Dynamic brain functional connectivity modulated by resting-state networks

Brain Structure and Function

Volumn 220, Issue 1, 2015, Pages 37-46

  Di, Xin ^a   Biswal, Bharat B ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Default mode network; Dynamic connectivity; fMRI; Nonlinear connectivity; Resting state; Salience network

Indexed keywords

ARTICLE; CEREBROSPINAL FLUID; DEFAULT MODE NETWORK; DORSAL ATTENTION NETWORK; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INTRINSIC ACTIVITY; NUCLEAR MAGNETIC RESONANCE SCANNER; RESTING STATE NETWORK; TASK POSITIVE NETWORK; WHITE MATTER; ADOLESCENT; ADULT; ANATOMY AND HISTOLOGY; BIOLOGICAL MODEL; BLOOD; BRAIN; BRAIN MAPPING; FEMALE; IMAGE PROCESSING; MALE; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; REST; TIME FACTOR; VASCULARIZATION; YOUNG ADULT;

OXYGEN;

ADOLESCENT; ADULT; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; OXYGEN; PRINCIPAL COMPONENT ANALYSIS; REST; TIME FACTORS; YOUNG ADULT;

EID: 84903853645     PISSN: 18632653     EISSN: 18632661     Source Type: Journal    
DOI: 10.1007/s00429-013-0634-3     Document Type: Article

References (57)

