A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements

NeuroImage

Volumn 72, Issue , 2013, Pages 106-119

  Scarpa, Fabio ^a   Brigadoi, Sabrina ^a   Cutini, Simone ^a   Scatturin, Pietro ^a   Zorzi, Marco ^a,b   Dell'Acqua, Roberto ^a   Sparacino, Giovanni ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b IRCCS SAN CAMILLO HOSPITAL   (Italy)

Author keywords

Bayesian filtering; FNIRS; Near infrared spectroscopy; Physiological noise; Reference channel

Indexed keywords

HEMOGLOBIN;

ACCURACY; ADULT; ALGORITHM; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; DATA ANALYSIS; EVOKED RESPONSE; FEMALE; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; MALE; NEAR INFRARED SPECTROSCOPY; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SIGNAL NOISE RATIO; SIMULATION;

ADULT; ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; FEMALE; HEMODYNAMICS; HUMANS; MALE; SPECTROSCOPY, NEAR-INFRARED; YOUNG ADULT;

EID: 84873742662     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.01.021     Document Type: Article

References (42)

1. Abdelnour a F., Huppert T. Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model. NeuroImage 2009, 46(1):133-143.
2. Brigadoi S., Cutini S., Scarpa F., Scatturin P., Dell'Acqua R. Exploring the role of primary and supplementary motor areas in simple motor tasks with fNIRS. Cogn. Process. 2012, 13(1):97-101.
3. Boas D.A., Franceschini M.A., Dunn A.K., Strangman G. Noninvasive imaging of cerebral activation with diffuse optical tomography. In-Vivo Optical Imaging of Brain Function 2002, 193-221. CRC Press, (Chap 8). R.D. Frostig (Ed.).
4. Bunce S.C., Izzetoglu M., Izzetoglu K., Onaral B., Pourrezaei K. Functional near-infrared spectroscopy. IEEE Eng. Med. Biol. Mag. 2006, 25(4):54-62.
5. Cooper R.J., Gagnon L., Goldenholz D.M., Boas D.A., Greve D.N. The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging data. NeuroImage 2011, 59(4):3128-3138.
6. Cutini S., Scatturin P., Menon E., Bisiacchi P.S., Gamberini L., Zorzi M., Dell'Acqua R. Selective activation of the superior frontal gyrus in task-switching: an event-related fNIRS study. NeuroImage 2008, 42(2):945-955.
7. Cutini S., Scarpa F., Scatturin P., Jolicœur P., Pluchino P., Zorzi M., Dell'Acqua R. A hemodynamic correlate of lateralized visual short-term memories. Neuropsychologia 2011, 49(6):1611-1621.
8. Cutini S., Scatturin P., Zorzi M. A new method based on ICBM152 head surface for probe placement in multichannel fNIRS. NeuroImage 2011, 54(2):919-927.
9. Cutini S., Basso S., Bisconti S. Functional near infrared optical imaging in cognitive neuroscience: an introductory review. J. Near Infrared Spectrosc. 2012, 20(1):75-92.
10. Cutini, S., Scarpa, F., Scatturin, P., Dell'Acqua, R., Zorzi, M., in press. Number-space interactions in the human parietal cortex: enlightening the snarc effect with functional near-infrared spectroscopy. Cereb. Cortex. http://dx.doi.org/10.1093/cercor/bhs321.
11. Dale A.M. Optimal experimental design for event-related fMRI. Hum. Brain Mapp. 1999, 8(2-3):109-114.
12. Ferrari M., Quaresima V. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. NeuroImage 2012, 63(2):921-935.
13. Franceschini M.A., Joseph D.K., Huppert T.J., Diamond S.G., Boas D.A. Diffuse optical imaging of the whole head. J. Biomed. Opt. 2006, 11(5):054007.
14. Frederick B.D., Nickerson L.D., Tong Y. Physiological denoising of BOLD fMRI data using Regressor Interpolation at Progressive Time Delays (RIPTiDe) processing of concurrent fMRI and near-infrared spectroscopy (NIRS). NeuroImage 2012, 60(3):1913-1923.
15. Gagnon L., Perdue K., Greve D.N., Goldenholz D., Kaskhedikar G., Boas D.A. Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling. NeuroImage 2011, 56(3):1362-1371.
16. Gagnon L., Cooper R.J., Yücel M.a, Perdue K.L., Greve D.N., Boas D.a Short separation channel location impacts the performance of short channel regression in NIRS. NeuroImage 2012, 59(3):2518-2528.
17. Gervain J., Mehler J., Werker J.F., Nelson C.A., Csibra G., Lloyd-Fox S., Shukla M., Aslin R.N. Near-infrared spectroscopy: a report from the McDonnell infant methodology consortium. Dev. Cogn. Neurosci. 2011, 1(1):22-46.
18. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 1999, 9(4):416-429.
19. Handel P. Evaluation of a standardized sine wave fit algorithm. Proceedings of the IEEE Nordic Signal Processing Symposium, Sweden 2000.
