Estimating Granger causality after stimulus onset: A cautionary note

NeuroImage

Volumn 41, Issue 3, 2008, Pages 767-776

  Wang, Xue ^a   Chen, Yonghong ^a   Ding, Mingzhou ^a  

^a University of Florida   (United States)

Author keywords

ASEO; Event related potentials; Granger causality; Single trial analysis

Indexed keywords

AMPLITUDE MODULATION; ARTICLE; AVERAGE EVENT RELATED POTENTIAL; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; EVOKED RESPONSE; GOAL ATTAINMENT; GRANGER CAUSALITY; LATENT PERIOD; LOCAL FIELD POTENTIAL; MATHEMATICAL COMPUTING; MULTIVARIATE ANALYSIS; NONHUMAN; PRIORITY JOURNAL; SENSORY ANALYSIS; STATISTICAL ANALYSIS; STIMULUS RESPONSE;

ALGORITHMS; ANIMALS; BRAIN; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; MACACA; MODELS, NEUROLOGICAL;

EID: 44449155174     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2008.03.025     Document Type: Article

References (33)

1. Akaike H. A new look at statistical model identification. IEEE Trans. Automat. Contr. 19 (1974) 716-723
2. Bressler S.L., Coppola R., and Nakamura R. Episodic multiregional cortical coherence at multiple frequencies during visual task-performance. Nature 366 (1993) 153-156
3. Brovelli A., Ding M.Z., Ledberg A., Chen Y.H., Nakamura R., and Bressler S.L. Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by granger causality. Proc. Natl. Acad. Sci. U. S. A. 101 (2004) 9849-9854
4. de Munck J.C., Bijma F., Gaura P., Sieluzycki C.A., Branco M.I., and Heethaar R.M. A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data sets. IEEE Trans. Biomed. Eng. 51 (2004) 2123-2128
5. Demiralp T., Ademoglu A., Schurmann M., Basar-Eroglu C., and Basar E. Detection of p300 waves in single trials by the wavelet transform (WT). Brain Lang. 66 (1999) 108-128
6. Chen Y.H., Bressler S.L., Knuth K.H., Truccolo W.A., and Ding M.Z. Stochastic modeling of neurobiological time series: power, coherence, Granger causality, and separation of evoked responses from ongoing activity. Chaos 16 (2006) 026113
7. Ding M.Z., Bressler S.L., Yang W., and Liang H.L. Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment. Biol. Cybern. 83 (2000) 35-45
8. Ding M.Z., Chen Y.H., and Bressler S.L. Granger causality: basic theory and applications to neuroscience. In: Schelter B., Winterhalder M., and Timmer J. (Eds). Handbook of Time Series Analysis: Recent Theoretical Developments and Applications (2006), Wiley-VCH, Berlin 437-459
9. Fabre-Thorpe M., Delorme A., Marlot C., and Thorpe S. A limit to the speed of processing in ultra-rapid visual categorization of novel natural scenes. J. Cogn. Neurosci. 13 (2001) 171-180
10. Felleman D.J., and Van Essen D.C. Distributed hierarchical processing in the cerebral cortex. Cerebral Cortex 1 (1991) 1-47
11. Granger C.W.J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37 (1969) 424-438
12. Grossberg S. How does the cerebral cortex work? Learning, attention, and grouping by the laminar circuits of visual cortex. Spat. Vis. 12 (1999) 163-185
13. Herrmann C.S., and Knight R.T. Mechanisms of human attention: event-related potentials and oscillations. Neurosci. Biobehav. Rev. 25 (2001) 465-476
14. Hesse W., Moller E., Arnold M., and Schack B. The use of time-variant EEG granger causality for inspecting directed interdependencies of neural assemblies. J. Neurosci. Methods 124 (2003) 27-44
15. Jaskowski P., and Verleger R. Amplitudes and latencies of single-trial ERP's estimated by a maximum-likelihood method. IEEE Trans. Biomed. Eng. 46 (1999) 987-993
16. Kalcher J., and Pfurtscheller G. Discrimination between phase-locked and non-phase-locked event-related EEG activity. Electroencephalogr. Clin. Neurophysiol. 94 (1995) 381-384
17. Knuth K.H., Shah A.S., Truccolo W.A., Ding M.Z., Bressler S.L., and Schroeder C.E. Differentially variable component analysis (dVCA): Identifying multiple evoked components using trial-to-trial variability. J. Neurophysiol. 95 (2006) 3257-3276
18. Ledberg A., Bressler S.L., Ding M., Coppola R., and Nakamura R. Large-scale visuomotor integration in the cerebral cortex. Cerebral Cortex 17 (2007) 44-62
19. Liang H.L., Ding M.Z., Nakamura R., and Bressler S.L. Causal influences in primate cerebral cortex during visual pattern discrimination. Neuroreport 11 (2000) 2875-2880
20. Liang H.L., Bressler S.L., Ding M.Z., Truccolo W.A., and Nakamura R. Synchronized activity in prefrontal cortex during anticipation of visuomotor processing. Neuroreport 13 (2002) 2011-2015
21. Lungarella M., and Sporns O. Mapping information flow in sensorimotor networks. PLOS Comput. Biol. 2 (2006) 1301-1312
22. Melkonian D., Gordon E., and Bahramali H. Single-event-related potential analysis by means of fragmentary decomposition. Biol. Cybern. 85 (2001) 219-229
23. Morrell L.K., and Morrell F. Evoked potentials and reaction times - a study of intra-individual variability. Electroencephalogr. Clin. Neurophysiol. 20 (1966) 567-575
24. Roebroeck A., Formisano E., and Goebel R. Mapping directed influence over the brain using Granger causality and fMRI. NeuroImage 25 (2005) 230-242
25. Seth A.K. Causal connectivity of evolved neural networks during behavior. Netw-Comput. Neural Syst. 16 1 (2005) 35-54
26. Singer W. Synchronization of cortical activity and its putative role in information-processing and learning. Ann. Rev. Physiol. 55 (1993) 349-374
27. Thorpe S.J., and Fabre-Thorpe M. Seeking categories in the brain. Science 291 (2001) 260-263
28. Truccolo W.A., Ding M.Z., Knuth K.H., Nakamura R., and Bressler S.L. Trial-to-trial variability of cortical evoked responses: implications for the analysis of functional connectivity. Clin. Neurophysiol. 113 (2002) 206-226
29. Truccolo W., Knuth K.H., Shah A., Bressler S.L., Schroeder C.E., and Ding M.Z. Estimation of single-trial multicomponent ERPs: differentially variable component analysis (dVCA). Biol. Cybern. 89 (2003) 426-438
30. Ullman S. Sequence seeking and counter streams - a computational model for bidirectional information-flow in the visual-cortex. Cerebral Cortex 5 (1995) 1-11
31. Wiener N. The theory of prediction. In: Beckenbach E.F. (Ed). Modern Mathermatics for Engineers (1956), McGraw-Hill, New York Chap 8
32. Woody C.D. Characterization of an adaptive filter for analysis of variable latency neuroelectric signals. Med. Biol. Eng. 5 (1967) 539-553
33. Xu, L.Z., Stoica, P., Li, J., Bressler, S.L., Shao, X.Z., Ding, M.Z., in press. ASEO: a method for the simultaneous estimation of single-trial event-related potentials and ongoing brain activities. IEEE Transactions on Biomedical Engineering.