How reliable are MEG resting-state connectivity metrics?

NeuroImage

Volumn 138, Issue , 2016, Pages 284-293

  Colclough, G L ^a,b   Woolrich, M W ^a   Tewarie, P K ^c   Brookes, M J ^c   Quinn, A J ^a   Smith, S M ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Connectome; Functional connectivity; Magnetic field spread; MEG; Network analysis; Source leakage

Indexed keywords

ARTICLE; CONNECTOME; CORRELATIONAL STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MAGNETIC FIELD; MATHEMATICAL ANALYSIS; NEUROIMAGING; PRIORITY JOURNAL; RELIABILITY; REPRODUCIBILITY; RESTING STATE NETWORK; TEST RETEST RELIABILITY; ADULT; ALGORITHM; BRAIN CORTEX; COMPARATIVE STUDY; EVALUATION STUDY; FEMALE; MAGNETOENCEPHALOGRAPHY; MALE; NERVE CELL NETWORK; PHYSIOLOGY; PROCEDURES; REST; SENSITIVITY AND SPECIFICITY;

ADULT; ALGORITHMS; CEREBRAL CORTEX; CONNECTOME; FEMALE; HUMANS; MAGNETOENCEPHALOGRAPHY; MALE; NERVE NET; REPRODUCIBILITY OF RESULTS; REST; SENSITIVITY AND SPECIFICITY;

EID: 84973529656     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.05.070     Document Type: Article

References (57)

