Identifying and quantifying main components of physiological noise in functional near infrared spectroscopy on the prefrontal cortex

Frontiers in Human Neuroscience

Volumn 7, Issue DEC, 2013, Pages

  Kirlilna, Evgeniya ^a   Yu, Na ^b   Jelzow, Alexander ^c   Wabnitz, Heidrun ^c   Jacobs, Arthur M ^a   Tachtsidis, Llias ^b  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c PHYSIKALISCH TECHNISCHE BUNDESANSTALT   (Germany)

Author keywords

De noising methods; fNIRS; Physiological noise; Wavelet coherence

Indexed keywords

HEMOGLOBIN;

ARTICLE; BRAIN FUNCTION; BRAIN REGION; EVOKED RESPONSE; FOREHEAD; FUNCTIONAL NEAR INFRARED SPECTROSCOPY; HEART RATE; MEAN ARTERIAL PRESSURE; NEAR INFRARED SPECTROSCOPY; NOISE; PHYSIOLOGICAL NOISE; PREFRONTAL CORTEX; QUANTITATIVE ANALYSIS; SIGNAL DETECTION; SKIN BLOOD FLOW;

EID: 84890854687     PISSN: 16625161     EISSN: None     Source Type: Journal    
DOI: 10.3389/fnhum.2013.00864     Document Type: Article

References (68)

