Individual differences and time-varying features of modular brain architecture

NeuroImage

Volumn 152, Issue , 2017, Pages 94-107

  Liao, Xuhong ^a   Cao, Miao ^a   Xia, Mingrui ^a   He, Yong ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Association cortex; Connectomics; Connector; Dynamics; Graph theory; Modularity

Indexed keywords

ADULT; ARTICLE; ASSOCIATION CORTEX; BEHAVIOR; BIOLOGICAL PHENOMENA AND FUNCTIONS CONCERNING THE ENTIRE ORGANISM; BRAIN; BRAIN REGION; COGNITION; CONNECTOME; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MOVEMENT; HUMAN; HUMAN EXPERIMENT; INDIVIDUAL VARIABILITY; MALE; NERVE CELL NETWORK; NEUROANATOMY; NORMAL HUMAN; REPRODUCIBILITY; RESTING STATE NETWORK; SAMPLING ERROR; INDIVIDUALITY; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; YOUNG ADULT;

ADULT; BRAIN; COGNITION; CONNECTOME; FEMALE; HUMANS; INDIVIDUALITY; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 85014501596     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2017.02.066     Document Type: Article

References (112)

1. Allen, E.A., Damaraju, E., Plis, S.M., Erhardt, E.B., Eichele, T., Calhoun, V.D., Tracking whole-brain connectivity dynamics in the resting state. Cereb. Cortex 24 (2014), 663–676.
2. Amunts, K., Schleicher, A., Burgel, U., Mohlberg, H., Uylings, H.B., Zilles, K., Broca's region revisited: cytoarchitecture and intersubject variability. J. Comp. Neurol. 412 (1999), 319–341.
3. Amunts, K., Weiss, P.H., Mohlberg, H., Pieperhoff, P., Eickhoff, S., Gurd, J.M., Marshall, J.C., Shah, N.J., Fink, G.R., Zilles, K., Analysis of neural mechanisms underlying verbal fluency in cytoarchitectonically defined stereotaxic space-the roles of Brodmann areas 44 and 45. Neuroimage 22 (2004), 42–56.
4. Anderson, M.L., Complex function in the dynamic brain: comment on “Understanding brain networks and brain organization” by Luiz Pessoa. Phys. Life Rev. 11 (2014), 436–437.
5. Bassett, D.S., Yang, M., Wymbs, N.F., Grafton, S.T., Learning-induced autonomy of sensorimotor systems. Nat. Neurosci. 18 (2015), 744–751.
6. Bassett, D.S., Wymbs, N.F., Porter, M.A., Mucha, P.J., Carlson, J.M., Grafton, S.T., Dynamic reconfiguration of human brain networks during learning. Proc. Natl. Acad. Sci. USA 108 (2011), 7641–7646.
7. Bassett, D.S., Wymbs, N.F., Rombach, M.P., Porter, M.A., Mucha, P.J., Grafton, S.T., Task-based core-periphery organization of human brain dynamics. PLoS Comput. Biol., 9, 2013, e1003171.
8. Bertolero, M.A., Yeo, B.T., D'Esposito, M., The modular and integrative functional architecture of the human brain. Proc. Natl. Acad. Sci. USA 112 (2015), E6798–E6807.
9. Betzel, R.F., Fukushima, M., He, Y., Zuo, X.N., Sporns, O., Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks. Neuroimage 127 (2016), 287–297.
10. Birn, R.M., Diamond, J.B., Smith, M.A., Bandettini, P.A., Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. Neuroimage 31 (2006), 1536–1548.
11. Biswal, B., Yetkin, F.Z., Haughton, V.M., Hyde, J.S., Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med. 34 (1995), 537–541.
12. Blondel, V.D., Guillaume, J.-L., Lambiotte, R., Lefebvre, E., Fast unfolding of communities in large networks. J. Stat. Mech.: Theory Exp., 2008, 2008, P10008.
13. Braun, U., Schafer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J.I., Grimm, O., Heinz, A., Tost, H., Meyer-Lindenberg, A., Bassett, D.S., Dynamic reconfiguration of frontal brain networks during executive cognition in humans. Proc. Natl. Acad. Sci. USA 112 (2015), 11678–11683.
14. Brun, C.C., Leporé, N., Pennec, X., Lee, A.D., Barysheva, M., Madsen, S.K., Avedissian, C., Chou, Y.-Y., De Zubicaray, G.I., McMahon, K.L., Mapping the regional influence of genetics on brain structure variability—a tensor-based morphometry study. Neuroimage 48 (2009), 37–49.
