Resting-state functional brain connectivity: Lessons from functional near-infrared spectroscopy

Neuroscientist

Volumn 20, Issue 2, 2014, Pages 173-188

  Niu, Haijing ^a   He, Yong ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

connectome; connectomics; fNIRS; functional connectivity; graph theory; network; small world

Indexed keywords

ARTICLE; AUDITORY CORTEX; BRAIN DEVELOPMENT; BRAIN FUNCTION; CONNECTOME; ELECTROENCEPHALOGRAM; FRONTAL CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HEMODYNAMICS; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MEASUREMENT REPEATABILITY; NEAR INFRARED SPECTROSCOPY; NEUROMODULATION; OPTICAL TOMOGRAPHY; OPTICAL TOPOGRAPHY DEVICE; PRIORITY JOURNAL; RESTING STATE NETWORK; SENSORIMOTOR CORTEX; SYSTEMATIC REVIEW (TOPIC); TEMPORAL CORTEX; TEST RETEST RELIABILITY; VALIDITY; VISUAL CORTEX; BRAIN; NERVE TRACT; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; REST; SIGNAL PROCESSING;

BRAIN; HUMANS; NEURAL PATHWAYS; REPRODUCIBILITY OF RESULTS; REST; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPECTROSCOPY, NEAR-INFRARED;

EID: 84895757718     PISSN: 10738584     EISSN: 10894098     Source Type: Journal    
DOI: 10.1177/1073858413502707     Document Type: Article

References (87)

