Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics

NeuroImage

Volumn 49, Issue 4, 2010, Pages 3039-3046

  Cui, Xu ^a,b   Bray, Signe ^a,b   Reiss, Allan L ^a,b  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEOXYHEMOGLOBIN; OXYHEMOGLOBIN;

ADULT; ARTICLE; CONTROLLED STUDY; HEAD MOVEMENT; HEMOGLOBIN ANALYSIS; HUMAN; HUMAN EXPERIMENT; IMAGE ENHANCEMENT; NEAR INFRARED SPECTROSCOPY; NOISE REDUCTION; NORMAL HUMAN; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

ADULT; ALGORITHMS; BRAIN MAPPING; CEREBRAL CORTEX; EVOKED POTENTIALS; FEMALE; HEMOGLOBINS; HUMANS; MALE; OXYGEN; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, NEAR-INFRARED; STATISTICS AS TOPIC; YOUNG ADULT;

EID: 73749087391     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.11.050     Document Type: Article

References (33)

1. Abdelnour A., and Huppert T. Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model. NeuroImage 46 (2009) 133-143
2. Bauernfeind G., Leeb R., Wriessnegger S.C., and Pfurtscheller G. Development, set-up and first results for a one-channel near-infrared spectroscopy system. Biomedizinische Technik. Biomed. Eng. 53 (2008) 36-43
3. Boas D.A., Strangman G., Culver J.P., Hoge R.D., Jasdzewski G., Poldrack R.A., Rosen B.R., and Mandeville J.B. Can the cerebral metabolic rate of oxygen be estimated with near-infrared spectroscopy?. Phys. Med. Biol. 48 (2003) 2405-2418
4. Buxton R.B., and Frank L.R. A model for the coupling between cerebral blood flow and oxygen metabolism during neural stimulation. J. Cereb. Blood Flow Metab. 17 (1997) 64-72
5. Buxton R.B., Wong E.C., and Frank L.R. Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn. Reson. Med. 39 (1998) 855-864
6. Buxton R.B., Uludag K., Dubowitz D.J., and Liu T.T. Modeling the hemodynamic response to brain activation. NeuroImage 23 Suppl. 1 (2004) S220-S233
7. Coyle S.M., Ward T.E., and Markham C.M. Brain-computer interface using a simplified functional near-infrared spectroscopy system. J. Neural Eng. 4 (2007) 219-226
8. Devor A., Dunn A.K., Andermann M.L., Ulbert I., Boas D.A., and Dale A.M. Coupling of total hemoglobin concentration, oxygenation, and neural activity in rat somatosensory cortex. Neuron 39 (2003) 353-359
9. Huppert T.J., Diamond S.G., Franceschini M.A., and Boas D.A. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl. Opt. 48 (2009) D280-D298
10. Ide K., and Secher N.H. Cerebral blood flow and metabolism during exercise. Prog. Neurobiol. 61 (2000) 397-414
11. Izzetoglu M., Devaraj A., Bunce S., and Onaral B. Motion artifact cancellation in NIR spectroscopy using Wiener filtering. IEEE Trans. Biomed. Eng. 52 (2005) 934-938
12. Malonek D., and Grinvald A. Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy: implications for functional brain mapping. Science 272 (1996) 551-554
13. Mayhew J., Zheng Y., Hou Y., Vuksanovic B., Berwick J., Askew S., and Coffey P. Spectroscopic analysis of changes in remitted illumination: the response to increased neural activity in brain. NeuroImage 10 (1999) 304-326
14. Mehagnoul-Schipper D.J., van der Kallen B.F., Colier W.N., van der Sluijs M.C., van Erning L.J., Thijssen H.O., Oeseburg B., Hoefnagels W.H., and Jansen R.W. Simultaneous measurements of cerebral oxygenation changes during brain activation by near-infrared spectroscopy and functional magnetic resonance imaging in healthy young and elderly subjects. Hum. Brain Mapp. 16 (2002) 14-23