15. Buckner, R.L., Krienen, F.M., The evolution of distributed association networks in the human brain. Trends Cogn. Sci. 17 (2013), 648–665.
16. Bullmore, E., Sporns, O., The economy of brain network organization. Nat. Rev. Neurosci. 13 (2012), 336–349.
17. Calhoun, V.D., Miller, R., Pearlson, G., Adali, T., The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron 84 (2014), 262–274.
18. Casey, B., Tottenham, N., Liston, C., Durston, S., Imaging the developing brain: what have we learned about cognitive development?. Trends Cogn. Sci. 9 (2005), 104–110.
19. Chang, C., Liu, Z.M., Chen, M.C., Liu, X., Duyn, J.H., EEG correlates of time-varying BOLD functional connectivity. NeuroImage 72 (2013), 227–236.
20. Chen, C.H., Gutierrez, E.D., Thompson, W., Panizzon, M.S., Jernigan, T.L., Eyler, L.T., Fennema-Notestine, C., Jak, A.J., Neale, M.C., Franz, C.E., Lyons, M.J., Grant, M.D., Fischl, B., Seidman, L.J., Tsuang, M.T., Kremen, W.S., Dale, A.M., Hierarchical genetic organization of human cortical surface area. Science 335 (2012), 1634–1636.
21. Clancy, B., Darlington, R.B., Finlay, B.L., The course of human events: predicting the timing of primate neural development. Dev. Sci. 3 (2000), 57–66.
22. Cole, M.W., Pathak, S., Schneider, W., Identifying the brain's most globally connected regions. Neuroimage 49 (2010), 3132–3148.
23. Cole, M.W., Bassett, D.S., Power, J.D., Braver, T.S., Petersen, S.E., Intrinsic and task-evoked network architectures of the human brain. Neuron 83 (2014), 238–251.
24. Cole, M.W., Reynolds, J.R., Power, J.D., Repovs, G., Anticevic, A., Braver, T.S., Multi-task connectivity reveals flexible hubs for adaptive task control. Nat. Neurosci. 16 (2013), 1348–1355.
25. Craddock, R.C., James, G.A., Holtzheimer, P.E. 3rd, Hu, X.P., Mayberg, H.S., A whole brain fMRI atlas generated via spatially constrained spectral clustering. Hum. Brain Mapp. 33 (2012), 1914–1928.
26. Crossley, N.A., Mechelli, A., Vertes, P.E., Winton-Brown, T.T., Patel, A.X., Ginestet, C.E., McGuire, P., Bullmore, E.T., Cognitive relevance of the community structure of the human brain functional coactivation network. Proc. Natl. Acad. Sci. USA 110 (2013), 11583–11588.
27. Damaraju, E., Allen, E.A., Belger, A., Ford, J.M., McEwen, S., Mathalon, D.H., Mueller, B.A., Pearlson, G.D., Potkin, S.G., Preda, A., Turner, J.A., Vaidya, J.G., van Erp, T.G., Calhoun, V.D., Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage: Clin. 5 (2014), 298–308.
28. Deco, G., Jirsa, V.K., McIntosh, A.R., Emerging concepts for the dynamical organization of resting-state activity in the brain. Nat. Rev. Neurosci. 12 (2011), 43–56.
29. Deco, G., Jirsa, V.K., McIntosh, A.R., Resting brains never rest: computational insights into potential cognitive architectures. Trends Neurosci. 36 (2013), 268–274.
30. Di, X., Biswal, B.B., Dynamic brain functional connectivity modulated by resting-state networks. Brain Struct. Funct. 220 (2015), 37–46.
31. Dubois, J., Adolphs, R., Building a science of individual differences from fMRI. Trends Cogn. Sci. 20 (2016), 425–443.
32. Eickhoff, S.B., Stephan, K.E., Mohlberg, H., Grefkes, C., Fink, G.R., Amunts, K., Zilles, K., A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage 25 (2005), 1325–1335.
33. Finn, E.S., Shen, X., Scheinost, D., Rosenberg, M.D., Huang, J., Chun, M.M., Papademetris, X., Constable, R.T., Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nat. Neurosci. 18 (2015), 1664–1671.
34. Fornito, A., Zalesky, A., Bullmore, E.T., Network scaling effects in graph analytic studies of human resting-state FMRI data. Front. Syst. Neurosci., 4, 2010, 22.