1. Aletti, F., Re, R., Pace, V., Contini, D., Molteni, E., Cerutti, S., et al. (2012). Deep and surface hemodynamic signal from functional time resolved transcranial near infrared spectroscopy compared to skin flowmotion. Comput. Biol. Med. 42, 282-289. doi: 10.1016/j.compbiomed.2011.06.001
2. Arridge, S. R., Cope, M., and Delpy, D. T. (1992). The theoretical basis for the determination of optical pathlengths in tissue: temporal and frequency analysis. Phys. Med. Biol. 37, 1531. doi: 10.1088/0031-9155/37/7/005
3. Birn, R. M., Diamond, J. B., Smith, M. A., and Bandettini, P. A. (2006). Separating respiratory-variation-related fluctuations from neuronalactivity-related fluctuations in fMRI. Neuroimage 31, 1536-1548. doi: 10.1016/j.neuroimage.2006.02.048
4. Caicedo, A., Papademetriou, M. D., Elwell, C. E., Hoskote, A., Elliott, M. J., Van Huffel, S., et al. (2013). Canonical correlation analysis in the study of cerebral and peripheral haemodynamics interrelations with systemic variables in neonates supported on ECMO. Adv. Exp. Med. Biol. 765, 23-29. doi: 10.1007/978-1-4614-4989-8_4
5. Chang, C., and Glover, G. H. (2009). Effects of model-based physiological noise correction on default mode network anti-correlations and correlations. Neuroimage 47, 1448-1459. doi: 10.1016/j.neuroimage.2009.05.012
6. Cohen, M. A., and Taylor, J. A., (2002). Short-term cardiovascular oscillations in man: measuring and modelling the physiologies. J. Physiol. 542, 669-683. doi: 10.1113/jphysiol.2002.017483
7. Drummond, P. (1996). Adrenergic receptors in the forehead microcirculation. Clin. Auton. Res. 6, 23-27. doi: 10.1007/BF02291402
8. Drummond, P. (1997). The effect of adrenergic blockade on blushing and facial flushing. Psychophysiology 34, 163-168. doi: 10.1111/j.14698986.1997.tb02127.x
9. Elstad, M., WallØe, L., Chon, K. H., and Toska, K. (2011). Low-frequency fluctuations in heart rate, cardiac output and mean arterial pressure in humans: what are the physiological relationships? J. Hypertens. 29, 1327-1336. doi: 10.1097/HJH.0b013e328347a17a
10. Elwell, C. E., Springett, R., Hillman, E., and Delpy, D. T. (1999). Oscillations in cerebral haemodynamics. Implications for functional activation studies. Adv. Exp. Med. Biol. 471, 57-65. doi: 10.1007/978-1-4615-4717-4_8
11. Franceschini, M. A., Joseph, D. K., Huppert, T. J., Diamond, S. G., and Boas, D. A. (2006). Diffuse optical imaging of the whole head. J. Biomed. Opt. 11:054007. doi: 10.1117/1.2363365
12. Friston, K., and Stephan, K. (2007). "Chapter 3-modelling brain responses," in Statistical Parametric Mapping, eds K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny (London: Academic Press), 32-45.
13. Funane, T., Atsumori, H., Katura, T., Obata, A. N., Sato, H., Tanikawa, Y., et al. (2013). Quantitative evaluation of deep and shallow tissue layers' contribution to fNIRS signal using multi-distance optodes and independent component analysis. Neuroimage. doi: 10.1016/j.neuroimage.2013.02.026. [Epub ahead of print].
14. Gagnon, L., Cooper, R. J., Yücel, M. A., Perdue, K. L., Greve, D. N., and Boas, D. A. (2012). Short separation channel location impacts the performance of short channel regression in NIRS. Neuroimage 59, 2518-2528. doi: 10.1016/j.neuroimage.2011.08.095
15. Goupillaud, P., Grossmann, A., and Morlet, J. (1984). Cycle-octave and related transforms in seismic signal analysis. Geoexploration 23, 85-102. doi: 10.1016/0016-7142(84)90025-5
16. Gregg, N. M., White, B. R., Zeff, B. W., Berger, A. J., and Culver, J. P. (2010). Brain specificity of diffuse optical imaging: improvements from superficial signal regression and tomography. Front. Neuroenergetics 2:14. doi: 10.3389/fnene.2010.00014
17. Grinsted, A., Moore, J. C., and Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlin Process. Geophys 11, 561-566. doi: 10.5194/npg-11-561-2004
18. Hirsch, J. A., and Bishop, B. (1981). Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. Am. J. Physiol. 241, H620-H629.
