connectivity in erp analyses courses... · 2017-06-19 · global connectivity (gfs) global field...
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Disclosure: no potential conflicts of interest. Funding EU, SNF, DFG, University grants.
OHBM 2017 EEG and MEG Connectivity Course
Connectivity in ERP analyses
Daniel Brandeis
1) Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/
Heidelberg University, Mannheim, Germany2) Department of Child and Adolescent Psychiatry and Psychotherapy,
Pychiatric Hospital, University of Zurich, 3) Center for Integrative Human Physiology, 4)Neuroscience Center Zurich, University of Zurich and ETH
Zurich, Switzerland
23th Human Brain Mapping Meeting, June 2017, Vancouver, Canada
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Connectivity
•Stability - dynamics
– ERPs: dynamic, event-related, baseline connectivity
– Structural and methods constraints
•Synchronization - lagged correlation
– Complementary aspects of connectivity
•Applications
– Zero lag connectivity relevant for BCI
•Neurophysiology
– Mechanism, lag and acceleration
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[Hbdeoxy
] [Hboxy]
O2
fMRI Activation …
Hemodynamics, O2
EEG - fMRI (t)
0 5 10 15 20s
0 .5 1.0 1.5 2.0s
EEG/MEG Activation
Synchronization
Fields- BOLD
Synchronization- Hemodynamics
Mass Polarization - … (DTI)
Estimate - Localise
Direct - Indirect
Fast and Slow - Slow
Connectivity no lag in fMRI
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EEG connectivity - correlation ?
Two or more dipoles –no lag AND lagged correlation
+50 µV
-50 µV
+50 µV
-50 µV
Haufe NIMG 2008
Single dipole or synchronized dipoles – no lag (0, 180deg) correlation
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EEG connectivity – methods
Synchronization, common input, zero lag correlation just “problem” ?
Bastos & Schoffelen 2016
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EEG Connectivity
Roelfsema Science 1997
Genuine instant (zero lag) as well as lagged connectivity
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EEG and MEG Connectivity
Winter 2007, Michels et al 2013
EEGVolume conduction
MEGField spread
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Time domain
ERPs etc
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ms (Milliseconds)
+50 µV
-50 µV
5001000
Event-related potentials (ERP) –phase locked averaging of EEG
(Microvolt,
1/1’000’000
Volt)
1. Event
2. Event
... Event
30. Event
Average
---- ERP: time course of information processing
ERP - prestimulus mean, variability, connectivity
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ERP Microstates stable, peaking or oscillating topographies
Averaged ERP microstates - synchronizationKoenig & Gianotti, in Michel 2011, Maurer et al JCN 2011
StrengthGlobal Field Power
Distribution
TopographyCentroids, Sources
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ERP Microstates –Clustering and Crossvalidation
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1995). Segmentation of brain electrical activity into microstates:
model estimation and validation. IEEE Transactions on Biomedical Engineering, 42(7), 658-665.
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ERP Microstates stable, peaking or oscillating topographies
Averaged ERP microstates –network synchronization, maturation, propagation
Maurer et al et al JCN 2005
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ERP Microstates stable, peaking or oscillating topographies
Averaged ERP microstates –network synchronizationation, maturation, propagation
Brem et al NIMG 2006
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ERP – lag interaction
Steger et al Psychophysiology 2001
Experimental approaches disentangle synchronization and interaction
Bilateral P1 preceeds sum – physiological interaction, not volume conduction
Left
Right
Bilateral
…Sum
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Frequency domain
ERD/ERS, DICS, PLI…
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Connectivity – Synchronization
Wackerman & Allefeld 2009. Michel et al 2009
Development – synchronization and strength decrease
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Zero-phase coupling matters - BCI
Zero phase coupling predictive – eliminated by spatial filter (CSD)
Jian et al 2017
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EEG
Hipp et al Neuron 2011
ERS – beta synchronization with perception
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Global field synchronization (GFS)
Global Field Synchronization - reference free)
Michels et al 2012
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Global connectivity (GFS)
Global Field synchronization -complements global field strength
Michels et al 2012
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Global connectivity (GFS – EEG-fMRI)
Global Field synchronization – EEG-fMRI
Michels et al 2012
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Lagged source connectivity
Lagged source coherence increases during development
Yvert et al J. Neurosci 2012
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Directed ERP Connectivity
Single trial directed ERP connectivity - early recurrence
Plomp et al SciRep 2015
N=16, for beta peaking at C1 (spectrally weighted Partial Directed Coherence)
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Conclusion
•(ERP) Connectivity includes synchronizationconsider zero lag correlation and microstates
•Connectivity – experimental cluessynchronization beyond field spread - can speed processingexperimental approaches
•Baseline connectivity – considerconsider baseline connectivity, active state subtraction, interpretation of change
•Use proper methods including experimentsbased on design, hypotheses, inspection
Probe connectivity– synchronization and lag
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Thank you !