35. Fortunato, S., Community detection in graphs. Phys. Rep. 486 (2010), 75–174.
36. Fox, M.D., Zhang, D., Snyder, A.Z., Raichle, M.E., The global signal and observed anticorrelated resting state brain networks. J. Neurophysiol. 101 (2009), 3270–3283.
37. Friston, K.J., Williams, S., Howard, R., Frackowiak, R.S., Turner, R., Movement-related effects in fMRI time-series. Magn. Reson. Med. 35 (1996), 346–355.
38. Frost, M.A., Goebel, R., Measuring structural-functional correspondence: spatial variability of specialised brain regions after macro-anatomical alignment. Neuroimage 59 (2012), 1369–1381.
39. Gao, W., Elton, A., Zhu, H., Alcauter, S., Smith, J.K., Gilmore, J.H., Lin, W., Intersubject variability of and genetic effects on the brain's functional connectivity during infancy. J. Neurosci. 34 (2014), 11288–11296.
40. Glasser, M.F., Sotiropoulos, S.N., Wilson, J.A., Coalson, T.S., Fischl, B., Andersson, J.L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J.R., Van Essen, D.C., Jenkinson, M., Consortium, W.U.-M.H., The minimal preprocessing pipelines for the human connectome project. Neuroimage 80 (2013), 105–124.
41. Gordon, E.M., Laumann, T.O., Adeyemo, B., Petersen, S.E., Individual variability of the system-level organization of the human brain. Cereb. Cortex, 2015, 10.1093/cercor/bhv1239.
42. Gu, S., Satterthwaite, T.D., Medaglia, J.D., Yang, M., Gur, R.E., Gur, R.C., Bassett, D.S., Emergence of system roles in normative neurodevelopment. Proc. Natl. Acad. Sci. USA 112 (2015), 13681–13686.
43. Guimera, R., Mossa, S., Turtschi, A., Amaral, L.A., The worldwide air transportation network: anomalous centrality, community structure, and cities' global roles. Proc. Natl. Acad. Sci. USA 102 (2005), 7794–7799.
44. Haimovici, A., Tagliazucchi, E., Balenzuela, P., Chialvo, D.R., Brain organization into resting state networks emerges at criticality on a model of the human connectome. Phys. Rev. Lett., 110, 2013, 178101.
45. Hansen, E.C., Battaglia, D., Spiegler, A., Deco, G., Jirsa, V.K., Functional connectivity dynamics: modeling the switching behavior of the resting state. NeuroImage 105 (2015), 525–535.
46. Hartwell, L.H., Hopfield, J.J., Leibler, S., Murray, A.W., From molecular to modular cell biology. Nature 402 (1999), C47–C52.
47. He, Y., Wang, J., Wang, L., Chen, Z.J., Yan, C., Yang, H., Tang, H., Zhu, C., Gong, Q., Zang, Y., Evans, A.C., Uncovering intrinsic modular organization of spontaneous brain activity in humans. PLoS One, 4, 2009, e5226.
48. Hill, J., Inder, T., Neil, J., Dierker, D., Harwell, J., Van Essen, D., Similar patterns of cortical expansion during human development and evolution. Proc. Natl. Acad. Sci. USA 107 (2010), 13135–13140.
49. Hill, J., Dierker, D., Neil, J., Inder, T., Knutsen, A., Harwell, J., Coalson, T., Van Essen, D., A surface-based analysis of hemispheric asymmetries and folding of cerebral cortex in term-born human infants. J. Neurosci. 30 (2010), 2268–2276.
50. Hindriks, R., Adhikari, M., Murayama, Y., Ganzetti, M., Mantini, D., Logothetis, N., Deco, G., Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?. Neuroimage 127 (2015), 242–256.
51. Hutchison, R.M., Morton, J.B., Tracking the brain's functional coupling dynamics over development. J. Neurosci. 35 (2015), 6849–6859.
52. Hutchison, R.M., Womelsdorf, T., Gati, J.S., Everling, S., Menon, R.S., Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques. Hum. Brain Mapp. 34 (2013), 2154–2177.
53. Hutchison, R.M., Womelsdorf, T., Allen, E.A., Bandettini, P.A., Calhoun, V.D., Corbetta, M., Penna, S., Duyn, J.H., Glover, G.H., Gonzalez-Castillo, J., Handwerker, D.A., Keilholz, S., Kiviniemi, V., Leopold, D.A., Pasquale, F., Sporns, O., Walter, M., Chang, C., Dynamic functional connectivity: promise, issues, and interpretations. NeuroImage 80 (2013), 360–378.