19. Hudetz, A. G., Roman, R. J., and Harder, D. R. (1992). Spontaneous flow oscillations in the cerebral cortex during acute changes in mean arterial pressure. J. Cereb. Blood Flow Metab. 12, 491-499. doi: 10.1038/jcbfm.1992.67
20. Johansson, B., and Bohr, D. F. (1966). Rhythmic activity in smooth muscle from small subcutaneous arteries. Am. J. Physiol. 210, 801-806.
21. Julien, C. (2006). The enigma of Mayer waves: facts and models. Cardiovasc. Res. 70, 12-21. doi: 10.1016/j.cardiores.2005.11.008
22. Kastrup, J., Bülow, J., and Lassen, N. A. (1989). Vasomotion in human skin before and after local heating recorded with laser Doppler flowmetry. A method for induction of vasomotion. Int. J. Microcirc. Clin. Exp. 8, 205-215.
23. Katura, T., Sato, H., Fuchino, Y., Yoshida, T., Atsumori, H., Kiguchi, M., et al. (2008). Extracting task-related activation components from optical topography measurement using independent components analysis. J. Biomed. Opt. 13:054008. doi: 10.1117/1.2981829
24. Katura, T., Tanaka, N., Obata, A., Sato, H., and Maki, A. (2006). Quantitative evaluation of interrelations between spontaneous low-frequency oscillations in cerebral hemodynamics and systemic cardiovascular dynamics. Neuroimage 31, 1592-1600. doi: 10.1016/j.neuroimage.2006.02.010
25. Kiebel, S. J., and Holmes, A. P. (2007). "Chapter 8-the general linear model," in Statistical Parametric Mapping, eds K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny (London: Academic Press), 101-125.
26. Kirilina, E., Jelzow, A., Heine, A., Niessing, M., Wabnitz, H., Brühl, R., et al. (2012). The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy. Neuroimage 61, 70-81. doi: 10.1016/j.neuroimage.2012.02.074
27. Kohno, S., Miyai, I., Seiyama, A., Oda, I., Ishikawa, A., Tsuneishi, S., et al. (2007). Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis. J. Biomed. Opt. 12:062111. doi: 10.1117/1.2814249
28. Latka, M., Turalska, M., Glaubic-Latka, M., Kolodziej, W., Latka, D., and West, B. J. (2005). Phase dynamics in cerebral autoregulation. Am. J. Physiol. 289, H2272-H2279. doi: 10.1152/ajpheart.01307.2004
29. Li, Z., Wang, Y., Li, Y., Wang, Y., Li, J., and Zhang, L. (2010). Wavelet analysis of cerebral oxygenation signal measured by near infrared spectroscopy in subjects with cerebral infarction. Microvasc. Res. 80, 142-147. doi: 10.1016/j.mvr.2010.02.004
30. Li, Z., Zhang, M., Xin, Q., Luo, S., Cui, R., Zhou, W., et al. (2013). Age-related changes in spontaneous oscillations assessed by wavelet transform of cerebral oxygenation and arterial blood pressure signals. J. Cereb. Blood Flow Metab. 33, 692-699. doi: 10.1038/jcbfm.2013.4
31. Liebert, A., Wabnitz, H., and Elster, C. (2012). Determination of absorption changes from moments of distributions of times of flight of photons: optimization of measurement conditions for a two-layered tissue model. J. Biomed. Opt. 17:057005. doi: 10.1117/1.JBO.17.5.057005
32. Liebert, A., Wabnitz, H., Grosenick, D., Möller, M., Macdonald, R., and Rinneberg, H. (2003). Evaluation of optical properties of highly scattering media by moments of distributions of times of flight of photons. Appl. Opt. 42, 5785-5792. doi: 10.1364/AO.42.005785
33. Liebert, A., Wabnitz, H., Steinbrink, J., Obrig, H., Möller, M., Macdonald, R., et al. (2004). Time-resolved multidistance near-infrared spectroscopy of the adult head: intracerebral and extracerebral absorption changes from moments of distribution of times of flight of photons. Appl. Opt. 43, 3037-3047. doi: 10.1364/AO.43.003037
34. Malliani, A., Pagani, M., Lombardi, F., and Cerutti, S. (1991). Cardiovascular neural regulation explored in the frequency domain. Circulation 84, 482-492. doi: 10.1161/01.CIR.84.2.482
35. Mallat, S. G. (2009). A Wavelet Tour of Signal Processing the Sparse Way. Amsterdam; Boston, MA: Elsevier, Academic Press.
