Reconfiguration of the brain functional network associated with visual task demands

PLoS ONE

Volumn 10, Issue 7, 2015, Pages

  Wen, Xue ^a   Zhang, Delong ^b,c   Liang, Bishan ^a   Zhang, Ruibin ^a   Wang, Zengjian ^a   Wang, Junjing ^a   Liu, Ming ^a   Huang, Ruiwang ^a  

^a SOUTH CHINA NORMAL UNIVERSITY   (China)

^b GUANGDONG PROVINCIAL HOSPITAL OF CHINESE MEDICINE   (China)

^c GUANGZHOU UNIVERSITY OF CHINESE MEDICINE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; COGNITION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; HUMAN EXPERIMENT; MALE; MENTAL LOAD; NORMAL HUMAN; RESTING STATE NETWORK; TASK PERFORMANCE; VISION; VISUAL INFORMATION; VISUAL MEMORY; VISUAL STIMULATION; WORKING MEMORY; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; DECISION MAKING; IMAGE PROCESSING; NERVE CELL NETWORK; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REST; YOUNG ADULT;

ADULT; BRAIN; BRAIN MAPPING; DECISION MAKING; FEMALE; FUNCTIONAL NEUROIMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET; NEURAL PATHWAYS; REST; VISUAL PERCEPTION; YOUNG ADULT;

EID: 84940069410     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0132518     Document Type: Article

References (64)

