Functional connectivity analysis of steady-state visual evoked potentials

Neuroscience Letters

Volumn 499, Issue 3, 2011, Pages 199-203

  Yan, Zheng ^a   Gao, Xiaorong ^a  

^a Tsinghua University   (China)

Author keywords

Directed transfer function; Flow gain; Functional connectivity; SSVEP

Indexed keywords

ADULT; ARTICLE; BRAIN FUNCTION; BRAIN MAPPING; BRAIN REGION; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; EVOKED VISUAL RESPONSE; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; NERVE CONDUCTION; NORMAL HUMAN; OCCIPITAL CORTEX; PARIETAL CORTEX; PRIORITY JOURNAL; STEADY STATE VISUAL EVOKED POTENTIAL;

ADULT; BRAIN MAPPING; CEREBRAL CORTEX; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; MALE; NEURAL PATHWAYS; PHOTIC STIMULATION; VISUAL PERCEPTION;

EID: 79960101364     PISSN: 03043940     EISSN: 18727972     Source Type: Journal    
DOI: 10.1016/j.neulet.2011.05.061     Document Type: Article

References (26)

1. Akaike H. A new look at the statistical identification model. IEEE transactions on Automatic Control 1974, 19:716-723.
2. Astolfi L., Cincotti F., Mattia D., Babiloni C., Carducci F., Basilisco A., Rossini P., Salinari S., Ding L., Ni Y. Assessing cortical functional connectivity by linear inverse estimation and directed transfer function: simulations and application to real data. Clinical Neurophysiology 2005, 116:920-932.
3. Astolfi L., Cincotti F., Mattia D., Salinari S., Babiloni C., Basilisco A., Rossini P., Ding L., Ni Y., He B. Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG. Magnetic Resonance Imaging 2004, 22:1457-1470.
4. Babiloni F. From the analysis of the brain images to the study of brain networks using functional connectivity and multimodal brain signals. Brain Topography 2010, 23:115-118.
5. Babiloni F., Cincotti F., Babiloni C., Carducci F., Mattia D., Astolfi L., Basilisco A., Rossini P. Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function. Neuroimage 2005, 24:118-131.
6. Baccala L.A., Sameshima K. Partial directed coherence: a new concept in neural structure determination. Biological Cybernetics 2001, 84:463-474.
7. Brovelli A., Ding M., Ledberg A., Chen Y., Nakamura R., Bressler S. Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality. Proceedings of the National Academy of Sciences of the United States of America 2004, 101:9849-9854.
8. Buchel C., Friston K. Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modeling and fMRI. Cerebral Cortex 1997, 7:768-778.
9. Burkitt G., Silberstein R., Cadusch P., Wood A. Steady-state visual evoked potentials and travelling waves. Clinical Neurophysiology 2000, 111:246-258.
10. Delorme A., Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods 2004, 134:9-21.
11. Duhamel J.R., Colby C.L., Goldberg M.E. The updating of the representation of visual space in parietal cortex by intended eye movements. Science 1992, 255:90-92.
12. Franaszczuk P., Blinowska K., Kowalczyk M. The application of parametric multichannel spectral estimates in the study of electrical brain activity. Biological Cybernetics 1985, 51:239-247.
13. Granger C. Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society 1969, 37:424-438.
14. He B., Dai Y., Astolfi L., Babiloni F., Yuan H., Yang L. eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity. Journal of Neuroscience Methods 2010, 261-269.
15. Horwitz B. The elusive concept of brain connectivity. Neuroimage 2003, 19:466-470.
16. Kaminski M., Blinowska K. A new method of the description of the information flow in the brain structures. Biological Cybernetics 1991, 65:203-210.
17. Kaminski M., Ding M., Truccolo W., Bressler S. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biological Cybernetics 2001, 85:145-157.
18. Lee L, Harrison L., Mechelli A. The functional brain connectivity workshop: report and commentary. Network: Computation in Neural Systems 2003, 14:1-15.
19. Regan D. Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine 1989, vol. 75. Elsevier, New York.
20. Srinivasan R., Bibi F., Nunez P. Steady-state visual evoked potentials: distributed local sources and wave-like dynamics are sensitive to flicker frequency. Brain Topography 2006, 18:167-187.
21. Srinivasan R., Fornari E., Knyazeva M., Meuli R., Maeder P. fMRI responses in medial frontal cortex that depend on the temporal frequency of visual input. Experimental Brain Research 2007, 180:677-691.
22. Theiler J., Eubank S., Longtin A., Galdrikian B., Doyne Farmer J. Testing for nonlinearity in time series: the method of surrogate data. Physica D: Nonlinear Phenomena 1992, 58:77-94.
23. Thorpe S., Nunez P., Srinivasan R. Identification of wave-like spatial structure in the SSVEP: comparison of simultaneous EEG and MEG. Statistics in Medicine 2007, 26:3911-3926.
24. Todd J.J., Marois R. Capacity limit of visual short-term memory in human posterior parietal cortex. Nature 2004, 428:751-754.
25. Vialatte F., Maurice M., Dauwels J., Cichocki A. Steady-state visually evoked potentials: focus on essential paradigms and future perspectives. Progress in Neurobiology 2010, 90:418-438.
26. Wilke C., Van Drongelen W., Kohrman M., He B. Neocortical seizure foci localization by means of a directed transfer function method. Epilepsia 2010, 51:564-572.