36. Mayer, S. (1876). Studien zur Physiologie des Herzens und der Blutgefässe 6. Abhandlung: Über spontane Blutdruckschwankungen. Sitzungsberichte Akad. Wiss. Wien Math.-Naturwissenschaftliche Cl. Anat. 74, 281-307.
37. Mayhew, J. E., Askew, S., Zheng, Y., Porrill, J., Westby, G. W., Redgrave, P., et al. (1996). Cerebral vasomotion: a 0.1-Hz oscillation in reflected light imaging of neural activity. Neuroimage 4, 183-193. doi: 10.1006/nimg.1996.0069
38. Minati, L., Kress, I. U., Visani, E., Medford, N., and Critchley, H. D. (2011). Intraand extra-cranial effects of transient blood pressure changes on brain near-infrared spectroscopy (NIRS) measurements. J. Neurosci. Methods 197, 283-288. doi: 10.1016/j.jneumeth.2011.02.029
39. Mitsis, G. D., Poulin, M. J., Robbins, P. A., and Marmarelis, V. Z. (2004). Nonlinear modeling of the dynamic effects of arterial pressure and CO2 variations on cerebral blood flow in healthy humans. IEEE Trans. Biomed. Eng. 51, 1932-1943. doi: 10.1109/TBME.2004.834272
40. Nilsson, H., and Aalkjaer, C. (2003). Vasomotion: mechanisms and physiological importance. Mol. Interv. 3, 79-89. doi: 10.1124/mi.3.2.79
41. Obrig, H., Neufang, M., Wenzel, R., Kohl, M., Steinbrink, J., Einhäupl, K., et al. (2000). Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults. Neuroimage 12, 623-639. doi: 10.1006/nimg.2000.0657
42. Okamoto, M., Dan, H., Sakamoto, K., Takeo, K., Shimizu, K., Kohno, S., et al. (2004). Three-dimensional probabilistic anatomical cranio-cerebral correlation via the international 10-20 system oriented for transcranial functional brain mapping. Neuroimage 21, 99-111. doi: 10.1016/j.neuroimage.2003.08.026
43. Pagani, M., Lombardi, F., Guzzetti, S., Rimoldi, O., Furlan, R., Pizzinelli, P., et al. (1986). Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog. Circ. Res. 59, 178-193. doi: 10.1161/01.RES.59.2.178
44. Patel, S., Katura, T., Maki, A., and Tachtsidis, I. (2011). Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis. Adv. Exp. Med. Biol. 701, 45-51. doi: 10.1007/978-1-4419-7756-4_7
45. Rayshubskiy, A., Wojtasiewicz, T. J., Mikell, C. B., Bouchard, M. B., Timerman, D., Youngerman, B. E., et al. (2013). Direct, intraoperative observation of 0.1 Hz hemodynamic oscillations in awake human cortex: implications for fMRI. Neuroimage doi: 10.1016/j.neuroimage.2013.10.044. [Epub ahead of print].
46. Rowley, A. B., Payne, S. J., Tachtsidis, I., Ebden, M. J., Whiteley, J. P., Gavaghan, D. J., et al. (2007). Synchronization between arterial blood pressure and cerebral oxyhaemoglobin concentration investigated by wavelet cross-correlation. Physiol. Meas. 28, 161-173. doi: 10.1088/0967-3334/28/2/005
47. Saager, R. B., and Berger, A. J. (2005). Direct characterization and removal of interfering absorption trends in two-layer turbid media. J. Opt. Soc. Am. A Opt. Image Sci. Vis. 22, 1874-1882. doi: 10.1364/JOSAA.22.001874
48. Saager, R. B., Telleri, N. L., and Berger, A. J. (2011). Two-detector Corrected Near Infrared Spectroscopy (C-NIRS) detects hemodynamic activation responses more robustly than single-detector NIRS. Neuroimage 55, 1679-1685. doi: 10.1016/j.neuroimage.2011.01.043
49. Sato, H., Yahata, N., Funane, T., Takizawa, R., Katura, T., Atsumori, H., et al. (2013). A NIRS-fMRI investigation of prefrontal cortex activity during a working memory task. Neuroimage 83C, 158-173. doi: 10.1016/j.neuroimage.2013.06.043
50. Scholkmann, F., Wolf, M., and Wolf, U. (2013a). The effect of inner speech on arterial CO2 and cerebral hemodynamics and oxygenation: a functional NIRS study. Adv. Exp. Med. Biol. 789, 81-87. doi: 10.1007/978-1-4614-7411-1_12
51. Scholkmann, F., Gerber, U., Wolf, M., and Wolf, U. (2013b). End-tidal CO2: an important parameter for a correct interpretation in functional brain studies using speech tasks. Neuroimage 66, 71-79. doi: 10.1016/j.neuroimage.2012.10.025
