Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

NeuroImage

Volumn 127, Issue , 2016, Pages 242-256

  Hindriks, R ^a   Adhikari, M H ^a   Murayama, Y ^d   Ganzetti, M ^b,c   Mantini, D ^b,c   Logothetis, N K ^d   Deco, G ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b ETH ZURICH   (Switzerland)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

Dynamic functional connectivity; Functional MRI; Resting state; Surrogate data

Indexed keywords

ARTICLE; BOLD SIGNAL; BRAIN FUNCTION; BRAIN REGION; CONTROLLED STUDY; DYNAMIC FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERAL ANESTHESIA; MACACA; METHODOLOGY; PREDICTION; PRIORITY JOURNAL; SIMULATION; SLIDING WINDOW CORRELATION; STATISTICAL ANALYSIS; ANIMAL; BRAIN; BRAIN MAPPING; HUMAN; IMAGE PROCESSING; MALE; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REST;

ANIMALS; BRAIN; BRAIN MAPPING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACACA; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; REST;

EID: 84952892201     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.11.055     Document Type: Article

References (45)

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 2014, 24(3):663-676. (March).
2. Barttfeld P., Uhrig L., Sitt J.D., Sigman M., Jarraya B., Dehaene S. Signature of consciousness in the dynamics of resting-state brain activity. Proc. Natl. Acad. Sci. 2015, 112(3):887-892. (January).
3. Chang C., Glover G.H. Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage 2010, 50(1):81-98. (March).
4. Chang Catie, Liu Zhongming, Chen Michael C., Liu Xiao, Duyn Jeff H. EEG correlates of time-varying BOLD functional connectivity. NeuroImage 2013, 72:227-236. (May).
5. Cribben I., Haraldsdottir R., Atlas L.Y., Wager T.D., Lindquist M.S. Dynamic connectivity regression: determining state-related changes in brain connectivity. NeuroImage 2012, 61(4):907-920. (July).
6. Deco G., Ponce-Alvarez A., Mantini D., Romani G., Hagmann P., Corbetta M. Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations. J. Neurosci. 2013, 33(27):11239-11252.
7. Deco G., Ponce-Alvarez A., Hagmann P., Romani G., Mantini D., Corbetta M. How local excitation-inhibition ratio impacts the whole brain dynamics. J. Neurosci. 2014, 34(23):7886-7898. (June).
8. Destexhe A., Contreras D. Neuronal computations with stochastic network states. Science 2006, 314(5796):85-90. (October).
9. Destexhe A., Rudolph M., Paré D. The high-conductance state of neocortical neurons in vivo. Nat. Rev. Neurosci. 2003, 4(9):739-751. (September).
10. Di X., Biswal B.B. Modulatory interactions of resting-state brain functional connectivity. PLoS One 2013, 8(8). (January).
11. Di X., Biswal B.B. Dynamic brain functional connectivity modulated by resting-state networks. Brain Struct. Funct. 2015, 220:37-46. (September).
12. Friston K.J. Functional and effective connectivity: a review. Brain Connect. 2011, 1(1):13-36. (January).
13. Goense J.B.M., Logothetis N.K. Neurophysiology of the BOLD fMRI signal in awake monkeys. Curr. Biol. 2008, 18(9):631-640. (May).
14. Gonçalves S.I., De Munck J.C., Pouwels P.J.W., Schoonhoven R., Kuijer J.P.A., Maurits N.M., Hoogduin J.M., Van Someren E.J.W., Heethaar R.M., Lopes Da Silva F.H. Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: inter-subject variability. NeuroImage 2006, 30(1):203-213. (March).
15. Hagmann P., Cammoun L., Gigandet X., Meuli R., Honey C.J., Wedeen Van J., Sporns O. Mapping the structural core of human cerebral cortex. PLoS Biol. 2008, 6(7):e159. (July).
16. Handwerker D.A., Roopchansingh V., Gonzalez-Castillo J., Bandettini P.A. Periodic changes in fMRI connectivity. NeuroImage 2012, 63(3):1712-1719. (November).
17. Hasson U., Nir Y., Levy I., Fuhrmann G., Malach R. Intersubject synchronization of cortical activity during natural vision. Science 2004, 303:1634-1640.
18. Hutchison R.M., Womelsdorf T., Allen E.A., Bandettini P.A., Calhoun V.D., Corbetta M., Della Penna S., Duyn J.H., Glover G.H., Gonzalez-Castillo J., Handwerker D.A., Keilholz S., Kiviniemi V., Leopold D.A., de Pasquale F., Sporns O., Walter M., Chang C. Dynamic functional connectivity: promise, issues, and interpretations. NeuroImage 2013, 80:360-378. (October).
19. 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. 2013, 34(9):2154-2177. (September).
20. 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. Non-stationarity in the "resting brain's" modular architecture. PLoS One 2012, 7(6). January.
21. 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):1222-1234. (June).