1. Allen EA, Damaraju E, Plis SM, Erhardt EB, Eichele T, Calhoun VD. Tracking whole-brain connectivity dynamics in the resting state. Cereb Cortex. 2012 ;:
2. Arridge SR, Cope M, Delpy D. The theoretical basis for the determination of optical pathlengths in tissue: temporal and frequency analysis. Phys Med Biol. 1992 ; 37 (7). 1531-60
3. Bassett DS, Bullmore ET. Human brain networks in health and disease. Curr Opin Neurol. 2009 ; 22 (4). 340-7
4. Bassett DS, Bullmore ET, Meyer-Lindenberg A, Apud JA, Weinberger DR, Coppola R. Cognitive fitness of cost-efficient brain functional networks. Proc Natl Acad Sci U S A. 2009 ; 106 (28). 11747-52
5. Bassett DS, Gazzaniga MS. Understanding complexity in the human brain. Trends Cogn Sci. 2011 ; 15 (5). 200-9
6. Bassett DS, Meyer-Lindenberg A, Achard S, Duke T, Bullmore E. Adaptive reconfiguration of fractal small-world human brain functional networks. Proc Natl Acad Sci U S A. 2006 ; 103 (51). 19518-23 (Pubitemid 46026063)
7. Boas DA, Dale AM, Franceschini MA. Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. Neuroimage. 2004 ; 23: S275-88
8. Boyacioǧlu R, Barth M. Generalized iNverse imaging (GIN): ultrafast fMRI with physiological noise correction. Magn Reson Med. 2012 ;:
9. Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009 ; 10 (3). 186-98
10. Chang C, Glover G. Time-frequency dynamics of resting-state brain connectivity measured with fMRI. Neuroimage. 2010 ; 50 (1). 81-98
11. Cooper CE, Cope M, Springett R, Amess PN, Penrice J, Tyszczuk L. Use of mitochondrial inhibitors to demonstrate that cytochrome oxidase near-infrared spectroscopy can measure mitochondrial dysfunction noninvasively in the brain. J Cereb Blood Flow Metab. 1999 ; 19 (1). 27-38 (Pubitemid 29283577)
12. Cooper CE, Springett R. Measurement of cytochrome oxidase and mitochondrial energetics by near-infrared spectroscopy. Philos Trans R Soc Lond B Biol Sci. 1997 ; 352 (1354). 669-76 (Pubitemid 27354097)
13. Cooper RJ, Gagnon L, Goldenholz DM, Boas DA, Greve DN. The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging data. Neuroimage. 2012 ; 59 (4). 3128-38
14. Cope M, Delpy D. System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination. Med Biol Eng Comput. 1988 ; 26 (3). 289-94
15. Delpy DT, Cope M, Van der Zee P, Arridge S, Wray S, Wyatt J. Estimation of optical pathlength through tissue from direct time of flight measurement. Phys Med Biol. 1988 ; 33 (12). 1433-42 (Pubitemid 19021438)
16. Duan L, Zhang Y-J, Zhu C-Z. Quantitative comparison of resting-state functional connectivity derived from fNIRS and fMRI: a simultaneous recording study. Neuroimage. 2012 ; 60 (4). 2008-18
17. Eguíluz VM, Chialvo DR, Cecchi GA, Baliki M, Apkarian AV. Scale-free brain functional networks. Phys Rev Lett. 2005 ; 94 (1). 018102
18. Fan F, Zhu C, Chen H, Qin W, Ji X, Wang L. Dynamic brain structural changes after left hemisphere subcortical stroke. Hum Brain Mapp. 2013 ; 34 (8). 1872-81
19. 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). 921-35
20. Fox MD, Raichle ME. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci. 2007 ; 8 (9). 700-11 (Pubitemid 47283145)
21. Frederick BD, Nickerson LD, 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). 1913-23
22. Gervain J, Macagno F, Cogoi S, Peña M, Mehler J. The neonate brain detects speech structure. Proc Natl Acad Sci U S A. 2008 ; 105 (37). 14222-7
23. Gratton G, Fabiani M. Shedding light on brain function: the event-related optical signal. Trends Cogn Sci. 2001 ; 5 (8). 357-63 (Pubitemid 32703805)
24. Greicius MD, Srivastava G, Reiss AL, Menon V. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proc Natl Acad Sci U S A. 2004 ; 101 (13). 4637-42 (Pubitemid 38437463)
25. He Y, Evans A. Graph theoretical modeling of brain connectivity. Curr Opin Neurol. 2010 ; 23 (4). 341-50
26. Heekeren HR, Kohl M, Obrig H, Wenzel R, von Pannwitz W, Matcher SJ. Noninvasive assessment of changes in cytochrome-c oxidase oxidation in human subjects during visual stimulation. J Cereb Blood Flow Metab. 1999 ; 19 (6). 592-603 (Pubitemid 30161211)
27. Hennig J. Functional spectroscopy to no-gradient fMRI. Neuroimage. 2012 ; 62 (2). 693-8
28. Homae F, Watanabe H, Otobe T, Nakano T, Go T, Konishi Y. Development of global cortical networks in early infancy. J Neurosci. 2010 ; 30 (14). 4877-82
29. Hoshi Y. Functional near-infrared spectroscopy: current status and future prospects. J Biomed Opt. 2007 ; 12 (6). 062106
30. Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Netw. 1999 ; 10 (3). 626-34
31. Iriarte J, Urrestarazu E, Valencia M, Alegre M, Malanda A, Viteri C. Independent component analysis as a tool to eliminate artifacts in EEG: a quantitative study. J Clin Neurophysiol. 2003 ; 20 (4). 249-57 (Pubitemid 37229426)
32. Jobsis F. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science. 1977 ; 198 (4323). 1264-7 (Pubitemid 8308546)