1. Astolfi, L., Cincotti, F., Mattia, D., Marciani, M.G., Salinari, S., de Vico Fallani, F., Baccala, L.A., Ursino, M., Zavaglia, M., Ding, L., Edgar, J.C., Miller, G.A., He, B., Babiloni, F., Comparison of different cortical connectivity estimators for high-resolution EEG recordings. Hum. Brain Mapp. 28 (2007), 143–157.
2. Aydore, S., Pantazis, D., Leahy, R.M., A note on the phase locking value and its properties. NeuroImage 74 (2013), 231–244, 10.1016/j.neuroimage.2013.02.008.
3. Baccala, L.A., Sameshima, K., Partial directed coherence: a new concept in neural structure determination. Biol. Cybern. 84 (2001), 463–474.
4. Baker, A.P., Brookes, M.J., Rezek, A., Smith, S.M., Behrens, T.E., Smith, P.J.P., Woolrich, M.W., Fast transient networks in spontaneous human brain activity. eLIFE, 3, 2014, e01867, 10.7554/eLife.01867.
5. Brookes, M.J., Stevenson, C.M., Barnes, G.R., Hillebrand, A., Simpson, M.I.G., Francis, S.T., Morris, P.G., Beamformer reconstruction of correlated sources using a modified source model. NeuroImage 34 (2007), 1454–1465.
6. Brookes, M.J., Woolrich, M.W., Luckhoo, H., Price, D., Hale, J.R., Stephenson, M.C., Barnes, G.R., Smith, S.M., Morris, P.G., Investigating the electrophysiological basis of resting state networks using magnetoencephalography. Proc. Natl. Acad. Sci. U. S. A. 108 (2011), 16783–16788.
7. Brookes, M.J., Woolrich, M.W., Barnes, G.R., Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage. NeuroImage 63 (2012), 910–920.
8. Brookes, M.J., O'Neill, G.C., Hall, E.L., Woolrich, M.W., Baker, A., Palazzo-Corner, S., Robson, S.E., Barnes, G.R., Measuring temporal, spectral and spatial changes in electrophysiological brain network connectivity. NeuroImage 91 (2014), 282–299, 10.1016/j.neuroimage.2013.12.066.
9. Colclough, G.L., Brookes, M.J., Smith, S.M., Woolrich, M.W., A symmetric multivariate leakage correction for MEG connectomes. NeuroImage 117 (2015), 439–448, 10.1016/j.neuroimage.2015.03.071.
10. Dalal, S.S., Sekihara, K., Nagarajan, S.S., Modified beamformers for coherent source region suppresion. IEEE Trans. Biomed. Eng. 53 (2006), 1357–1363, 10.1109/TBME.2006.873752.
11. de Pasquale, F., Della Penna, S., Snyder, A.Z., Lewis, P.S., Mantini, D., Marzetti, L., Belardinelli, P., Ciancetta, L., Pizzella, V., Romani, G.L., Corbetta, M., Temporal dynamics of spontaneous MEG activity in brain networks. Proc. Natl. Acad. Sci. U. S. A. 107 (2010), 6040–6045, 10.1073/pnas.0913863107.
12. de Pasquale, F., Della Penna, S., Sporns, O., Romani, G.L., Corbetta, M., A dynamic core network and global efficiency in the resting human brain. Cereb. Cortex, 2015, 10.1093/cercor/bhv185.
13. Deuker, L., Bullmore, E.T., Smith, M., Christensen, S., Nathan, P.J., Rockstroh, B., Bassett, D.S., Reproducability of graph metrics of human brain functional networks. NeuroImage 47 (2009), 1460–1468.
14. Gollo, L.L., Mirasso, C., Sporns, O., Breakspear, M., Mechanisms of zero-lag synchronization in cortical motifs. PLoS Comput. Biol., 10, 2014, e1003548, 10.1371/journal.pcbi.1003548.
15. Granger, C.W.J., Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37 (1969), 424–438.
16. Hardmeier, M., Hatz, F., Bousleiman, H., Schindler, C., Stam, C.J., Fuhr, P., Reproducability of functional connectivity and graph measures based on the phase lag index (PLI) and weighted phase lag index (WPLI) derived from high resolution EEG. PLoS ONE, 9, 2014, e108648, 10.1371/journal.pone.0108648.
17. Hauk, O., Stenroos, M., A framework for the design of flexible cross-talk functions for spatial filtering of eeg/meg data: DeFleCT. Hum. Brain Mapp. 35 (2014), 1642–1653, 10.1002/hbm.22279.
18. Hipp, J.F., Hawellek, D.J., Corbetta, M., Siegel, M., Engel, A.K., Large-scale cortical correlation structure of spontaneous oscillatory activity. Nat. Neurosci. 15 (2012), 884–890.
19. Hui, H.B., Pantazis, D., Bressler, S.L., Leahy, R.M., Identifying true cortical interactions in meg using the nulling beamformer. NeuroImage 49 (2010), 3161–3174.
