Prediction of performance level during a cognitive task from ongoing EEG oscillatory activities

Clinical Neurophysiology

Volumn 119, Issue 4, 2008, Pages 897-908

  Besserve, Michel ^a,b   Philippe, Matthieu ^c   Florence, Geneviève ^a,c   Laurent, François ^a,b   Garnero, Line ^a,b   Martinerie, Jacques ^a,b  

^a Centre National de la Recherche Scientifique   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c Institut de Medecine Aerospatiale   (France)

Author keywords

Classification; Phase locking value; Phase synchrony; Support vector machine

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; ATTENTION; COGNITION; ELECTROENCEPHALOGRAM; OSCILLATORY POTENTIAL; PREDICTION; PRIORITY JOURNAL; REACTION TIME; SUPPORT VECTOR MACHINE; TASK PERFORMANCE;

ALGORITHMS; BRAIN; BRAIN MAPPING; COGNITION; ELECTROENCEPHALOGRAPHY; HUMANS; TASK PERFORMANCE AND ANALYSIS;

EID: 40649121665     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2007.12.003     Document Type: Article

References (51)

1. Alba A., Marroquin J.L., Pena J., Harmony T., and Gonzalez-Frankenberger B. Exploration of event-induced EEG phase synchronization patterns in cognitive tasks using a time-frequency-topography visualization system. J Neurosci Meth 161 (2007) 166-182
2. Altman A., and Gondzio J. Regularized symmetric indefinite systems in interior point methods for linear and quadratic optimization. Optim Methods Softw 11 (1999) 275-302
3. Boksem M.A., Meijman T.F., and Lorist M.M. Effects of mental fatigue on attention: an ERP study. Brain Res Cogn Brain Res 25 1 (2005) 107-116
4. Burges C.J.C. A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 2 2 (1998) 121-167 [ISSN 1384-5810]
5. Cristianini N., and Shawe-Taylor J. An introduction to support vector machines (2000), Cambridge University Press
6. Fan J., Flombaum J., McCandliss B.D., Thomas K.M., and Posner M.I. Cognitive and brain consequences of conflict. Neuroimage 18 (2002) 42-57
7. Garrett D., Peterson D.A., Anderson C.W., and Thaut M.H. Comparison of linear, non-linear, and feature selection methods for EEG signal classification. IEEE Trans Neural Syst Rehabil Eng 11 (2003) 141-144
8. Grandjean E. Fitting the task to the man (1988), Taylor and Francis
9. Gray C., and Singer W. Stimulus specific neuronal oscillations in orientation columns of cat visual cortex. Proc Natl Acad Sci USA 86 5 (1989) 1698-1702
10. Gross J., Schmitz F., Schnitzler I., Kessler K., Shapiro K., Hommel B., et al. Modulation of long-range neural synchrony reflects temporal limitations of visual attention in humans. Proc Natl Acad Sci USA 101 (2004) 13050-13055
11. Gysels E., and Celka P. Phase synchronisation for the recognition of mental tasks in a brain-computer interface. IEEE Trans Neural Syst Rehabil Eng 12 4 (2004) 206-415
12. Gysels E., Renevey P., and Celka P. SVM-based recursive feature elimination to compare phase synchronization computed from broadband and narrowband EEG signals in brain-computer interfaces. Signal Process 85 11 (2005) 2178-2189
13. Hastie T., Tibshirani R., and Friedman J. The elements of statistical learning (2001), Springer
14. Hohnsbein J., Falkenstein M., and Hoormann J. Effects of attention and time-pressure on P300 subcomponents and implications for mental workload research. Biol Psychol 40 1-2 (1995) 73-81
15. Jung T.P., Makeig S., Stensmo M., and Sejnowski T.J. Estimating alertness from the EEG power spectrum. IEEE Trans Biomed Eng 44 1 (1997) 60-69
16. Kiymik M.K., Akin M., and Subasi A. Automatic recognition of alertness level by using wavelet transform and artificial neural network. J Neurosci Meth 139 2 (2004) 231-240
17. Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Brain Res Rev 29 2-3 (1999) 169-195
18. Klimesch W, Doppelmayr M, Hanslmayr S. Upper alpha ERD and absolute power: their meaning for memory performance. In: Event-related dynamics of brain oscillations, Elsevier; 2006. p 151-163 [chapter 10].
19. Krepki R., Curio G., Blankertz B., and Muller K. Berlin brain-computer interface. the HCI communication channel discovery. Int J Hum Comp Studies 65 (2006) 460-477
20. Lachaux J., Rodriguez E., Martinerie J., and Varela F. Measuring phase synchrony in brain signals. Hum Brain Mapp 8 (1999) 194-208