22. Keilholz S., Magnuson M.E., Pan W.-J., Willis M., Thompson G. Dynamic properties of functional connectivity in the rodent. Brain Connect. 2013, 3(1):31-40.
23. Laufs H., Kleinschmidt A., Beyerle A., Eger E., Salek-Haddadi A., Preibisch C., Krakow K. EEG-correlated fMRI of human alpha activity. NeuroImage 2003, 19:1463-1476. (August).
24. Leonardi N., Richiardi J., Gschwind M., Simioni S., Annoni J.-M., Schluep M., Vuilleumier P., Van De Ville D. Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest. NeuroImage 2013, 83:937-950. (December).
25. Leonardi N., Van De Ville D., Leonardi N., Van De Ville D. On spurious and real fluctuations of dynamic functional connectivity during rest. NeuroImage 2014, 1-7. (September).
26. Lindquist M.A., Xu Y., Nebel M.B., Caffo B.S. Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approach. NeuroImage 2014, 101:531-546. (November).
27. Liu X., Duyn J.H. Time-varying functional network information extracted from brief instances of spontaneous brain activity. Proc. Natl. Acad. Sci. U. S. A. 2013, 110(11):4392-4397. (March).
28. Logothetis N.K., Guggenberger H., Peled S., Pauls J. Functional imaging of the monkey brain. Nature 1999, 2(6):555-562.
29. Logothetis N.K., Pauls J., Augath M., Trinath T., Oeltermann A. Neurophysiological investigation of the basis of the fMRI signal. Nature 2001, 412(12):150-157.
30. Logothetis N.K., Eschenko O., Murayama Y., Augath M., Steudel T., Evrard H.C., Besserve M., Oeltermann A. Hippocampal-cortical interaction during periods of subcortical silence. Nature 2012, 491(7425):547-553. (November).
31. Majeed W., Magnuson M., Hasenkamp W., Schwarb H., Schumacher E.H., Barsalou L., Keilholz S.D. Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans. NeuroImage 2011, 54(2):1140-1150. (January).
32. Mantini D., Gerits A., Nelissen K., Durand J.-B., Joly O., Simone L., Sawamura H., Wardak C., Orban G.A., Buckner R.L., Vanduffel W. Default mode of brain function in monkeys. J. Neurosci. 2011, 31(36):12954-12962. (September).
33. Mantini D., Corbetta M., Romani G.L., Orban G.A., Vanduffel W. Evolutionarily novel functional networks in the human brain?. J. Neurosci. 2013, 33(8):3259-3275. (February).
34. Monti R.P., Hellyer P., Sharp D., Leech R., Anagnostopoulos C., Montana G. Estimating time-varying brain connectivity networks from functional MRI time series. NeuroImage 2014, 103:427-443. (December).
35. Moosmann M., Ritter P., Krastel I., Brink A., Thees S., Blankenburg F., Taskin B., Obrig H., Villringer A. Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy. NeuroImage 2003, 20(1):145-158. (September).
36. Pattinson K.T.S., Rogers R., Mayhew S.D., Tracey I., Wise R.G. Pharmacological FMRI: measuring opioid effects on the BOLD response to hypercapnia. J. Cereb. Blood Flow Metab. 2007, 27(2):414-423. (February).
37. Pereda E., Quian R., Bhattacharya J. Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 2005, 77:1-37.
38. Ponce-Alvarez A., Deco G., Hagmann P., Romani G.L., Mantini D., Corbetta M. Resting-state temporal synchronization networks emerge from connectivity topology and heterogeneity. PLoS Comput. Biol. 2015, 11(2):e1004100. February.
39. Prichard D. Generating surrogate data for time series with several simultaneously measured variables. Phys. Rev. Lett. 1994, 73(7):951-954.
40. Sakoglu U., Pearlson G.D., Kiehl K.A., Wang Y.M., Michael A.M., Calhoun V.D. A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia. Magn. Reson. Mater. Phys. 2010, 23:351-366. (December).
41. Schreiber T., Schmitz A. Surrogate time series. Phys. D Nonlinear Phenom. 2000, 142:346-382.
42. Tagliazucchi E., von Wegner F., Morzelewski A., Brodbeck V., Laufs H. Dynamic BOLD functional dynamic in humans and its electrophysiological correlates. Front. Hum. Neurosci. 2012, 6(December):339. (January).
43. Thompson G.J., Magnuson M.E., Merritt M.D., Schwarb H., Pan W.-J., McKinley A., Tripp L.D., Schumacher E.H., Keilholz S.D. Short-time windows of correlation between large-scale functional brain networks predict vigilance intraindividually and interindividually. Hum. Brain Mapp. 2013, 34(12):3280-3298. (December).
44. Wise R. Combining fMRI with a pharmacokinetic model to determine which brain areas activated by painful stimulation are specifically modulated by remifentanil. NeuroImage 2002, 16(4):999-1014. (August).
45. Zalesky Andrew, Fornito Alex, Cocchi Luca, Gollo Leonardo L., Breakspear Michael Time-resolved resting-state brain networks. Proc. Natl. Acad. Sci. U. S. A. 2014, 111(28):10341-10346. (June).