1. Achard S, Bullmore E (2007) Efficiency and cost of economical brain functional networks. PLoS Comput Biol 3:e17. doi:10.1371/journal.pcbi.0030017
2. Allen EA, Damaraju E, Plis SM, et al. (2012) Tracking whole-brain connectivity dynamics in the resting state. Cereb cortex (New York, NY: 1991). doi:10.1093/cercor/bhs352
3. Allman JM, Watson KK, Tetreault NA, Hakeem AY (2005) Intuition and autism: a possible role for Von Economo neurons. Trends Cogn Sci 9:367–373. doi:10.1016/j.tics.2005.06.008
4. Allman JM, Tetreault NA, Hakeem AY et al (2010) The von Economo neurons in frontoinsular and anterior cingulate cortex in great apes and humans. Brain Struct Funct 214:495–517. doi:10.1007/s00429-010-0254-0
5. Andrews-Hanna JR, Reidler JS, Sepulcre J et al (2010) Functional-anatomic fractionation of the brain’s default network. Neuron 65:550–562
6. Bassett DS, Wymbs NF, Porter MA et al (2011) Dynamic reconfiguration of human brain networks during learning. Proc Natl Acad Sci USA 108:7641–7646. doi:10.1073/pnas.1018985108
7. Beckmann CF, DeLuca M, Devlin JT, Smith SM (2005) Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci 360:1001–1013. doi:10.1098/rstb.2005.1634
8. Biswal B, Yetkin FZ, Haughton VM, Hyde JS (1995) Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med: Off J Soc Magn Reson Med/Soc Magn Reson Med 34:537–541. doi:10.1002/mrm.1910340409
9. Biswal BB, Mennes M, Zuo X-N et al (2010) Toward discovery science of human brain function. Proc Natl Acad Sci USA 107:4734–4739. doi:10.1073/pnas.0911855107
10. Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech: Theory Exp 2008:P10008. doi:10.1088/1742-5468/2008/10/P10008
11. Bonnelle V, Ham TE, Leech R, et al. (2012) Salience network integrity predicts default mode network function after traumatic brain injury. Proc Natl Acad Sci 109(12):4690–4695. doi:10.1073/pnas.1113455109
12. Bullmore E, Sporns O (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10:186–198. doi:10.1038/nrn2575
13. Calhoun VD, Adali T, Pearlson GD, Pekar JJ (2001) A method for making group inferences from functional MRI data using independent component analysis. Hum Brain Mapp 14:140–151
14. Cauda F, Torta DME, Sacco K et al (2013) Functional anatomy of cortical areas characterized by Von Economo neurons. Brain Struct Funct 218:1–20. doi:10.1007/s00429-012-0382-9
15. Chan RCK, Di X, McAlonan GM, Gong Q (2011) Brain anatomical abnormalities in high-risk individuals, first-episode, and chronic schizophrenia: an activation likelihood estimation meta-analysis of illness progression. Schizophr Bull 37:177–188. doi:10.1093/schbul/sbp073
16. Chang C, Glover GH (2010) Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage 50:81–98. doi:10.1016/j.neuroimage.2009.12.011
17. Cole DM, Smith SM, Beckmann CF (2010) Advances and pitfalls in the analysis and interpretation of resting-state FMRI data. Frontiers Syst Neurosci 4:8. doi:10.3389/fnsys.2010.00008
18. Critchley HD, Elliott R, Mathias CJ, Dolan RJ (2000) Neural activity relating to generation and representation of galvanic skin conductance responses: a functional magnetic resonance imaging study. J Neurosci 20:3033–3040
19. Dimitriadis SI, Laskaris NA, Tsirka V et al (2012) An EEG study of brain connectivity dynamics at the resting state. Nonlinear Dynamics, Psychol Life Sci 16:5–22
20. Dosenbach NUF, Nardos B, Cohen AL et al (2010) Prediction of individual brain maturity using fMRI. Science (New York, NY) 329:1358–1361. doi:10.1126/science.1194144
21. Fan J, Xu P, Van Dam NT et al (2012) Spontaneous brain activity relates to autonomic arousal. J Neurosci 32:11176–11186
22. Fox MD, Snyder AZ, Vincent JL et al (2005) The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA 102:9673–9678
23. Friston KJ (1994) Functional and effective connectivity in neuroimaging: a synthesis. Hum Brain Mapp 2:56–78. doi:10.1002/hbm.460020107
24. Friston KJ, Harrison L, Penny W (2003) Dynamic causal modelling. NeuroImage 19:1273–1302
25. Goebel R, Roebroeck A, Kim D-S, Formisano E (2003) Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magn Reson Imaging 21:1251–1261
26. Handwerker DA, Roopchansingh V, Gonzalez-Castillo J, Bandettini PA (2012) Periodic changes in fMRI connectivity. NeuroImage. doi:10.1016/j.neuroimage.2012.06.078
27. He Y, Chen Z, Evans A (2008) Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer’s disease. J Neurosci: Off J Soc Neurosci 28:4756–4766. doi:10.1523/JNEUROSCI.0141-08.2008
28. Kang J, Wang L, Yan C et al (2011) Characterizing dynamic functional connectivity in the resting brain using variable parameter regression and Kalman filtering approaches. NeuroImage 56:1222–1234. doi:10.1016/j.neuroimage.2011.03.033
29. Kitzbichler MG, Henson RNA, Smith ML et al (2011) Cognitive effort drives workspace configuration of human brain functional networks. J Neurosci: Off J Soc Neurosci 31:8259–8270. doi:10.1523/JNEUROSCI.0440-11.2011