52. Scholkmann, F., Kleiser, S., Metz, A. J., Zimmermann, R., Mata Pavia, J., Wolf, U., et al. (2013c). A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology. Neuroimage. doi: 10.1016/j.neuroimage.2013.05.004. [Epub ahead of print].
53. Söderström, T., Stefanovska, A., Veber, M., and Svensson, H. (2003). Involvement of sympathetic nerve activity in skin blood flow oscillations in humans. Am. J. Physiol. Heart Circ. Physiol. 284, H1638-H1646. doi: 10.1152/ajpheart.00826.200
54. Stauss, H. M., Anderson, E. A., Haynes, W. G., and Kregel, K. C. (1998). Frequency response characteristics of sympathetically mediated vasomotor waves in humans. Am. J. Physiol. 274, H1277-1283.
55. Steinbrink, J. (2000). Near-Infrared-Spectroscopy on the Adult Human Head with Picosecond Resolution. Ph.D. thesis, FU Berlin, Berlin.
56. Tachtsidis, I., Elwell, C. E., Leung, T. S., Lee, C.-W., Smith, M., and Delpy, D. T. (2004). Investigation of cerebral haemodynamics by near-infrared spectroscopy in young healthy volunteers reveals posture-dependent spontaneous oscillations. Physiol. Meas. 25, 437-445. doi: 10.1088/0967-3334/25/2/003
57. Tachtsidis, I., Koh, P. H., Stubbs, C., and Elwell, C. E. (2010). "Functional optical topography analysis using statistical parametric mapping (SPM) methodology with and without physiological confounds," in Oxygen Transport to Tissue XXXI, eds E. Takahashi and D. F. Bruley (Boston, MA: Springer), 237-243.
58. Tachtsidis, I., Leung, T. S., Chopra, A., Koh, P. H., Reid, C. B., and Elwell, C. E. (2009). "False positives in functional nearinfrared topography," in Oxygen Transport to Tissue XXX, Advances in Experimental Medicine and Biology, eds P. Liss, P. Hansell, D. F. Bruley, and D. K. Harrison (Springer), 307-314.
59. Takahashi, T., Takikawa, Y., Kawagoe, R., Shibuya, S., Iwano, T., and Kitazawa, S. (2011). Influence of skin blood flow on near-infrared spectroscopy signals measured on the forehead during a verbal fluency task. Neuroimage 57, 991-1002. doi: 10.1016/j.neuroimage.2011.05.012
60. Tanaka, H., Katura, T., and Sato, H. (2013). Task-related component analysis for functional neuroimaging and application to near-infrared spectroscopy data. Neuroimage 64, 308-327. doi: 10.1016/j.neuroimage.2012.08.044
61. Tong, Y., Frederick, B. D. (2010). 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 53, 553-564. doi: 10.1016/j.neuroimage.2010.06.049
62. Tong, Y., Lindsey, K. P., and Frederick, B. D. (2011). Partitioning of physiological noise signals in the brain with concurrent near-infrared spectroscopy and fMRI. J. Cereb. Blood Flow Metab. 31, 2352-2362. doi: 10.1038/jcbfm.2011.100
63. Torrence, C., and Webster, P. J. (1999). Interdecadal changes in the ENSO-monsoon system. J. Clim. 12, 2679-2690. doi: 10.1175/15200442(1999)012<2679:ICITEM>2.0.CO;2
64. Wabnitz, H., Moeller, M., Liebert, A., Obrig, H., Steinbrink, J., and Macdonald, R. (2010). Time-resolved near-infrared spectroscopy and imaging of the adult human brain. Adv. Exp. Med. Biol. 662, 143-148. doi: 10.1007/978-1-44191241-1_20
65. Wabnitz, H., Möller, M., Liebert, A., Walter, A., Erdmann, R., Raitza, et al., (2005). "A time-domain NIR brain imager applied in functional stimulationexperiments," in Proc. SPIE, Vol. 5859, Photon Migration and Diffuse-Light Imaging II 58590H (Munich). doi: 10.1117/12.632837
66. Zhang, Q., Strangman, G. E., and Ganis, G. (2009). Adaptive filtering to reduce global interference in non-invasive NIRS measures of brain activation: How well and when does it work? Neuroimage 45, 788-794. doi: 10.1016/j.neuroimage.2008.12.048
67. Zhang, X., Niu, H., Song, Y., and Fan, Y. (2012a). "Activation detection in fNIRS by wavelet coherence," in Proc. SPIE, Vol. 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831712 (San-Diego). doi: 10.1117/12.911312
68. Zhang, Y., Sun, J. W., and Rolfe, P. (2012b). RLS adaptive filtering for physiological interference reduction in NIRS brain activity measurement: a Monte Carlo study. Physiol. Meas. 33, 925-942. doi: 10.1088/0967-3334/33/6/92