54. Johnson, M.B., Kawasawa, Y.I., Mason, C.E., Krsnik, Ž., Coppola, G., Bogdanović, D., Geschwind, D.H., Mane, S.M., State, M.W., Šestan, N., Functional and evolutionary insights into human brain development through global transcriptome analysis. Neuron 62 (2009), 494–509.
55. Jones, D.T., Vemuri, P., Murphy, M.C., Gunter, J.L., Senjem, M.L., Machulda, M.M., Przybelski, S.A., Gregg, B.E., Kantarci, K., Knopman, D.S., Boeve, B.F., Petersen, R.C., Jack, C.R. Jr., Non-stationarity in the “resting brain's” modular architecture. PLoS One, 7, 2012, e39731.
56. Jung, R.E., Haier, R.J., The parieto-frontal integration theory (P-FIT) of intelligence: converging neuroimaging evidence. Behav. Brain Sci. 30 (2007), 135–187.
57. Kelly, C., Biswal, B.B., Craddock, R.C., Castellanos, F.X., Milham, M.P., Characterizing variation in the functional connectome: promise and pitfalls. Trends Cogn. Sci. 16 (2012), 181–188.
58. Kuhn, H.W., The Hungarian method for the assignment problem. Nav. Res. Logist. Q. 2 (1955), 83–97.
59. Langs, G., Wang, D., Golland, P., Mueller, S., Pan, R., Sabuncu, M.R., Sun, W., Li, K., Liu, H., Identifying shared brain networks in individuals by decoupling functional and anatomical variability. Cereb. Cortex 26 (2016), 4004–4014.
60. Laumann, T.O., Snyder, A.Z., Mitra, A., Gordon, E.M., Gratton, C., Adeyemo, B., Gilmore, A.W., Nelson, S.M., Berg, J.J., Greene, D.J., On the stability of BOLD fMRI correlations. Cereb. Cortex, 2016, 10.1093/cercor/bhw1265.
61. Laumann, T.O., Gordon, E.M., Adeyemo, B., Snyder, A.Z., Joo, S.J., Chen, M.Y., Gilmore, A.W., McDermott, K.B., Nelson, S.M., Dosenbach, N.U., Schlaggar, B.L., Mumford, J.A., Poldrack, R.A., Petersen, S.E., Functional system and areal organization of a highly sampled individual human brain. Neuron 87 (2015), 657–670.
62. Leonardi, N., Van De Ville, D., On spurious and real fluctuations of dynamic functional connectivity during rest. Neuroimage 104 (2015), 430–436.
63. Li, X., Zhu, D., Jiang, X., Jin, C., Zhang, X., Guo, L., Zhang, J., Hu, X., Li, L., Liu, T., Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients. Hum. Brain Mapp. 35 (2014), 1761–1778.
64. Liang, X., Zou, Q., He, Y., Yang, Y., Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain. Proc. Natl. Acad. Sci. USA 110 (2013), 1929–1934.
65. Liang, X., Zou, Q., He, Y., Yang, Y., Topologically reorganized connectivity architecture of default-mode, executive-control, and salience networks across working memory task loads. Cereb. Cortex 26 (2016), 1501–1511.
66. Liao, X., Yuan, L., Zhao, T., Dai, Z., Shu, N., Xia, M., Yang, Y., Evans, A., He, Y., Spontaneous functional network dynamics and associated structural substrates in the human brain. Front. Hum. Neurosci., 9, 2015, 478.
67. Liu, X., Duyn, J.H., Time-varying functional network information extracted from brief instances of spontaneous brain activity. Proc. Natl. Acad. Sci. USA 110 (2013), 4392–4397.
68. Lowe, M., Mock, B., Sorenson, J., Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage 7 (1998), 119–132.
69. Meunier, D., Lambiotte, R., Bullmore, E.T., Modular and hierarchically modular organization of brain networks. Front. Neurosci., 4, 2010, 200.
70. Meunier, D., Achard, S., Morcom, A., Bullmore, E., Age-related changes in modular organization of human brain functional networks. Neuroimage 44 (2009), 715–723.
71. Moussa, M.N., Steen, M.R., Laurienti, P.J., Hayasaka, S., Consistency of network modules in resting-state FMRI connectome data. PLoS One, 7, 2012, e44428.
72. Mueller, S., Wang, D., Fox, M.D., Yeo, B.T., Sepulcre, J., Sabuncu, M.R., Shafee, R., Lu, J., Liu, H., Individual variability in functional connectivity architecture of the human brain. Neuron 77 (2013), 586–595.