1. Bullmore E, Sporns O. The economy of brain network organization. Nat Rev Neurosci. 2012;13(5):336-49. doi: 10.1038/nrn3214 PMID: 22498897
2. Sporns O, Chialvo DR, Kaiser M, Hilgetag CC. Organization, development and function of complex brain networks. Trends Cogn Sci. 2004;8(9):418-25. PMID: 15350243
3. Sporns O. The human connectome: a complex network. Ann N Y Acad Sci. 2011;1224:109-25. doi: 10.1111/j.1749-6632.2010.05888.x PMID: 21251014
4. 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. doi: 10.1523/JNEUROSCI.1443-09.2009 PMID: 19515930
5. Rosazza C, Minati L. Resting-state brain networks: literature review and clinical applications. Neurol Sci. 2011;32(5):773-85. doi: 10.1007/s10072-011-0636-y PMID: 21667095
6. Cao H, Plichta MM, Schafer A, Haddad L, Grimm O, Schneider M, et al. Test-retest reliability of fMRIbased graph theoretical properties during working memory, emotion processing, and resting state. NeuroImage. 2014;84:888-900. doi: 10.1016/j.neuroimage.2013.09.013 PMID: 24055506
7. Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. NeuroImage. 2010;52(3):1059-69. doi: 10.1016/j.neuroimage.2009.10.003 PMID: 19819337
8. Watts DJ, Strogatz SH. Collective dynamics of 'small-world' networks. Nature. 1998;393(6684):440-2. PMID: 9623998
9. Bassett DS, Bullmore E. Small-world brain networks. Neuroscientist. 2006;12(6):512-23. PMID: 17079517
10. Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput Biol. 2007;3(2):e17. PMID: 17274684
11. Girvan M, Newman ME. Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America. 2002;99(12):7821-6. PMID: 12060727
12. Fortunato S. Community detection in graphs. Physics Reports. 2010;486(3):75-174.
13. Guimera R, Nunes Amaral LA. Functional cartography of complex metabolic networks. Nature. 2005;433(7028):895-900. PMID: 15729348
14. Cole MW, Bassett DS, Power JD, Braver TS, Petersen SE. Intrinsic and task-evoked network architectures of the human brain. Neuron. 2014;83(1):238-51. doi: 10.1016/j.neuron. 2014.05.014 PMID: 24991964
15. Zhang Z, Liao W, Chen H, Mantini D, Ding JR, Xu Q, et al. Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy. Brain. 2011;134(10):2912-28.
16. Lynall ME, Bassett DS, Kerwin R, McKenna PJ, Kitzbichler M, Muller U, et al. Functional connectivity and brain networks in schizophrenia. J Neurosci. 2010;30(28):9477-87. doi: 10.1523/JNEUROSCI. 0333-10.2010 PMID: 20631176
17. Jiang G, Wen X, Qiu Y, Zhang R, Wang J, Li M, et al. Disrupted topological organization in whole-brain functional networks of heroin-dependent individuals: a resting-state FMRI study. PLoS One. 2013;8(12):e82715. doi: 10.1371/journal.pone.0082715 PMID: 24358220
18. Wang L, Li Y, Metzak P, He Y, Woodward TS. Age-related changes in topological patterns of largescale brain functional networks during memory encoding and recognition. NeuroImage. 2010;50(3):862-72. doi: 10.1016/j.neuroimage.2010.01.044 PMID: 20093190
19. Tian L, Wang J, Yan C, He Y. Hemisphere- and gender-related differences in small-world brain networks: a resting-state functional MRI study. NeuroImage. 2011;54(1):191-202. doi: 10.1016/j. neuroimage.2010.07.066 PMID: 20688177
20. Langer N, Pedroni A, Gianotti LR, Hanggi J, Knoch D, Jancke L. Functional brain network efficiency predicts intelligence. Human brain mapping. 2012;33(6):1393-406. doi: 10.1002/hbm.21297 PMID: 21557387
21. Jin SH, Lin P, Hallett M. Reorganization of brain functional small-world networks during finger movements. Hum Brain Mapp. 2012;33(4):861-72. doi: 10.1002/hbm.21253 PMID: 21484955
22. Wu J, Zhang J, Ding X, Li R, Zhou C. The effects of music on brain functional networks: a network analysis. Neuroscience. 2013;250:49-59. doi: 10.1016/j.neuroscience.2013.06.021 PMID: 23806719
23. Moussa MN, Vechlekar CD, Burdette JH, Steen MR, Hugenschmidt CE, Laurienti PJ. Changes in cognitive state alter human functional brain networks. Front Hum Neurosci. 2011;5:83. doi: 10.3389/fnhum.2011.00083 PMID: 21991252
24. Ma S, Calhoun VD, Eichele T, Du W, Adali T. Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest. Neuroimage. 2012;62(3):1694-704. doi: 10.1016/j. neuroimage.2012.05.048 PMID: 22634855
