Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage

NeuroImage

Volumn 63, Issue 2, 2012, Pages 910-920

  Brookes, M J ^a   Woolrich, M W ^b   Barnes, G R ^c  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Functional connectivity; MEG; Multivariate analysis; Neural oscillations

Indexed keywords

ARTICLE; BRAIN NERVE CELL; BRAIN REGION; CELL FUNCTION; CONCEPTUAL FRAMEWORK; DATA ANALYSIS; ELECTROENCEPHALOGRAM; FALSE POSITIVE RESULT; IMAGE ANALYSIS; LINEAR SYSTEM; MAGNETOENCEPHALOGRAPHY; MULTIVARIATE ANALYSIS; NEUROTRANSMISSION; OSCILLATION; PRIORITY JOURNAL; PROCESS MODEL; QUANTITATIVE ANALYSIS; RADIOFREQUENCY; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS; SYSTEM ANALYSIS; TASK PERFORMANCE; VOXEL BASED MORPHOMETRY;

BRAIN; BRAIN MAPPING; HUMANS; LINEAR MODELS; MAGNETOENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; NEURAL PATHWAYS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84866169453     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.03.048     Document Type: Article

References (42)

1. Barnes G.R., Litvak V., Brookes M.J., Friston K.J. Controlling false positive rates in mass-multivariate tests for electromagnetic responses. NeuroImage 2011, 1072-1081.
2. Brookes M.J., Zumer J.M., Stevenson C.M., Hale J.R., Barnes G.R., Vrba J., Morris P.G. Investigating spatial specificity and data averaging in MEG. NeuroImage 2010, 49:525-538.
3. Brookes M.J., Vrba J., Robinson S.E., Stevenson C.M., Peters A.P., Barnes G.R., Hillebrand A., Morris P.G. Optimising experimental design for MEG beamformer imaging. NeuroImage 2008, 39:1788-1802.
4. Brookes M.J., Hale J.R., Zumer J.M., Stevenson C.M., Francis S.T., Barnes G.R., Owen J.P., Morris P.G., Nagarajan S.S. Measuring functional connectivity using MEG: methodology and comparison with fcMRI. NeuroImage 2011, 56:1082-1104.
5. Brookes M.J., Woolrich M., 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 MEG. Proc. Natl. Acad. Sci. U.S.A. 2011, 108(40):16783-16788.
6. Canolty R.T., Edwards E., Dalal S.S., Soltani M., Nagarajan S.S., Kirsch H.E., Berger M.S., Barbaro N.M., Knight R.T. High gamma power is phase-locked to theta oscillations in human neocortex. Science 2006, 313:1626-1628.
7. Chatfield C., Collins A.J. Introduction to Multivariate Analysis 1980, Chapman and Hall, London.
8. de Pasquale F., Della Penna S., Snyder A.Z., Lewis C., Mantini D., Marzetti A., 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. 2010, 107:6040-6045.
9. Diwakar M., Huang M.X., Srinivasan R., Harrington D.L., Robb A., Angeles A., Muzzatti L., Pakdaman R., Song T., Theilmann R.J., Lee R.R. Dual-core beamformer for obtaining highly correlated neuronal networks in MEG. NeuroImage 2011, 54:253-263.
10. Friston K., Chu C., Mourão-Miranda J., Hulme O., Rees G., Penny W., Ashburner J. Bayesian decoding of brain images. NeuroImage 2008, 39:181-205.
11. Friston K.J. Schizophrenia and the disconnection hypothesis. Acta Psychiatr. Scand. Suppl. 1999, 395:68-79.
12. Gaetz W., Edgar J., Wang D., Roberts T. Relating MEG measured motor cortical oscillations to resting γ-aminobutyric acid (GABA) concentration. NeuroImage 2011, 55:616-621.
13. Gow D.W., Segawa J.A., Ahlfors S.P., Lin F.H. Lexical influences on speech perception: a Granger causality analysis of MEG and EEG source estimates. NeuroImage 2008, 43:614-623.
14. Gross J., Kujala J., Hamalainen M., Timmermann L., Schnitzler A., Salmelin R. Dynamic imaging of coherent sources: studying neural interactions in the human brain. Proc. Natl. Acad. Sci. U. S. A. 2001, 98:694-699.
15. Gross J., Timmermann L., Kujala J., Dirks M., Schmitz F., Salmelin R., Schnitzler A. The neural basis of intermittent motor control in humans. Proc. Natl. Acad. Sci. U. S. A. 2002, 99:2299-2302.
16. Guggisberg A.G., Honma S.M., Findlay A.M., Dalal S.S., Kirsch H.E., Berger M.S., Nagarajan S.S. Mapping functional connectivity in patients with brain lesions. Ann. Neurol. 2008, 63:193-203.
17. Huang M.X., Mosher J.C., Leahy R.M. A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG. Phys. Med. Biol. 1999, 44:423-440.