73. Murphy, K., Birn, R.M., Handwerker, D.A., Jones, T.B., Bandettini, P.A., The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?. NeuroImage 44 (2009), 893–905.
74. Newman, M.E., Fast algorithm for detecting community structure in networks. Phys. Rev. E, 69, 2004, 066133.
75. Newman, M.E., Modularity and community structure in networks. Proc. Natl. Acad. Sci. USA 103 (2006), 8577–8582.
76. Pessoa, L., Understanding brain networks and brain organization. Phys. Life Rev. 11 (2014), 400–435.
77. Petanjek, Z., Judas, M., Simic, G., Rasin, M.R., Uylings, H.B., Rakic, P., Kostovic, I., Extraordinary neoteny of synaptic spines in the human prefrontal cortex. Proc. Natl. Acad. Sci. USA 108 (2011), 13281–13286.
78. Pinel, P., Thirion, B., Meriaux, S., Jobert, A., Serres, J., Le Bihan, D., Poline, J.B., Dehaene, S., Fast reproducible identification and large-scale databasing of individual functional cognitive networks. BMC Neurosci., 8, 2007, 91.
79. Power, J.D., A simple but useful way to assess fMRI scan qualities. NeuroImage, 2016, 10.1016/j.neuroimage.2016.1008.1009.
80. Power, J.D., Schlaggar, B.L., Petersen, S.E., Recent progress and outstanding issues in motion correction in resting state fMRI. Neuroimage 105 (2015), 536–551.
81. Power, J.D., Schlaggar, B.L., Lessov-Schlaggar, C.N., Petersen, S.E., Evidence for hubs in human functional brain networks. Neuron 79 (2013), 798–813.
82. Power, J.D., Cohen, A.L., Nelson, S.M., Wig, G.S., Barnes, K.A., Church, J.A., Vogel, A.C., Laumann, T.O., Miezin, F.M., Schlaggar, B.L., Petersen, S.E., Functional network organization of the human brain. Neuron 72 (2011), 665–678.
83. Prichard, D., Theiler, J., Generating surrogate data for time series with several simultaneously measured variables. Phys. Rev. Lett. 73 (1994), 951–954.
84. Richiardi, J., Altmann, A., Milazzo, A.C., Chang, C., Chakravarty, M.M., Banaschewski, T., Barker, G.J., Bokde, A.L., Bromberg, U., Buchel, C., Conrod, P., Fauth-Buhler, M., Flor, H., Frouin, V., Gallinat, J., Garavan, H., Gowland, P., Heinz, A., Lemaitre, H., Mann, K.F., Martinot, J.L., Nees, F., Paus, T., Pausova, Z., Rietschel, M., Robbins, T.W., Smolka, M.N., Spanagel, R., Strohle, A., Schumann, G., Hawrylycz, M., Poline, J.B., Greicius, M.D., consortium, I., Correlated gene expression supports synchronous activity in brain networks. Science 348 (2015), 1241–1244.
85. Rosvall, M., Bergstrom, C.T., Maps of random walks on complex networks reveal community structure. Proc. Natl. Acad. Sci. USA 105 (2008), 1118–1123.
86. Sadaghiani, S., Poline, J.B., Kleinschmidt, A., D'Esposito, M., Ongoing dynamics in large-scale functional connectivity predict perception. Proc. Natl. Acad. Sci. USA 112 (2015), 8463–8468.
87. Schaefer, A., Margulies, D.S., Lohmann, G., Gorgolewski, K.J., Smallwood, J., Kiebel, S.J., Villringer, A., Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI. Front. Hum. Neurosci., 8, 2014, 195.
88. Schultz, D.H., Cole, M.W., Higher intelligence is associated with less task-related brain network reconfiguration. J. Neurosci. 36 (2016), 8551–8561.
89. Shen, X., Tokoglu, F., Papademetris, X., Constable, R.T., Groupwise whole-brain parcellation from resting-state fMRI data for network node identification. Neuroimage 82 (2013), 403–415.
90. Smith, S.M., Fox, P.T., Miller, K.L., Glahn, D.C., Fox, P.M., Mackay, C.E., Filippini, N., Watkins, K.E., Toro, R., Laird, A.R., Beckmann, C.F., Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. USA 106 (2009), 13040–13045.
