Test-Retest Reliability of Graph Metrics in Functional Brain Networks: A Resting-State fNIRS Study

PLoS ONE

Volumn 8, Issue 9, 2013, Pages

  Niu, Haijing ^a   Li, Zhen ^a   Liao, Xuhong ^b,c   Wang, Jinhui ^b   Zhao, Tengda ^a   Shu, Ni ^a   Zhao, Xiaohu ^d   He, Yong ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b HANGZHOU NORMAL UNIVERSITY   (China)

^c Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments   (China)

^d TONGJI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AREA UNDER THE CURVE; ARTICLE; BRAIN FUNCTION; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; FEMALE; HEMOGLOBIN DETERMINATION; HUMAN; HUMAN EXPERIMENT; MALE; METRIC SYSTEM; NEAR INFRARED SPECTROSCOPY; NORMAL HUMAN; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RESTING STATE NETWORK; SENSITIVITY ANALYSIS; SIGNAL TRANSDUCTION; TEST RETEST RELIABILITY; THEORETICAL MODEL;

ADULT; ALGORITHMS; AREA UNDER CURVE; BRAIN MAPPING; CEREBRAL CORTEX; FEMALE; HUMANS; MALE; MODELS, BIOLOGICAL; NERVE NET; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; REST; SPECTROSCOPY, NEAR-INFRARED; YOUNG ADULT;

EID: 84883611683     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0072425     Document Type: Article

References (78)