25. 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. doi: 10.1523/JNEUROSCI.0440-11.2011 PMID: 21632947
26. Rzucidlo JK, Roseman PL, Laurienti PJ, Dagenbach D. Stability of whole brain and regional network topology within and between resting and cognitive states. PLoS ONE. 2013;8(8):e70275. doi: 10.1371/journal.pone.0070275 PMID: 23940554
27. Bohland JW, Bokil H, Allen CB, Mitra PP. The brain atlas concordance problem: quantitative comparison of anatomical parcellations. PLoS One. 2009;4(9):e7200. doi: 10.1371/journal.pone.0007200 PMID: 19787067
28. Fornito A, Zalesky A, Bullmore ET. Network scaling effects in graph analytic studies of human restingstate FMRI data. Front Syst Neurosci. 2010;4:22. doi: 10.3389/fnsys.2010.00022 PMID: 20592949
29. Yan C-G, Zang Y-F. DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI. Front Syst Neurosci. 2010;4:13. doi: 10.3389/fnsys.2010.00013 PMID: 20577591
30. Braun U, Plichta MM, Esslinger C, Sauer C, Haddad L, Grimm O, et al. Test-retest reliability of restingstate connectivity network characteristics using fMRI and graph theoretical measures. Neuroimage. 2012;59(2):1404-12. doi: 10.1016/j.neuroimage.2011.08.044 PMID: 21888983
31. Wang J, Wang L, Zang Y, Yang H, Tang H, Gong Q, et al. Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Hum Brain Mapp. 2009;30(5):1511-23. doi: 10.1002/hbm.20623 PMID: 18649353
32. Chen G, Chen G, Xie C, Ward BD, Li W, Antuono P, et al. A method to determine the necessity for global signal regression in resting-state fMRI studies. Magn Reson Med. 2012;68(6):1828-35. doi: 10. 1002/mrm.24201 PMID: 22334332
33. Fox MD, Zhang D, Snyder AZ, Raichle ME. The global signal and observed anticorrelated resting state brain networks. J Neurophysiol. 2009;101(6):3270-83. doi: 10.1152/jn. 90777.2008 PMID: 19339462
34. Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage. 2009;44(3):893-905. doi: 10.1016/j.neuroimage.2008.09.036 PMID: 18976716
35. Dosenbach NU, Nardos B, Cohen AL, Fair DA, Power JD, Church JA, et al. Prediction of individual brain maturity using fMRI. Science. 2010;329(5997):1358-61. doi: 10.1126/science.1194144 PMID: 20829489
36. Wang JH, Zuo XN, Gohel S, Milham MP, Biswal BB, He Y. Graph theoretical analysis of functional brain networks: test-retest evaluation on short- and long-term resting-state functional MRI data. PLoS One. 2011;6(7):e21976. doi: 10.1371/journal.pone.0021976 PMID: 21818285
37. Power JD, Cohen AL, Nelson SM, Wig GS, Barnes KA, Church JA, et al. Functional network organization of the human brain. Neuron. 2011;72(4):665-78. doi: 10.1016/j.neuron. 2011.09.006 PMID: 22099467
38. Bassett DS, Wymbs NF, Porter MA, Mucha PJ, Carlson JM, Grafton ST. Dynamic reconfiguration of human brain networks during learning. Proc Natl Acad Sci U S A. 2011;108(18):7641-6. doi: 10.1073/pnas.1018985108 PMID: 21502525
39. Wang J, Zuo X, Dai Z, Xia M, Zhao Z, Zhao X, et al. Disrupted functional brain connectome in individuals at risk for Alzheimer's disease. Biol Psychiatry. 2013;73(5):472-81. doi: 10.1016/j.biopsych.2012. 03.026 PMID: 22537793
40. Giessing C, Thiel CM, Alexander-Bloch AF, Patel AX, Bullmore ET. Human brain functional network changes associated with enhanced and impaired attentional task performance. J Neurosci. 2013;33(14):5903-14. doi: 10.1523/JNEUROSCI.4854-12.2013 PMID: 23554472
41. Bernhardt BC, Chen Z, He Y, Evans AC, Bernasconi N. Graph-theoretical analysis reveals disrupted small-world organization of cortical thickness correlation networks in temporal lobe epilepsy. Cereb Cortex. 2011;21(9):2147-57. doi: 10.1093/cercor/bhq291 PMID: 21330467
42. He Y, Chen Z, Evans A. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. J Neurosci. 2008;28(18):4756-66. doi: 10.1523/JNEUROSCI.0141-08. 2008 PMID: 18448652
43. Maslov S, Sneppen K. Specificity and stability in topology of protein networks. Science. 2002;296(5569):910-3. PMID: 11988575
44. Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci. 2006;26(1):63-72. PMID: 16399673
45. Latora V, Marchiori M. Efficient behavior of small-world networks. Phys Rev Lett. 2001;87(19):198701. PMID: 11690461