30. Kiviniemi V, Vire T, Remes J et al (2011) A sliding time-window ICA reveals spatial variability of the default mode network in time. Brain Connect 1:339–347. doi:10.1089/brain.2011.0036
31. Laird AR, Eickhoff SB, Li K et al (2009) Investigating the functional heterogeneity of the default mode network using coordinate-based meta-analytic modeling. J Neurosci: Off J Soc Neurosci 29:14496–14505. doi:10.1523/JNEUROSCI.4004-09.2009
32. Liao W, Marinazzo D, Pan Z et al (2009) Kernel Granger causality mapping effective connectivity on FMRI data. IEEE Trans Med Imaging 28:1825–1835. doi:10.1109/TMI.2009.2025126
33. Liao W, Mantini D, Zhang Z et al (2010) Evaluating the effective connectivity of resting state networks using conditional Granger causality. Biol Cybern 102:57–69
34. Liao W, Ding J, Marinazzo D et al (2011) Small-world directed networks in the human brain: multivariate Granger causality analysis of resting-state fMRI. NeuroImage 54:2683–2694. doi:10.1016/j.neuroimage.2010.11.007
35. Liu X, Duyn JH (2013) Time-varying functional network information extracted from brief instances of spontaneous brain activity. Proc Natl Acad Sci 110(11):4392–4397. doi:10.1073/pnas.1216856110
36. Manoliu A, Riedl V, Doll A et al (2013a) Insular dysfunction reflects altered between-network connectivity and severity of negative symptoms in schizophrenia during psychotic remission. Frontiers Humn Neurosci. doi:10.3389/fnhum.2013.00216
37. Manoliu A, Riedl V, Zherdin A, et al. (2013b) Aberrant dependence of default mode/central executive network interactions on anterior insular salience network activity in Schizophrenia. Schizophr Bull. doi:10.1093/schbul/sbt037
38. Menon V (2011) Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci 15:483–506. doi:10.1016/j.tics.2011.08.003
39. Menon V, Uddin LQ (2010) Saliency, switching, attention and control: a network model of insula function. Brain Struct Funct 214:655–667. doi:10.1007/s00429-010-0262-0
40. Newman MEJ (2006) Modularity and community structure in networks. Proc Natl Acad Sci USA 103:8577–8582. doi:10.1073/pnas.0601602103
41. Palaniyappan L, Liddle PF (2012) Does the salience network play a cardinal role in psychosis? An emerging hypothesis of insular dysfunction. J Psychiatry Neurosci: JPN 37:17–27. doi:10.1503/jpn.100176
42. Raichle ME, MacLeod AM, Snyder AZ et al (2001) A default mode of brain function. Proc Natl Acad Sci USA 98:676–682. doi:10.1073/pnas.98.2.676
43. Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: uses and interpretations. NeuroImage 52:1059–1069. doi:10.1016/j.neuroimage.2009.10.003
44. Rubinov M, Sporns O (2011) Weight-conserving characterization of complex functional brain networks. NeuroImage 56:2068–2079. doi:10.1016/j.neuroimage.2011.03.069
45. Rubinov M, Knock SA, Stam CJ et al (2009) Small-world properties of nonlinear brain activity in schizophrenia. Hum Brain Mapp 30:403–416. doi:10.1002/hbm.20517
46. Seeley WW, Menon V, Schatzberg AF et al (2007) Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci: Off J Soc Neurosci 27:2349–2356. doi:10.1523/JNEUROSCI.5587-06.2007
47. Seghier ML, Friston KJ (2013) Network discovery with large DCMs. NeuroImage 68:181–191. doi:10.1016/j.neuroimage.2012.12.005
48. Shulman GL, Fiez JA, Corbetta M et al (1997) Common blood flow changes across visual tasks: II. decreases in cerebral cortex. J Cogn Neurosci 9:648–663. doi:10.1162/jocn.1997.9.5.648
49. Spreng RN, Sepulcre J, Turner GR et al (2013) Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain. J Cogn Neurosci 25:74–86. doi:10.1162/jocn_a_00281
50. Sridharan D, Levitin DJ, Menon V (2008) A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc Natl Acad Sci USA 105:12569–12574. doi:10.1073/pnas.0800005105
51. Stephan KE, Kasper L, Harrison LM et al (2008) Nonlinear dynamic causal models for fMRI. NeuroImage 42:649–662. doi:10.1016/j.neuroimage.2008.04.262
52. Tagliazucchi E, Balenzuela P, Fraiman D, Chialvo DR (2012) Criticality in large-scale brain FMRI dynamics unveiled by a novel point process analysis. Frontiers Physiol 3:15. doi:10.3389/fphys.2012.00015
53. Vanhaudenhuyse A, Demertzi A, Schabus M et al (2011) Two distinct neuronal networks mediate the awareness of environment and of self. J Cogn Neurosci 23:570–578. doi:10.1162/jocn.2010.21488
54. Watts DJ, Strogatz SH (1998) Collective dynamics of “small-world” networks. Nature 393:440–442. doi:10.1038/30918
55. Wu G-R, Liao W, Stramaglia S et al (2013) A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Med Image Anal 17:365–374. doi:10.1016/j.media.2013.01.003
56. Yan C, He Y (2011) Driving and driven architectures of directed small-world human brain functional networks. PLoS ONE 6:e23460. doi:10.1371/journal.pone.0023460
57. Zhuang J, LaConte S, Peltier S et al (2005) Connectivity exploration with structural equation modeling: an fMRI study of bimanual motor coordination. NeuroImage 25:462–470. doi:10.1016/j.neuroimage.2004.11.007