20. Jin, S.H., Seol, J., Kim, J.S., Chung, C.K., How reliable are the functional connectivity networks of MEG in resting states?. J. Neurophys. 106 (2011), 2888–2895, 10.1152/jn.00335.2011.
21. Kaminski, M., Blinowska, K.J., Directed transfer function is not influenced by volume conduction—inexpedient pre-processing should be avoided. Front. Comput. Neurosci., 8, 2014, 61, 10.3389/fncom.2014.00061.
22. Lachaux, J.P., Rodriguez, E., Martinerie, J., Varela, F.J., Measuring phase synchrony in brain signals. Hum. Brain Mapp. 8 (1999), 194–208.
23. Lachaux, J.P., Rodriguez, E., le van Quyen, M., Lutz, A., Martinerie, J., Varela, F.J., Studying single-trials of phase synchronous activity in the brain. Int. J. Bifurcation Chaos 10 (2000), 2429–2439.
24. Larson-Prior, L.J., Oostenveld, R., Della Penna, S., Michalareas, G., Prior, F., Babajani-Feremi, A., Schoffelen, J.M., Marzetti, L., de Pasquale, F., Di Pompeo, F., Stout, J., Woolrich, M.W., Luo, Q., Bucholz, R., Fries, P., Pizella, V., Romani, G.L., Corbetta, M., Snyder, A.Z., Consortium, W.M.H., Adding dynamics to the human connectome project with MEG. NeuroImage 80 (2013), 190–201, 10.1016/j.neuroimage.2013.05.056.
25. Leistritz, L., Pester, B., Doering, A., Schiecke, K., Babiloni, F., Astolfi, L., Witte, H., Time-variant partial directed coherence for analysing connectivity: a methodological study. Phil. Trans. R. Soc. A, 371, 2013, 20110616, 10.1098/rsta.2011.0616.
26. Luckhoo, H., Hale, J.R., Stokes, M.G., Nobre, A.G., Morris, P.G., Brookes, M.J., Woolrich, M.W., Inferring task-related networks using independent component analysis in magnetoencephalography. NeuroImage 62 (2012), 530–541.
27. Maldjian, J.A., Davenport, E.M., Whitlow, C.T., Graph theoretical analysis of resting-state MEG data: identifying interhemispheric connectivity and the default mode. NeuroImage 96 (2014), 88–94.
28. Marrelec, G., Krainik, A., Duffau, H., Pelegrini-Issac, M., Lehericy, S., Doyon, J., Benali, H., Partial correlation for functional brain interactivity investigation in functional MRI. NeuroImage 32 (2006), 228–237.
29. Marzetti, L., Della Penna, S., Snyder, A.Z., Pizzella, V., Nolte, G., de Pasquale, F., Romani, G.L., Corbetta, M., Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure. NeuroImage 79 (2013), 172–183, 10.1016/j.neuroimage.2013.04.062.
30. Mazumder, R., Hastie, T., The graphical lasso: new insights and alternatives. Electron. J. Stat. 6 (2012), 2125–2149, 10.1214/12-EJS740.
31. Mehrkanoon, S., Breakspear, M., Britz, J., Boonstra, T.W., Intrinsic coupling modes in source-reconstructed electroencephalography. Brain Connectivity 4 (2014), 812–825, 10.1089/brain.2014.0280.
32. Nolte, G., Bai, O., Wheaton, L., Mari, Z., Vorbach, S., Hallett, M., Identifying true brain interaction from EEG using the imaginary part of coherency. J. Clin. Neurophysiol. 115 (2004), 2292–2307, 10.1016/j.clinph.2004.04.029.
33. Nolte, G., Ziehe, A., Nikulin, V.V., Schlögl, A., Krämer, N., Brismar, T., Müller, K.R., Robustly estimating the flow direction of information in complex physical systems. Phys. Rev. Lett., 100, 2008, 234101.
34. O'Neill, G.C., Bauer, M., Woolrich, M.W., Morris, P.G., Barnes, G.R., Brookes, M.J., Dynamic recruitment of resting state sub-networks. NeuroImage 115 (2015), 85–95, 10.1016/j.neuroimage.2015.04.030.
35. Omidvarnia, A., Azemi, G., Boashash, B., O'Toole, J.M., Colditz, P., Vanhatalo, S., Measuring time-varying information flow for scalp EEG signals: orthogonalized partial directed coherence. IEEE Trans. Biomed. Eng. 61 (2014), 680–693, 10.1109/TBME.20213.2286394.
36. Paluš, M., Detecting phase synchronization in noisy systems. Phys. Lett. A 235 (1997), 341–351.
37. Palva, S., Palva, J.M., Discovering oscillatory interaction networks with M/EEG: challenges and breakthroughs. Trends Cogn. Sci. 16 (2012), 219–230, 10.1016/j.tics.2012.02.004.