91. Sporns, O., Betzel, R.F., Modular brain networks. Annu. Rev. Psychol. 67 (2016), 613–640.
92. Steen, M., Hayasaka, S., Joyce, K., Laurienti, P., Assessing the consistency of community structure in complex networks. Phys. Rev. E, 84, 2011, 016111.
93. Tagliazucchi, E., Balenzuela, P., Fraiman, D., Chialvo, D.R., Criticality in large-scale brain FMRI dynamics unveiled by a novel point process analysis. Front. Physiol., 3, 2012, 15.
94. Tagliazucchi, E., Von Wegner, F., Morzelewski, A., Brodbeck, V., Laufs, H., Dynamic BOLD functional connectivity in humans and its electrophysiological correlates. Front. Hum. Neurosci., 6, 2012, 339.
95. Van Essen, D.C., Dierker, D.L., Surface-based and probabilistic atlases of primate cerebral cortex. Neuron 56 (2007), 209–225.
96. Van Essen, D.C., Smith, S.M., Barch, D.M., Behrens, T.E., Yacoub, E., Ugurbil, K., Consortium, W.U.-M.H., The WU-minn human connectome project: an overview. Neuroimage 80 (2013), 62–79.
97. Vinh, N.X., Epps, J., Bailey, J., Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance. J. Mach. Learn. Res. 11 (2010), 2837–2854.
98. Wang, C., Ong, J.L., Patanaik, A., Zhou, J., Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states. Proc. Natl. Acad. Sci. USA 113 (2016), 9653–9658.
99. Wang, D., Buckner, R.L., Fox, M.D., Holt, D.J., Holmes, A.J., Stoecklein, S., Langs, G., Pan, R., Qian, T., Li, K., Baker, J.T., Stufflebeam, S.M., Wang, K., Wang, X., Hong, B., Liu, H., Parcellating cortical functional networks in individuals. Nat. Neurosci. 18 (2015), 1853–1860.
100. Wang, J., Wang, X., Xia, M., Liao, X., Evans, A., He, Y., GRETNA: a graph theoretical network analysis toolbox for imaging connectomics. Front. Hum. Neurosci., 9, 2015, 386.
101. Wang, J., Wang, L., Zang, Y., Yang, H., Tang, H., Gong, Q., Chen, Z., Zhu, C., He, Y., Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Hum. Brain Mapp. 30 (2009), 1511–1523.
102. Weissenbacher, A., Kasess, C., Gerstl, F., Lanzenberger, R., Moser, E., Windischberger, C., Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies. NeuroImage 47 (2009), 1408–1416.
103. Wig, G.S., Schlaggar, B.L., Petersen, S.E., Concepts and principles in the analysis of brain networks. Ann. N. Y. Acad. Sci. 1224 (2011), 126–146.
104. Xia, M., Wang, J., He, Y., BrainNet Viewer: a network visualization tool for human brain connectomics. PLoS One, 8, 2013, e68910.
105. Yan, C., Zang, Y., DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Front. Syst. Neurosci., 4, 2010, 13.
106. Yan, C.G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R.C., Di Martino, A., Li, Q., Zuo, X.N., Castellanos, F.X., Milham, M.P., A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage 76 (2013), 183–201.
107. Yeo, B.T.T., Krienen, F.M., Eickhoff, S.B., Yaakub, S.N., Fox, P.T., Buckner, R.L., Asplund, C.L., Chee, M.W.L., Functional specialization and flexibility in human association cortex. Cereb. Cortex 25 (2015), 3654–3672.
108. Zalesky, A., Breakspear, M., Towards a statistical test for functional connectivity dynamics. Neuroimage 114 (2015), 466–470.
109. Zalesky, A., Fornito, A., Cocchi, L., Gollo, L.L., Breakspear, M., Time-resolved resting-state brain networks. Proc. Natl. Acad. Sci. USA 111 (2014), 10341–10346.
110. Zeng, L.L., Wang, D., Fox, M.D., Sabuncu, M., Hu, D., Ge, M., Buckner, R.L., Liu, H., Neurobiological basis of head motion in brain imaging. Proc. Natl. Acad. Sci. USA 111 (2014), 6058–6062.
111. Zhang, J., Cheng, W., Liu, Z., Zhang, K., Lei, X., Yao, Y., Becker, B., Liu, Y., Kendrick, K.M., Lu, G., Feng, J., Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders. Brain 139 (2016), 2307–2321.
112. Zilles, K., Amunts, K., Individual variability is not noise. Trends Cogn. Sci. 17 (2013), 153–155.