1. Bullmore E, Sporns O, (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10: 186-198.
2. Bullmore E, Sporns O, (2012) The economy of brain network organization. Nat Rev Neurosci 13: 336-349.
3. He Y, Evans A, (2010) Graph theoretical modeling of brain connectivity. Current Opinion in Neurology 23: 341-350.
4. Rubinov M, Sporns O, (2010) Complex network measures of brain connectivity: Uses and interpretations. NeuroImage 52: 1059-1069.
5. He Y, Chen ZJ, Evans AC, (2007) Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI. Cerebral Cortex 17: 2407-2419.
6. Gong G, He Y, Concha L, Lebel C, Gross DW, et al. (2009) Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography. Cerebral Cortex 19: 524-536.
7. Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey C, et al. (2008) Mapping the structural core of human cerebral cortex. PLoS biology 6: e159.
8. Hagmann P, Kurant M, Gigandet X, Thiran P, Wedeen VJ, et al. (2007) Mapping Human Whole-Brain Structural Networks with Diffusion MRI. PLoS ONE 2: e597.
9. Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E, (2006) A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs. The Journal of Neuroscience 26: 63-72.
10. He Y, Dagher A, Chen Z, Charil A, Zijdenbos A, et al. (2009) Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load. Brain 132: 3366-3379.
11. Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, et al. (2005) Neurophysiological Architecture of Functional Magnetic Resonance Images of Human Brain. Cerebral Cortex 15: 1332-1342.
12. Niu H, Wang J, Zhao T, Shu N, He Y, (2012) Revealing Topological Organization of Human Brain Functional Networks with Resting-State Functional near Infrared Spectroscopy. PLoS ONE 7: e45771.
13. Bassett DS, Bullmore ET, Meyer-Lindenberg A, Apud JA, Weinberger DR, et al. (2009) Cognitive fitness of cost-efficient brain functional networks. Proceedings of the National Academy of Sciences 106: 11747-11752.
14. Pievani M, de Haan W, Wu T, Seeley WW, Frisoni GB, (2011) Functional network disruption in the degenerative dementias. The Lancet Neurology 10: 829-843.
15. Wang J, Zuo X, He Y (2010) Graph-based network analysis of resting-state functional MRI. Frontiers in Systems Neuroscience 4.
16. Xia M, He Y, (2011) Magnetic Resonance Imaging and Graph Theoretical Analysis of Complex Brain Networks in Neuropsychiatric Disorders. Brain connectivity 1: 349-365.
17. Jobsis F, (1977) Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 198: 1264-1267.
18. Villringer A, Chance B, (1997) Non-invasive optical spectroscopy and imaging of human brain function. Trends in Neurosciences 20: 435-442.
19. Homae F, Watanabe H, Otobe T, Nakano T, Go T, et al. (2010) Development of Global Cortical Networks in Early Infancy. The Journal of Neuroscience 30: 4877-4882.
20. Lu C-M, Zhang Y-J, Biswal BB, Zang Y-F, Peng D-L, et al. (2010) Use of fNIRS to assess resting state functional connectivity. Journal of Neuroscience Methods 186: 242-249.
21. Mesquita RC, Franceschini MA, Boas DA, (2010) Resting state functional connectivity of the whole head with near-infrared spectroscopy. Biomed Opt Express 1: 324-336.
22. White BR, Liao SM, Ferradal SL, Inder TE, Culver JP (2011) Bedside optical imaging of occipital resting-state functional connectivity in neonates. NeuroImage.
23. White BR, Snyder AZ, Cohen AL, Petersen SE, Raichle ME, et al. (2009) Resting-state functional connectivity in the human brain revealed with diffuse optical tomography. NeuroImage 47: 148-156.
24. Zhang H, Duan L, Zhang Y-J, Lu C-M, Liu H, et al. (2011) Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy. NeuroImage 55: 607-615.
25. Zhang H, Zhang Y-J, Lu C-M, Ma S-Y, Zang Y-F, et al. (2010) Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements. NeuroImage 51: 1150-1161.
26. Cope M, Delpy D, (1988) System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination. Medical and Biological Engineering and Computing 26: 289-294.
27. Biswal B, Zerrin Yetkin F, Haughton VM, Hyde JS, (1995) Functional connectivity in the motor cortex of resting human brain using echo-planar mri. Magnetic Resonance in Medicine 34: 537-541.
28. Sasai S, Homae F, Watanabe H, Sasaki AT, Tanabe HC, et al. (2012) A NIRS-fMRI study of resting state network. NeuroImage 63: 179-193.
29. Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, et al. (2005) The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America 102: 9673-9678.
30. Latora V, Marchiori M, (2001) Efficient Behavior of Small-World Networks. Physical Review Letters 87: 198701.
31. Watts DJ, Strogatz SH, (1998) Collective dynamics of/'small-world/' networks. Nature 393: 440-442.
32. Latora V, Marchiori M, (2003) Economic small-world behavior in weighted networks. The European Physical Journal B - Condensed Matter and Complex Systems 32: 249-263.
33. Maslov S, Sneppen K, (2002) Specificity and Stability in Topology of Protein Networks. Science 296: 910-913.
34. Humphries MD, Gurney K, Prescott TJ, (2006) The brainstem reticular formation is a small-world, not scale-free, network. Proceedings of the Royal Society B: Biological Sciences 273: 503-511.
35. Newman MEJ, (2006) Modularity and community structure in networks. Proceedings of the National Academy of Sciences 103: 8577-8582.
36. Ravasz E, Barabási A-L, (2003) Hierarchical organization in complex networks. Physical Review E 67: 026112.
37. Newman MEJ, (2002) Assortative Mixing in Networks. Physical Review Letters 89: 208701.
38. Achard S, Bullmore E, (2007) Efficiency and Cost of Economical Brain Functional Networks. PLoS Comput Biol 3: e17.
39. Linton CF, (1977) A Set of Measures of Centrality Based on Betweenness. Sociometry 40: 35-41.
40. Shrout PE, Fleiss JL, (1979) Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin 86: 420-428.
41. Sampat MP, Whitman GJ, Stephens TW, Broemeling LD, Heger NA, et al. (2006) The reliability of measuring physical characteristics of spiculated masses on mammography. British Journal of Radiology 79: S134-S140.
