICLE; BAYES THEOREM; BRAIN FUNCTION; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIFFUSE OPTICAL IMAGING; DIGITAL FILTERING; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; MALE; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL DETECTION; SIGNAL NOISE RATIO; STATISTICAL MODEL;

BAYES THEOREM; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING;

EID: 35548951024     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2007.06.002     Document Type: Article

References (45)

1. Aguirre G.K., Zarahn E., and D'Esposito M. The variability of human, BOLD hemodynamic responses. Neuroimage 8 (1998) 360-369
2. Ardekani B.A., Kershaw J., Kashikura K., and Kanno I. Activation detection in functional MRI using subspace modeling and maximum likelihood estimation. IEEE Trans. Med. Imaging 18 (1999) 101-114
3. Arridge S.R. Optical tomography in medical imaging. Inverse Problems 15 (1999) 41-93
4. Bagarinao E., Matsuo K., Nakai T., and Sato S. Estimation of general linear model coefficients for real-time application. Neuroimage 19 (2003) 422-429
5. Baird A.A., Kagan J., Gaudette T., Walz K.A., Hershlag N., and Boas D.A. Frontal lobe activation during object permanence: data from near-infrared spectroscopy. Neuroimage 16 (2002) 1120-1125
6. Bandettini P.A., and Ungerleider L.G. From neuron to BOLD: new connections. Nat. Neurosci. 4 (2001) 864-866
7. Barnett A.H., Culver J.P., Sorenson A.G., Dale A., and Boas D.A. Robust inference of baseline optical properties of the human head with three-dimensional segmentation from magnetic resonance imaging. Appl. Opt. 42 (2003) 3095-3108
8. Biswal B.B., Pathak A.P., Ulmer J.L., and Hudetz A.G. Decoupling of the hemodynamic and activation-induced delays in functional magnetic resonance imaging. J. Comput. Assist. Tomogr. 27 (2003) 219-225
9. Boas D.A., Dale A.M., and Franceschini M.A. Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. Neuroimage 23 Suppl. 1 (2004) S275-S288
10. Cannestra A.F., Wartenburger I., Obrig H., Villringer A., and Toga A.W. Functional assessment of Broca's area using near infrared spectroscopy in humans. Neuroreport 14 (2003) 1961-1965
11. Chapuis B., Vidal-Petiot E., Oréa V., Barrès C., and Julien C. Linear modelling analysis of baroreflex control of arterial pressure variability in rats. J. Physiol. 559 (2004) 639-649
12. Dale A., and Buckner R. Selective averaging of rapidly presented individual trials using fMRI. Human Brain Mapp. 5 (1997) 329-340
13. D'Esposito M., Zarahn E., Aguirre G.K., and Rypma B. The effect of normal aging on the coupling of neural activity to the bold hemodynamic response. Neuroimage 10 (1999) 6-14
14. Diamond S.G., Huppert T.J., Kolehmainen V., Franceschini M.A., Kaipio J.P., Arridge S.R., and Boas D.A. Dynamic physiological modeling for functional diffuse optical tomography. Neuroimage 30 (2006) 88-101
15. Doyon J., and Benali H. Reorganization and plasticity in the adult brain during learning of motor skills. Curr. Opin. Neurobiol. 15 (2005) 161-167
16. Fantini S., Hueber D., Franceschini M.A., Gratton E., Rosenfeld W., Stubblefield P.G., Maulik D., and Stankovic M.R. Non-invasive optical monitoring of the newborn piglet brain using continuous-wave and frequency-domain spectroscopy. Phys. Med. Biol. 44 (1999) 1543-1563
17. Friston K.J., Jezzard P., and Turner R. Analysis of functional MRI time-series. Human Brain Mapp. 1 (1994) 153-171
18. Friston K.J., Josephs O., Zarahn E., Holmes A.P., Rouquette S., and Poline J. To smooth or not to smooth? Bias and efficiency in fMRI time-series analysis. Neuroimage 12 (2000) 196-208
19. Gratton G., Fabiani M., Elbert T., and Rockstroh B. Seeing right through you: applications of optical imaging to the study of the human brain. Psychophysiology 40 (2003) 487-491
20. Huppert T.J., Hoge R.D., Diamond S.G., Franceschini M.A., and Boas D.A. A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans. Neuroimage 29 (2006) 368-382
21. Jasdzewski G., Strangman G., Wagner J., Kwong K.K., Poldrack R.A., and Boas D.A. Differences in the hemodynamic response to event-related motor and visual paradigms as measured by near-infrared spectroscopy. Neuroimage 20 (2003) 479-488