38. Peng, H., Long, F., Ding, C., Feature selection based on mutual information: criteria of max-dependency, max-relevance and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27 (2005), 1226–1238.
39. Robinson, S.E., Vrba, J., Functional neuroimaging by Synthetic Aperture Magnetometry (SAM). Yoshimoto, T., Kotani, M., Kuriki, S., Karibe, H., Nakasato, N., (eds.) Recent Advances in Biomagnetism, 1999, Tohoku Univ. Press, Sendai, Japan, 302–305.
40. Roelfsema, P.R., Engel, A.K., König, P., Singer, W., Visuomotor integration is associated with zero time-lag synchronization among cortical areas. Nature 385 (1997), 157–161, 10.1038/385157a0.
41. Schoffelen, J.M., Gross, J., Source connectivity analysis with MEG and EEG. Hum. Brain Mapp. 30 (2009), 1857–1865, 10.1002/hbm.20745.
42. Smith, S.M., Beckmann, C.F., Ramnani, N., Woolrich, M.W., Bannister, P.R., Jenkinson, M., Matthews, P.M., McGonigle, D.J., Variability in fMRI: a re-examination of inter-session differences. Hum. Brain Mapp. 24 (2005), 248–257.
43. Smith, S.M., Miller, K.L., Salimi-Khorshidi, G., Webster, M., Beckmann, C.F., Nichols, T.E., Ramsey, J.D., Woolrich, M.W., Network modelling methods for FMRI. NeuroImage 54 (2011), 875–891.
44. Smith, S.M., Vidaurre, D., Beckmann, C.F., Glasser, M.F., Jenkinson, M., Miller, K.L., Nichols, T.E., Robinson, E., Salimi-Khorshidi, G., Woolrich, M.W., Barch, D.M., Ugurbil, K., Van Essen, D.C., Functional connectomics from resting-state fMRI. Trends Cogn. Sci. 17 (2013), 666–682.
45. Stam, C.J., Modern network science of neurological disorders. Nat. Rev. Neurosci. 15 (2014), 683–695.
46. Stam, C.J., van Straaten, E.C.W., The organization of physiological brain networks. Clin. Neurophysiol. 123 (2012), 1067–1087, 10.1016/j.clinph.2012.01.011.
47. Stam, C.J., Nolte, G., Daffertshofer, A., Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Hum. Brain Mapp. 28 (2007), 1178–1193, 10.1002/hbm.20346.
48. Stam, C.J., de Haan, W., Daffertshofer, A., Jones, B.F., Manshanden, I., van Cappellen van Walsum, A.M., Montez, T., Verbunt, J.P.A., de Munck, J.C., van Dijk, B.W., Berendse, H.W., Sheltens, P., Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease. Brain 132 (2009), 213–224.
49. Tewarie, P., Hillebrand, A., van Dellen, E., Schoonheim, M.M., Barkhof, F., Polman, C.H., Beauliue, C., Gong, G., van Dijk, B.W., Stam, C.J., Structural degress predicts functional network connectivity: a multimodal resting-state fMRI and MEG study. NeuroImage 97 (2014), 296–307, 10.1016/j.neuroimage.2014.04.038.
50. Van Essen, D.C., Smith, S.M., Barch, D.M., Behrens, T.E., Yacoub, E., Ugurbil, K., for the WU-Minn HCP Consortium, The WU-Minn human Connectome project: an overview. NeuroImage 80 (2013), 62–97.
51. van Straaten, E.C.W., Stam, C.J., Structure out of chaos: functional brain network analysis with EEG, MEG and functional MRI. Eur. Neuropsychopharmacol. 23 (2013), 7–18.
52. Van Veen, B.D., van Drongelen, W., Yuchtman, M., Suzuki, A., Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans. Biomed. Eng. 44 (1997), 867–880.
53. Vinck, M., Oostenveld, R., van Wingerden, M., Battaglia, F., Pennartz, C.M.A., An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample bias. NeuroImage 55 (2011), 1548–1565.
54. Wang, H.E., Benar, C.G., Quilichini, P.P., Friston, K.J., Jirsa, V., Bernand, C., A systematic framework for functional connectivity measures. Front. Neurosci., 8, 2014, 405, 10.3389/fnins.2014.00405.
55. Wens, V., Marty, B., Mary, A., Op de Beeck, M., Goldman, S., Van Bogaert, P., Peigneux, P., De Tiege, X., A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping. Hum. Brain Mapp. 36 (2015), 4604–4621, 10.1002/hbm.22943.
56. Wilmer, A., de Lussanet, M., Lappe, M., Time-delayed mutual information of the phase as a measure of functional connectivity. PLoS ONE, 7, 2012, e044633, 10.1371/journal.pone.0044633.
57. Woolrich, M.W., Hunt, L., Groves, A.R., Barnes, G.R., MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization. NeuroImage 57 (2011), 1466–1479.