33. Kang J, Wang L, Yan C, Wang J, Liang X, He Y. Characterizing dynamic functional connectivity in the resting brain using variable parameter regression and Kalman filtering approaches. Neuroimage. 2011 ; 56 (3). 1222-34
34. Kitzbichler MG, Henson RN, Smith ML, Nathan PJ, Bullmore ET. Cognitive effort drives workspace configuration of human brain functional networks. J Neurosci. 2011 ; 31 (22). 8259-70
35. Kiviniemi V, Kantola J-H, Jauhiainen J, Hyvärinen A, Tervonen O. Independent component analysis of nondeterministic fMRI signal sources. Neuroimage. 2003 ; 19 (2). 253-60 (Pubitemid 39665677)
36. Kohno S, Miyai I, Seiyama A, Oda I, Ishikawa A, Tsuneishi S. Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis. J Biomed Opt. 2007 ; 12 (6). 062111
37. Kolyva C, Ghosh A, Tachtsidis I, Highton D, Cooper CE, Smith M. Cytochrome c oxidase response to changes in cerebral oxygen delivery in the adult brain shows higher brain-specificity than haemoglobin. Neuroimage. 2013 ;:
38. Kolyva C, Tachtsidis I, Ghosh A, Moroz T, Cooper CE, Smith M. Systematic investigation of changes in oxidized cerebral cytochrome c oxidase concentration during frontal lobe activation in healthy adults. Biomed Opt Express. 2012 ; 3 (10). 2550-6
39. Leff DR, Orihuela-Espina F, Elwell CE, Athanasiou T, Delpy DT, Darzi AW. 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). 2922-36
40. Lin F-H, Tsai KW, Chu Y-H, Witzel T, Nummenmaa A, Raij T. Ultrafast inverse imaging techniques for fMRI. Neuroimage. 2012 ; 62 (2). 699-705
41. Lu C-M, Zhang Y-J, Biswal BB, Zang Y-F, Peng D-L, Zhu C-Z. Use of fNIRS to assess resting state functional connectivity. J Neurosci Methods. 2010 ; 186 (2). 242-9
42. McKeown MJ, Hansen LK, Sejnowsk TJ. Independent component analysis of functional MRI: what is signal and what is noise?. Curr Opin Neurobiol. 2003 ; 13 (5). 620-9 (Pubitemid 37431192)
43. Mesquita RC, Franceschini MA, Boas DA. Resting state functional connectivity of the whole head with near-infrared spectroscopy. Biomed Opt Express. 2010 ; 1 (1). 324-36
44. Nakano T, Watanabe H, Homae F, Taga G. Prefrontal cortical involvement in young infants' analysis of novelty. Cereb Cortex. 2009 ; 19 (2). 455-63
45. Niu H, Khadka S, Tian F, Lin Z-J, Lu C, Zhu C. Resting-state functional connectivity assessed with two diffuse optical tomographic systems. J Biomed Opt. 2011 ; 16 (4). 046006-5
46. Niu H, Li Z, Liao X, Wang J, Zhao T, Shu N. Test-retest reliability of graph metrics in functional brain networks: a resting-state fNIRS study. PLoS ONE. 2013 ; 8 (8). e72425
47. Niu H, Lin Z-J, Tian F, Dhamne S, Liu H. Comprehensive investigation of three-dimensional diffuse optical tomography with depth compensation algorithm. J Biomed Opt. 2010 ; 15 (4). 046005-9
48. Niu H, Wang J, Zhao T, Shu N, He Y. Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy. PLoS One. 2012 ; 7 (9). e45771
49. Obrig H. NIRS in clinical neurology - a 'promising' tool?. Neuroimage. 2013 ;:
50. Sasai S, Homae F, Watanabe H, Sasaki AT, Tanabe HC, Sadato N. A NIRS-fMRI study of resting state network. Neuroimage. 2012 ; 63 (1). 179-93
51. Sasai S, Homae F, Watanabe H, Taga G. Frequency-specific functional connectivity in the brain during resting state revealed by NIRS. Neuroimage. 2011 ; 56 (1). 252-7
52. Scheeringa R, Bastiaansen MC, Petersson KM, Oostenveld R, Norris DG, Hagoort P. Frontal theta EEG activity correlates negatively with the default mode network in resting state. Int J Psychophysiol. 2008 ; 67 (3). 242-51 (Pubitemid 351273445)
53. Shehzad Z, Kelly AMC, Reiss PT, Gee DG, Gotimer K, Uddin LQ. The resting brain: unconstrained yet reliable. Cereb Cortex. 2009 ; 19 (10). 2209-29
54. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979 ; 86 (2). 420-8
55. Smit DJ, Stam CJ, Posthuma D, Boomsma DI, de Geus EJ. Heritability of "small-world" networks in the brain: a graph theoretical analysis of resting-state EEG functional connectivity. Hum Brain Mapp. 2008 ; 29 (12). 1368-78
56. Sporns O. Network attributes for segregation and integration in the human brain. Curr Opin Neurobiol. 2013 ; 23 (2). 162-71
57. Srivastava G, Crottaz-Herbette S, Lau KM, Glover GH, Menon V. ICA-based procedures for removing ballistocardiogram artifacts from EEG data acquired in the MRI scanner. Neuroimage. 2005 ; 24 (1). 50-60 (Pubitemid 39611025)
58. Stam CJ. Use of magnetoencephalography (MEG) to study functional brain networks in neurodegenerative disorders. J Neurol Sci. 2010 ; 289 (1-2). 128-34
59. Steinbrink K, Paragnik L, Jonuleit H, Tüting T, Knop J, Enk AH. Induction of dendritic cell maturation and modulation of dendritic cell-induced immune responses by prostaglandins. Arch Dermatol Res. 2000 ; 292 (9). 437-45
60. Stepnoski R, LaPorta A, Raccuia-Behling F, Blonder G, Slusher R, Kleinfeld D. Noninvasive detection of changes in membrane potential in cultured neurons by light scattering. Proc Natl Acad Sci U S A. 1991 ; 88 (21). 9382-6 (Pubitemid 21915635)