22. Jobsis F.F. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 198 (1977) 1264-1267
23. Julien C. The enigma of Mayer waves: facts and models. Cardiovasc. Res. 70 (2006) 12-21
24. Kato H., Izumiyama M., Koizumi H., Takahashi A., and Itoyama Y. Near-infrared spectroscopic topography as a tool to monitor motor reorganization after hemiparetic stroke: a comparison with functional MRI. Stroke 33 (2002) 2032-2036
25. Lange N., Strother S.C., Anderson J.R., Nielsen F.A., Holmes A.P., Kolenda T., Savoy R., and Hansen L.K. Plurality and resemblance in fMRI data analysis. Neuroimage 10 (1999) 282-303
26. Lu Jr. K., Ghorbel F.H., Ware D.L., Zwischenberger J.B., and Bidani A. Whole-body gas exchange in human predicted by a cardiopulmonary model. Cardiovasc. Eng. V3 (2003) 1-19
27. Lund T., Madsen K., Sidaros K., Luo W.-L., and Nichols T. Non-white noise in fMRI: does modelling have an impact?. Neuroimage 29 (2006) 54-66
28. Marrelec G., Benali H., Ciuciu P., Pélègrini-Issac M., and Poline J.B. Robust Bayesian estimation of the hemodynamic response function in event-related BOLD fMRI using basic physiological information. Hum Brain Mapp. 19 (2003) 1-17
29. Marrelec G., Ciuciu P., Pélègrini-Issac M., and Benali H. Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference. IEEE Trans. Med. Imaging 23 (2004) 959-967
30. Meyer F.G. Wavelet-based estimation of a semiparametric generalized linear model of fMRI time-series. IEEE Trans. Med. Imaging 22 (2003) 315-322
31. Miezin F.M., Maccotta L., Ollinger J.M., Petersen S.E., and 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 11 (2000) 735-759
32. Mukkamala R., and Cohen R.J. A forward model-based validation of cardiovascular system identification. Am. J. Physiol. Heart Circ. Physiol. 281 (2001)
33. Pagani M., Montano N., Porta A., Malliani A., Abboud F.M., Birkett C., and Somers V.K. Relationship between spectral components of cardiovascular variabilities and direct measures of muscle sympathetic nerve activity in humans. Circulation 95 (1997) 1441-1448
34. Praamstra P., Kourtis D., Kwok H.F., and Oostenveld R. Neurophysiology of implicit timing in serial choice reaction-time performance. J. Neurosci. 26 (2006) 5448-5455
35. Preiss G., and Polosa C. Patterns of sympathetic neuron activity associated with Mayer waves. Am. J. Physiol. 226 (1974) 724-730
36. Prince S., Kolehmainen V., Kaipio J.P., Franceschini M.A., Boas D., and Arridge S.R. Time-series estimation of biological factors in optical diffusion tomography. Phys. Med. Biol. 48 (2003) 1491-1504
37. Schroeter M.L., Kupka T., Mildner T., Uludag K., and von Cramon D.Y. Investigating the post-stimulus undershoot of the BOLD signal - a simultaneous fMRI and fNIRS study. Neuroimage 30 (2006) 349-358
38. Tachtsidis I., Elwell C.E., Leung T.S., Lee C.W., Smith M., and Delpy D.T. Investigation of cerebral haemodynamics by near-infrared spectroscopy in young healthy volunteers reveals posture-dependent spontaneous oscillations. Physiol. Meas. 25 (2004) 437-445
39. Vielle B. Mathematical analysis of Mayer waves. J. Math. Biol. 50 (2005) 595-606
40. Worsley K.J., and Friston K.J. Analysis of fMRI time-series revisited-again. Neuroimage 2 (1995) 173-181
41. Worsley K.J., Liao C.H., Aston J., Petre V., Duncan G.H., Morales F., and Evans A.C. A general statistical analysis for fMRI data. Neuroimage 15 (2002) 1-15
42. Yodh A., and Chance B. Spectroscopy and imaging with diffusing light. Phys. Today 48 (1995) 34-40
43. Zarahn E., Aguirre G.K., and D'Esposito M. Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions. Neuroimage 5 (1997) 179-197
44. Zhang Y., Brooks D.H., Franceschini M.A., and Boas D.A. Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging. J. Biomed. Opt. 10 (2005) 011014
45. Zang Y., Jia F., Weng X., Li E., Cui S., Wang Y., Hazeltine E., and Ivry R. Functional organization of the primary motor cortex characterized by event-related fMRI during movement preparation and execution. Neurosci Lett 337 (2003) 69-72