20. Holper L., Biallas M., Wolf M. Task complexity relates to activation of cortical motor areas during uni- and bimanual performance: a functional NIRS study. NeuroImage 2009, 46(4):1105-1113.
21. Huppert T.J., Diamond S.G., Franceschini M.A., Boas D.A. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl. Opt. 2009, 48(10):D280-D298.
22. Jasdzewski G., Strangman G., Wagner J., Kwong K., Poldrack R., Boas D. Differences in the hemodynamic response to event-related motor and visual paradigms as measured by near-infrared spectroscopy. NeuroImage 2003, 20(1):479-488.
23. Jöbsis F.F. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 1977, 198:1264-1267.
24. Leff D.R., Orihuela-Espina F., Elwell C.E., Athanasiou T., Delpy D.T., Darzi A.W., Yang G.-Z. Assessment of the cerebral cortex during motor task behaviours in adults: a systematic review of functional near infrared spectroscopy (fNIRS) studies. NeuroImage 2011, 54(4):2922-2936.
25. Lindquist M.A., Wager T.D. Validity and power in hemodynamic response modeling: a comparison study and a new approach. Hum. Brain Mapp. 2007, 28(8):764-784.
26. Lutz K., Koeneke S., Wüstenberg T., Jäncke L. Asymmetry of cortical activation during maximum and convenient tapping speed. Neurosci. Lett. 2005, 373(1):61-66.
27. Machado A., Lina J.M., Tremblay J., Lassonde M., Nguyen D.K., Lesage F., Grova C. Detection of hemodynamic responses to epileptic activity using simultaneous electro encephalography (EEG)/near infra red spectroscopy (NIRS) acquisitions. NeuroImage 2011, 56(1):114-125.
28. Näsi T., Kotilahti K., Noponen T., Nissilä I., Lipiäinen L., Meriläinen P. Correlation of visual-evoked hemodynamic responses and potentials in human brain. Exp. Brain Res. 2010, 202(3):561-570.
29. Prince S., Kolehmainen V., Kaipio J.P., Franceschini M.G., Boas D.A., Arridge S.R. Time-series estimation of biological factors in optical diffusion tomography. Phys. Med. Biol. 2003, 48:1491-1504.
30. Rosen B.R., Buckner R.L., Dale a M. Event-related functional MRI: past, present, and future. Proc. Natl. Acad. Sci. U. S. A. 1998, 95(3):773-780.
31. Saager R.B., Berger A.J. Direct characterization and removal of interfering absorption trends in two-layer turbid media. J. Opt. Soc. Am. A Opt. Image Sci. Vis. 2005, 22(9):1874-1882.
32. Saager R.B., Telleri N.L., Berger A.J. Two-detector corrected near infrared spectroscopy (C-NIRS) detects hemodynamic activation responses more robustly than single-detector NIRS. NeuroImage 2011, 55(4):1679-1685.
33. Sassaroli A., Fantini S. Comment on the modified Beer-Lambert law for scattering media. Phys. Med. Biol. 2004, 49(14):N255-N257.
34. Sato T., Ito M., Suto T., Kameyama M., Suda M., Yamagishi Y., Ohshima A., Uehara T., Fukuda M., Mikuni M. Time courses of brain activation and their implications for function: a multichannel near-infrared spectroscopy study during finger tapping. Neurosci. Res. 2007, 58(3):297-304.
35. Scarpa F., Cutini S., Scatturin P., Dell'Acqua R., Sparacino G. Bayesian filtering of human brain hemodynamic activity elicited by visual short-term maintenance recorded through functional near-infrared spectroscopy (fNIRS). Opt. Express 2010, 18(25):26550-26568.
36. Taga G., Watanabe H., Homae F. Spatiotemporal properties of cortical haemodynamic response to auditory stimuli in sleeping infants revealed by multi-channel near-infrared spectroscopy. Philos. Transact. A Math. Phys. Eng. Sci. 2011, 369(1955):4495-4511.
37. Tong Y., Frederick B.D. 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(4):2047-2057.
38. Tong Y., Bergethon P.R., Frederick B.D. An improved method for mapping cerebrovascular reserve using concurrent fMRI and near-infrared spectroscopy with Regressor Interpolation at Progressive Time Delays (RIPTiDe). NeuroImage 2011, 56(2):553-564.
39. Twomey S. The application of numerical filtering of the solution of integral equation encountered in indirect sensing measurements. J. Franklin Inst. 1965, 279:95-109.
40. Ye J.C., Tak S., Jang K.E., Jung J., Jang J. NIRS-SPM: statistical parametric mapping for near-infrared spectroscopy. NeuroImage 2009, 44(2):428-447.
41. Zhang Q., Brown E.N., Strangman G.E. Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study. J. Biomed. Opt. 2007, 12(4):044014.
42. Zhang Q., Strangman G.E., Ganis G. Adaptive filtering to reduce global interference in non-invasive NIRS measures of brain activation: how well and when does it work?. NeuroImage 2009, 45(3):788-794.