42. Winer BJ (1962) Statistical principles in experimental design. New York, NYUS: McGraw-Hill Book Company. x, 672 p.
43. Rousson V, Gasser T, Seifert B, (2002) Assessing intrarater, interrater and test-retest reliability of continuous measurements. Statistics in medicine 21: 3431-3446.
44. Müller R, Büttner P, (1994) A critical discussion of intraclass correlation coefficients. Statistics in medicine 13: 2465-2476.
45. Kong J, Gollub RL, Webb JM, Kong J-T, Vangel MG, et al. (2007) Test-retest study of fMRI signal change evoked by electroacupuncture stimulation. NeuroImage 34: 1171-1181.
46. He Y, Wang J, Wang L, Chen ZJ, Yan C, et al. (2009) Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans. PLoS ONE 4: e5226.
47. Stone JV, (2002) Independent component analysis: an introduction. Trends in Cognitive Sciences 6: 59-64.
48. Kohno S, Miyai I, Seiyama A, Oda I, Ishikawa A, et al. (2007) Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis. Journal of Biomedical Optics 12: 062111-062111.
49. Hyvarinen A, (1999) Fast and robust fixed-point algorithms for independent component analysis. Neural Networks, IEEE Transactions on 10: 626-634.
50. van de Ven VG, Formisano E, Prvulovic D, Roeder CH, Linden DEJ, (2004) Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Human Brain Mapping 22: 165-178.
51. Shehzad Z, Kelly AMC, Reiss PT, Gee DG, Gotimer K, et al. (2009) The Resting Brain: Unconstrained yet Reliable. Cerebral Cortex 19: 2209-2229.
52. Wang J-H, Zuo X-N, Gohel S, Milham MP, Biswal BB, et al. (2011) Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data. PLoS ONE 6: e21976.
53. Braun U, Plichta MM, Esslinger C, Sauer C, Haddad L, et al. (2012) Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures. NeuroImage 59: 1404-1412.
54. Deuker L, Bullmore ET, Smith M, Christensen S, Nathan PJ, et al. (2009) Reproducibility of graph metrics of human brain functional networks. NeuroImage 47: 1460-1468.
55. Liang X, Wang J, Yan C, Shu N, Xu K, et al. (2012) Effects of Different Correlation Metrics and Preprocessing Factors on Small-World Brain Functional Networks: A Resting-State Functional MRI Study. PLoS ONE 7: e32766.
56. Telesford QK, Morgan AR, Hayasaka S, Simpson SL, Barret W, et al. (2010) Reproducibility of graph metrics in fMRI networks. Frontiers in NEUROINFORMATICS 4: 1-10.
57. Chu CJ, Kramer MA, Pathmanathan J, Bianchi MT, Westover MB, et al. (2012) Emergence of Stable Functional Networks in Long-Term Human Electroencephalography. The Journal of Neuroscience 32: 2703-2713.
58. Zalesky A, Fornito A, Bullmore E, (2012) On the use of correlation as a measure of network connectivity. NeuroImage 60: 2096-2106.
59. Gagnon L, Yücel MA, Dehaes M, Cooper RJ, Perdue KL, et al. (2012) Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements. NeuroImage 59: 3933-3940.
60. Kirilina E, Jelzow A, Heine A, Niessing M, Wabnitz H, et al. (2012) The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy. NeuroImage 61: 70-81.
61. Strangman G, Culver JP, Thompson JH, Boas DA, (2002) A quantitative comparison of simultaneous BOLD fMRI and NIRS recordings during functional brain activation. NeuroImage 17: 719-731.
62. Boas DA, Dale AM, Franceschini MA, (2004) Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. NeuroImage 23Suppl 1: S275-288.
63. Toronov V, Franceschini MA, Filiaci M, Fantini S, Wolf M, et al. (2000) Near-infrared study of fluctuations in cerebral hemodynamics during rest and motor stimulation: temporal analysis and spatial mapping. Medical physics 27: 801-815.
64. Diamond SG, Perdue KL, Boas DA, (2009) A cerebrovascular response model for functional neuroimaging including dynamic cerebral autoregulation. Mathematical Biosciences 220: 102-117.
65. Obrig H, Neufang M, Wenzel R, Kohl M, Steinbrink J, et al. (2000) Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults. NeuroImage 12: 623-639.
66. Payne SJ, Selb J, Boas DA, (2009) Effects of Autoregulation and CO2 Reactivity on Cerebral Oxygen Transport. Annals of Biomedical Engineering 37: 2288-2298.
67. Zhang Y-J, Lu C-M, Biswal BB, Zang Y-F, Peng D-L, et al. (2010) Detecting resting-state functional connectivity in the language system using functional near-infrared spectroscopy. Journal of Biomedical Optics 15: 047003-047008.
68. Greicius MD, Krasnow B, Reiss AL, Menon V, (2003) Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences 100: 253-258.
69. Lowe MJ, Mock BJ, Sorenson JA, (1998) Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations. NeuroImage 7: 119-132.
70. Cooper RJ, Gagnon L, Goldenholz DM, Boas DA, Greve DN, (2012) The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging data. NeuroImage 59: 3128-3138.
71. Gagnon L, Perdue K, Greve DN, Goldenholz D, Kaskhedikar G, et al. (2011) Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling. NeuroImage 56: 1362-1371.
72. Saager RB, Telleri NL, Berger AJ, (2011) Two-detector Corrected Near Infrared Spectroscopy (C-NIRS) detects hemodynamic activation responses more robustly than single-detector NIRS. NeuroImage 55: 1679-1685.
73. Zhang Q, Brown EN, Strangman GE, (2007) Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study. Journal of Biomedical Optics 12: 044014-044014.
74. Zhang Q, Strangman GE, 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.
75. Gagnon L, Cooper RJ, Yücel MA, Perdue KL, Greve DN, et al. (2012) Short separation channel location impacts the performance of short channel regression in NIRS. NeuroImage 59: 2518-2528.
76. Leff DR, Orihuela-Espina F, Elwell CE, Athanasiou T, Delpy DT, et al. (2011) Assessment of the cerebral cortex during motor task behaviours in adults: A systematic review of functional near infrared spectroscopy (fNIRS) studies. NeuroImage 54: 2922-2936.
77. Niu H, Khadka S, Tian F, Lin Z-J, Lu C, et al. (2011) Resting-state functional connectivity assessed with two diffuse optical tomographic systems. Journal of Biomedical Optics 16: 046006-046005.
78. Hoshi Y, (2007) Functional near-infrared spectroscopy: current status and future prospects. Journal of Biomedical Optics 12: 062106-062106.