46. Bassett DS, Greenfield DL, Meyer-Lindenberg A, Weinberger DR, Moore SW, Bullmore ET. Efficient physical embedding of topologically complex information processing networks in brains and computer circuits. PLoS computational biology. 2010;6(4):e1000748. doi: 10.1371/journal.pcbi.1000748 PMID: 20421990
47. Kaiser M, Hilgetag CC. Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems. PLoS Comput Biol. 2006;2(7):e95. PMID: 16848638
48. Di X, Gohel S, Kim EH, Biswal BB. Task vs. rest-different network configurations between the coactivation and the resting-state brain networks. Front Hum Neurosci. 2013;7:493. doi: 10.3389/fnhum.2013. 00493 PMID: 24062654
49. Calhoun VD, Adali T, McGinty VB, Pekar JJ, Watson TD, Pearlson GD. fMRI activation in a visual-perception task: network of areas detected using the general linear model and independent components analysis. NeuroImage. 2001;14(5):1080-8. PMID: 11697939
50. Drobyshevsky A, Baumann SB, Schneider W. A rapid fMRI task battery for mapping of visual, motor, cognitive, and emotional function. NeuroImage. 2006;31(2):732-44. PMID: 16488627
51. Blokland GA, McMahon KL, Hoffman J, Zhu G, Meredith M, Martin NG, et al. Quantifying the heritability of task-related brain activation and performance during the N-back working memory task: a twin fMRI study. Biol Psychol. 2008;79(1):70-9. doi: 10.1016/j.biopsycho.2008.03.006 PMID: 18423837
52. Cohen JD, Perlstein WM, Braver TS, Nystrom LE, Noll DC, Jonides J, et al. Temporal dynamics of brain activation during a working memory task. 1997.
53. Op de Beeck HP, Haushofer J, Kanwisher NG. Interpreting fMRI data: maps, modules and dimensions. Nature reviews Neuroscience. 2008;9(2):123-35. doi: 10.1038/nrn2314 PMID: 18200027
54. Smith SM, Miller KL, Salimi-Khorshidi G, Webster M, Beckmann CF, Nichols TE, et al. Network modelling methods for FMRI. NeuroImage. 2011;54(2):875-91. doi: 10.1016/j.neuroimage.2010.08.063 PMID: 20817103
55. Salvador R, Martinez A, Pomarol-Clotet E, Gomar J, Vila F, Sarro S, et al. A simple view of the brain through a frequency-specific functional connectivity measure. Neuroimage. 2008;39(1):279-89. PMID: 17919927
56. Han Y, Wang J, Zhao Z, Min B, Lu J, Li K, et al. Frequency-dependent changes in the amplitude of lowfrequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study. Neuroimage. 2011;55(1):287-95. doi: 10.1016/j.neuroimage.2010.11.059 PMID: 21118724
57. Power JD, Mitra A, Laumann TO, Snyder AZ, Schlaggar BL, Petersen SE. Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage. 2014;84:320-41. doi: 10.1016/j. neuroimage.2013.08.048 PMID: 23994314
58. Satterthwaite TD, Elliott MA, Gerraty RT, Ruparel K, Loughead J, Calkins ME, et al. An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of restingstate functional connectivity data. Neuroimage. 2013;64:240-56. doi: 10.1016/j.neuroimage.2012.08. 052 PMID: 22926292
59. Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage. 2012;59(3):2142-54. doi: 10.1016/j.neuroimage.2011.10.018 PMID: 22019881
60. Zalesky A, Fornito A, Harding IH, Cocchi L, Yücel M, Pantelis C, et al. Whole-brain anatomical networks: does the choice of nodes matter? Neuroimage. 2010;50(3):970-83. doi: 10.1016/j.neuroimage. 2009.12.027 PMID: 20035887
61. van Wijk BC, Stam CJ, Daffertshofer A. Comparing brain networks of different size and connectivity density using graph theory. PLoS One. 2010;5(10):e13701. doi: 10.1371/journal.pone.0013701 PMID: 21060892
62. Toppi J, de Vico Fallani F, Vecchiato G, Maglione AG, Cincotti F, Mattia D, et al. How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network. Computational and mathematical methods in medicine. 2012;2012.
63. Bialonski S, Wendler M, Lehnertz K. Unraveling spurious properties of interaction networks with tailored random networks. PLoS One. 2011;6(8):e22826. doi: 10.1371/journal.pone.0022826 PMID: 21850239
64. Hosseini SM, Kesler SR. Influence of choice of null network on small-world parameters of structural correlation networks. PLoS One. 2013;8(6):e67354. doi: 10.1371/journal.pone.0067354 PMID: 23840672