18. Ioannides A.A., Liu L.C., Kwapien J., Drozdz S., Streit M. Coupling of regional activations in a human brain during an object and face affect recognition task. Hum. Brain Mapp. 2000, 11:77-92.
19. Jerbi K., Lachaux J.P., N'Diaye K., Pantazis D., Leahy R.M., Garnero L., Baillet S. Coherent neural representation of hand speed in humans revealed by MEG imaging. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:7676-7681.
20. Leopold D.A., Murayama Y., Logothetis N.K. Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. Cereb. Cortex 2003, 13:422-433.
21. Liu Z., Fukunaga M., de Zwart J.A., Duyn J.H. Large-scale spontaneous fluctuations and correlations in brain electrical activity observed with magnetoencephalography. NeuroImage 2010, 102-111.
22. Mantini D., Perucci M.G., Del Gratta C., Romani G.L., Corbetta M. Electrophysiological signatures of resting state networks in the human brain. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:13170-13175.
23. Nolte G., Bai O., Wheaton L., Mari Z., Vorbach S., Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin. Neurophysiol. 2004, 115:2292-2307.
24. 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. 2008, 100.
25. Ramnania N., Behrens T.E.J., Penny W., Matthews P.M. New approaches for exploring anatomical and functional connectivity in the human brain. Biol. Psychiatry 2004, 56:613-619.
26. Robinson S., Vrba J. Functional neuroimaging by synthetic aperture magnetometry. Recent Advances in Biomagnetism 1998, 302-305. Tohoku Univ Press, Sendai, Japan. T. Yoshimoto, M. Kotani, S. Kuriki, H. Karibe, N. Nakasato (Eds.).
27. Rodriguez E., George N., Lachaux J., Martinerie J., Renault B., Varela F. Perception's shadow: long-distance synchronization of human brain activity. Nature 1999, 397:430-433.
28. Rosa M.J., Bestmann S., Harrison L., Penny W. Bayesian model selection maps for group studies. NeuroImage 2010, 49:217-224.
29. Sarvas J. Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. Phys. Med. Biol. 1987, 32:11-22.
30. Schlögl A., Supp G. Analyzing event-related EEG data with multivariate autoregressive parameters. Prog. Brain Res. 2006, 159:135-147.
31. Schnitzler A., Gross J. Normal and pathological oscillatory communication in the brain. Nat. Rev. Neurosci. 2005, 6.
32. Schoffelen J.M., Gross J. Source connectivity analysis with MEG and EEG. Hum. Brain Mapp. 2009, 30:1857-1865.
33. Singer W. Neuronal synchrony: a versatile code for the definition of relations?. Neuron 1999, 24:49-65.
34. Smith S.M., Fox P.T., Miller K.L., Glahn D.C., Fox M., Mackaya C.E., Filippini N., Watkins K.E., Toro R., Laird A.R., Beckmanna C.F. Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:13040-13045.
35. Soto J.L., Pantazis D., Jerbi K., Baillet S., Leahy R.M. Canonical correlation analysis applied to functional connectivity in MEG. IEEE International Symposium on Biomedical Imaging, From Nano to Macro, Rotterdam, The Netherlands 2010.
36. Soto J.L.P., Pantazis D., Jerbi K., Lachaux J.P., Garnero L., Leahy R.M. Detection of event-related modulations of oscillatory brain activity with multivariate statistical analysis of MEG data. Hum. Brain Mapp. 2009, 30:1922-1934.
37. Stevenson C.M., Brookes M.J., Morris P.G. Beta-Band correlates of the fMRI BOLD response. Hum. Brain Mapp. 2011, 32:182-197.
38. Tass P., Rosenblum M.G., Weule J., Kurths J., Pikovsky A., Volkmann J., Schnitzler A., Freund H.J. Detection of n:m phase locking from noisy data: application to magnetoencephalography. Phys. Rev. Lett. 1998, 81:3291-3294.
39. Van Drongelen W., Yuchtman M., Van Veen B.D., Van Huffelen A.C. A spatial filtering technique to detect and localize multiple sources in the brain. Brain Topogr. 1996, 9:39-49.
40. Van Veen B.D., Van Drongelen W., Yuchtman M., Suzuki A. Localisation of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans. Biomed. Eng. 1997, 44:867-880.
41. Wipf D.P., Owen J.P., Attias H.T., Sekihara K., Nagarajan S.S. Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG. NeuroImage 2010, 49:641-655.
42. Zumer J.M., Attias H.T., Sekihara K., Nagarajana S.S. A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data. NeuroImage 2007, 37:102-115.