61. Strangman G, Boas DA, Sutton JP. Non-invasive neuroimaging using near-infrared light. Biol Psychiatry. 2002 ; 52 (7). 679-93
62. Strangman G, Franceschini MA, Boas DA. Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters. Neuroimage. 2003 ; 18 (4). 865-79 (Pubitemid 36513461)
63. Sugiura L, Ojima S, Matsuba-Kurita H, Dan I, Tsuzuki D, Katura T. Sound to language: different cortical processing for first and second languages in elementary school children as revealed by a large-scale study using fNIRS. Cereb Cortex. 2011 ; 21 (10). 2374-93
64. Tachtsidis I, Gao L, Leung TS, Kohl-Bareis M, Cooper CE, Elwell CE. A hybrid multi-distance phase and broadband spatially resolved spectrometer and algorithm for resolving absolute concentrations of chromophores in the near-infrared light spectrum. Adv Exp Med Biol. 2010 ; 662: 169-75
65. Taga G, Asakawa K, Maki A, Konishi Y, Koizumi H. Brain imaging in awake infants by near-infrared optical topography. Proc Natl Acad Sci U S A. 2003 ; 100 (19). 10722-7 (Pubitemid 37140095)
66. Thomas CG, Harshman RA, Menon RS. Noise reduction in BOLD-based fMRI using component analysis. Neuroimage. 2002 ; 17 (3). 1521-37 (Pubitemid 35333871)
67. Tian F, Niu H, Khan B, Alexandrakis G, Behbehani K, Liu H. Enhanced functional brain imaging by using adaptive filtering and a depth compensation algorithm in diffuse optical tomography. IEEE Trans Med Imaging. 2011 ; 30 (6). 1239-51
68. Tong Y, Frederick BD. 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 (2). 553-64
69. Tong Y, Lindsey KP, deB Frederick B. Partitioning of physiological noise signals in the brain with concurrent near-infrared spectroscopy and fMRI. J Cereb Blood Flow Metab. 2011 ; 31 (12). 2352-62
70. van de, Ven VG, Formisano E, Prvulovic D, Roeder CH, Linden DEJ. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Hum Brain Mapp. 2004 ; 22 (3). 165-78 (Pubitemid 38890996)
71. van den Heuvel MP, Hulshoff Pol HE. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol. 2010 ; 20 (8). 519-34
72. van den Heuvel MP, Stam CJ, Kahn RS, Hulshoff Pol HE. Efficiency of functional brain networks and intellectual performance. J Neurosci. 2009 ; 29 (23). 7619-24
73. White BR, Liao SM, Ferradal SL, Inder TE, Culver JP. Bedside optical imaging of occipital resting-state functional connectivity in neonates. Neuroimage. 2012 ; 59 (3). 2529-38
74. White BR, Snyder AZ, Cohen AL, Petersen SE, Raichle ME, Schlaggar BL. Resting-state functional connectivity in the human brain revealed with diffuse optical tomography. Neuroimage. 2009 ; 47 (1). 148-56
75. Wray S, Cope M, Delpy DT, Wyatt JS, Reynolds EO. Characterization of the near infrared absorption spectra of cytochrome aa3 and haemoglobin for the non-invasive monitoring of cerebral oxygenation. Biochim Biophys Acta. 1988 ; 933 (1). 184-92 (Pubitemid 18086628)
76. Xia M, He Y. Magnetic resonance imaging and graph theoretical analysis of complex brain networks in neuropsychiatric disorders. Brain Connect. 2011 ; 1 (5). 349-65
77. Yin C, Zhou F, Wang Y, Luo W, Luo Q, Li P. Simultaneous detection of hemodynamics, mitochondrial metabolism and light scattering changes during cortical spreading depression in rats based on multi-spectral optical imaging. Neuroimage. 2013 ; 76: 70-80
78. Yu Q, Allen EA, Sui J, Arbabshirani MR, Pearlson G, Calhoun VD. Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging. Curr Top Med Chem. 2012 ; 12 (21). 2415-25
79. Yu Q, Plis SM, Erhardt EB, Allen EA, Sui J, Kiehl KA. Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state. Front Syst Neurosci. 2011 ; 5: 103
80. Zahneisen B, Hugger T, Lee KJ, LeVan P, Reisert M, Lee HL. Single shot concentric shells trajectories for ultra fast fMRI. Magn Reson Med. 2012 ; 68 (2). 484-94
81. Zalesky A, Cocchi L, Fornito A, Murray MM, Bullmore E. Connectivity differences in brain networks. Neuroimage. 2012 ; 60 (2). 1055-62
82. Zeff BW, White BR, Dehghani H, Schlaggar BL, Culver JP. Retinotopic mapping of adult human visual cortex with high-density diffuse optical tomography. Proc Natl Acad Sci U S A. 2007 ; 104 (29). 12169-74 (Pubitemid 47185648)
83. Zhang D, Raichle ME. Disease and the brain's dark energy. Nat Rev Neurol. 2010 ; 6 (1). 15-28
84. Zhang H, Duan L, Zhang Y-J, Lu C-M, Liu H, Zhu C-Z. Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy. Neuroimage. 2011 ; 55 (2). 607-15
85. Zhang H, Zhang Y-J, Lu C-M, Ma S-Y, Zang Y-F, Zhu C-Z. Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements. Neuroimage. 2010 ; 51 (3). 1150-61
86. Zhang Y-J, Duan L, Zhang H, Biswal BB, Lu C-M, Zhu C-Z. Determination of dominant frequency of resting-state brain interaction within one functional system. PLoS One. 2012 ; 7 (12). e51584
87. Zhang Y-J, Lu C-M, Biswal BB, Zang Y-F, Peng D-L, Zhu C-Z. Detecting resting-state functional connectivity in the language system using functional near-infrared spectroscopy. J Biomed Opt. 2010 ; 15 (4). 047003-8