Maurer, U., Brem, S., Bucher, K., & Brandeis, D. (2005). Emerging neurophysiological specialization for letter strings. Journal of Cognitive Neuroscience,
17(10), 1532-1552.
Jian, W., Chen, M., & McFarland, D. J. (2017). Use of phase-locking value in sensorimotor rhythm-based brain–computer interface: zero-phase coupling
and effects of spatial filters. Medical & Biological Engineering & Computing, in press, 1-12.
Wackermann, J., & Allefeld, C. (2009). State space representation and global descriptors of brain electrical activity. In C. M. Michel, T. Koenig, D. Brandeis,
L. R. R. Gianotti & J. Wackermann (Eds.), Electrical Neuroimaging (pp. 191-214). Cambridge: Cambridge University Press.
Koenig, T., & Gianotti, L. R. R. (2009). Scalp field maps and their characterization. In C. M. Michel, T. Koenig, D. Brandeis, L. R. R. Gianotti & J.
Wackermann (Eds.), Electrical Neuroimaging (pp. 25-47). Cambridge: Cambridge University Press.
Steger, J., Imhof, K., Denoth, J., Pascual-Marqui, R. D., Steinhausen, H.-C., & Brandeis, D. (2001). Brain mapping of bilateral visual interactions in children.
Psychophysiology, 38, 243-253.
Brem, S., Bucher, K., Halder, P., Summers, P., Dietrich, T., Martin, E., & Brandeis, D. (2006). Evidence for developmental changes in the visual word
processing network beyond adolescence. Neuroimage, 29(3), 822-837.
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1995). Segmentation of brain electrical activity into microstates: model estimation and validation.
IEEE Transactions on Biomedical Engineering, 42(7), 658-665.
Winter, W. R., Nunez, P. L., Ding, J., & Srinivasan, R. (2007). Comparison of the effect of volume conduction on EEG coherence with the effect of field
spread on MEG coherence. Statistics in Medicine, 26(21), 3946-3957.
Michels, L., Lüchinger, R., Koenig, T., Martin, E., & Brandeis, D. (2012). Developmental changes of BOLD signal correlations with global human EEG power
and synchronization during working memory. PLoS ONE, 7(7), e39447.
Plomp, G., Hervais-Adelman, A., Astolfi, L., & Michel, C. M. (2015). Early recurrence and ongoing parietal driving during elementary visual processing.
Scientific Reports, 5, 18733. Roelfsema, P. R., Engel, A. K., Konig, P., & Singer, W. (1997). Visuomotor integration is associated with zero time-lag
synchronization among cortical areas. Nature, 385(6612), 157-161.
Haufe, S., Nikulin, V. V., Ziehe, A., Müller, K.-R., & Nolte, G. (2008). Combining sparsity and rotational invariance in EEG/MEG source reconstruction.
NeuroImage, 42(2), 726-738.
Bastos, A. M., & Schoffelen, J. M. (2015). A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls. Frontiers in
System Neuroscience, 9, 175.
Hipp, J. F., Engel, A. K., & Siegel, M. (2011). Oscillatory Synchronization in Large-Scale Cortical Networks Predicts Perception. Neuron, 69(2), 387-396.
Yvert, G., Perrone-Bertolotti, M., Baciu, M., & David, O. (2012). Dynamic causal modeling of spatiotemporal integration of phonological and semantic
processes: an electroencephalographic study. J Neurosci, 32(12), 4297-4306.