15. Mildner T., Norris D.G., Schwarzbauer C., and Wiggins C.J. A qualitative test of the balloon model for BOLD-based MR signal changes at 3T. Magn. Reson. Med. 46 (2001) 891-899
16. Miyai I., Tanabe H.C., Sase I., Eda H., Oda I., Konishi I., Tsunazawa Y., Suzuki T., Yanagida T., and Kubota K. Cortical mapping of gait in humans: a near-infrared spectroscopic topography study. NeuroImage 14 (2001) 1186-1192
17. Niederhauser B.D., Rosenbaum B.P., Gore J.C., and Jarquin-Valdivia A.A. A functional near-infrared spectroscopy study to detect activation of somatosensory cortex by peripheral nerve stimulation. Neurocritical Care 9 (2008) 31-36
18. Okamoto M., Dan H., Shimizu K., Takeo K., Amita T., Oda I., Konishi I., Sakamoto K., Isobe S., Suzuki T., et al. Multimodal assessment of cortical activation during apple peeling by NIRS and fMRI. NeuroImage 21 (2004) 1275-1288
19. Perrey S. Non-invasive NIR spectroscopy of human brain function during exercise. Methods 45 (2008) 289-299
20. Rolfe P. In vivo near-infrared spectroscopy. Annu. Rev. Biomed. Eng. 2 (2000) 715-754
21. Sato H., Fuchino Y., Kiguchi M., Katura T., Maki A., Yoro T., and Koizumi H. Intersubject variability of near-infrared spectroscopy signals during sensorimotor cortex activation. J. Biomed. Opt. 10 (2005) 44001
22. Sheth S.A., Nemoto M., Guiou M., Walker M., Pouratian N., and Toga A.W. Linear and nonlinear relationships between neuronal activity, oxygen metabolism, and hemodynamic responses. Neuron 42 (2004) 347-355
23. Sitaram R., Zhang H., Guan C., Thulasidas M., Hoshi Y., Ishikawa A., Shimizu K., and Birbaumer N. Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. NeuroImage 34 (2007) 1416-1427
24. Sitaram R., Caria A., and Birbaumer N. Hemodynamic brain-computer interfaces for communication and rehabilitation. Neural Netw. 22 9 (2009) 1320-1328
25. Tang L., Avison M.J., and Gore J.C. Nonlinear blood oxygen level-dependent responses for transient activations and deactivations in V1-insights into the hemodynamic response function with the balloon model. Magn. Reson. Imaging 27 (2009) 449-459
26. Tomioka H., Yamagata B., Takahashi T., Yano M., Isomura A.J., Kobayashi H., and Mimura M. Detection of hypofrontality in drivers with Alzheimer's disease by near-infrared spectroscopy. Neurosci. Lett. 451 (2009) 252-256
27. Utsugi, K., Obata, A., Sato, H., Katsura, T., Sagara, K., Maki, A., and Koizumi, H., (2007). Development of an optical brain-machine interface. Conference proceedings:... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2007, 5338-41.
28. Villringer A., and Chance B. Non-invasive optical spectroscopy and imaging of human brain function. Trends Neurosci. 20 (1997) 435-442
29. Wilcox T., Bortfeld H., Woods R., Wruck E., and Boas D.A. Using near-infrared spectroscopy to assess neural activation during object processing in infants. J. Biomed. Opt. 10 (2005) 11010
30. Zhang Q., Brown E.N., and 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. 12 (2007) 044014
31. Zhang Q., Brown E.N., and Strangman G.E. Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study. J. Biomed. Opt. 12 (2007) 064009
32. Zhang Q., Strangman G.E., and Ganis G. Adaptive filtering to reduce global interference in non-invasive NIRS measures of brain activation: how well and when does it work?. NeuroImage 45 (2009) 788-794
33. 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) 11014