21. Le Van Quyen M., Soss J., Navarro V., Robertson R., Chavez M., Baulac M., et al. Preictal state identification by synchronization changes in long-term intracranial EEG recordings. Clin Neurophysiol 116 (2005) 559-568
22. LeBlanc M., and Tibshirani R. Combining estimates in regression and classification. J Am Stat Assoc 91 436 (1996) 1641-1650
23. Lin C.T., Wu R.C., Jung T.P., Liang S.F., and Huang T.Y. Estimating driving performance based on EEG spectrum analysis. EURASIP J Appl Sig P 19 (2005) 3165-3174
24. Liu X., Banish M.T., Jacobson B.L., and Tanabe J.L. Common and distinct neural substrates of attentional control in integrated Simon and spatial Stroop task as assesed by event related fMRI. Neuroimage 22 (2004) 1097-1106
25. Lopes da Silva F. Neural mechanisms underlying brain waves: from neural membranes to networks. Electroencephalogr Clin Neurophysiol 79 2 (1991) 81-93
26. Makeig S., Jung T.P., and Sejnowski T.J. Using feedforward neural networks to monitor alertness from changes in EEG correlation and coherence. Adv Neur Info Proc Sys 8 (1996) 931-937
27. McFarland D., McCane L., Davi S., and Wolpaw J. Spatial filter selection for EEG-based communication. Electroencephalogr Clin Neurophysiol 103 (1997) 386-394
28. Muller-Gerking J., Pfurtscheller G., and Flyvbjerg H. Designing optimal filters for single-trial EEG classification in a movement task. Clin Neurophysiol 110 (1999) 787-798
29. Muller K., Mika S., Ratsch G., Tsuda K., and Scholkopf B. An introduction to kernel-based learning algorithms. IEEE Tran Neur Netw 12 (2001) 181-202
30. Orfanidis S.J. Introduction to signal processing (1996), Prentice-Hall
31. Peterson B.S., Kane M.J., Alexander G.M., Lacadie C., Skudlarski P., Hoi-Chung L., et al. An event-related functional MRI study comparing interferences effects in the Simon and Stroop tasks. Cog Brain Res 13 (2002) 427-440
32. Pfurtscheller G., Neuper C., Flotzinger D., and Prezenger M. EEG-based discrimination between imagination of right and left hand movement. Electroencephalogr Clin Neurophysiol 103 (1997) 642-651
33. Pikovski A., Rosenblum M., and Kurths J. Synchronization: a universal concept in nonlinear science (2001), Cambridge University Press
34. Ragot R., and Renault B. P300 as a function of SR compatibility and motor programming. Biol Psychol 13 (1981) 289-294
35. Rodriguez E., George N., Lachaux J., Martinerie J., and Renault B. Perception shadow: long distance gamma band synchronisation and desynchronisation on the human scalp. Nature 397 (1999) 430-433
36. Shannon C.E., and Weaver W. Mathematical theory of communication (1964), University Illinois Press, Champaign, IL
37. Smit A.S., Eling P.A., and Coenen A.M. Mental effort affects vigilance enduringly: after-effects in EEG and behavior. Int J Psychophysiol 53 3 (2004) 239-243
38. Smith M.E., Gevins A., Brown H., Karnik A., and Du R. Monitoring task loading with multivariate EEG measures during complex forms of human-computer interaction. Hum Factors 43 3 (2001) 366-380
39. Tallon-Baudry C., Kreiter A., and Bertrand O. Sustained and transient oscillatory responses in the gamma and beta bands in a visual short-term memory task in humans. Vis Neurosci 16 3 (1999) 449-459
40. Tatum W.O., Husain A.M., Benbadis S.R., and Kaplan P.W. Normal adult EEG and patterns of uncertain significance. J Clin Neurophysiol 23 3 (2006) 194-207
41. Trejo LJ. EEG-based estimation of cognitive fatigue. In: Proceedings of SPIE: Bio-monitoring for physiological and cognitive performance during military operations, vol. 5797. 2005.
42. Vapnik V. Statistical learning theory (1998), Wiley-Interscience, New York
43. Varela F. Resonnant cell assemblies: a new approach to cognitive function and neuronal synchrony. Biol Res 28 (1995) 81-95
44. Varela F., Lachaux J., Rodriguez E., and Martinerie J. The Brainweb: phase synchronisation and large-scale integration. Nature Rev Neurosci 2 (2001) 229-239
45. Wallstrom G.L., Kass R.E., Miller A., Cohn J.F., and Fox N.A. Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods. Int J Psychophysiol 53 2 (2004) 105-119
46. Weston J., Elisseeff A., BakIr G., and Sinz F. The spider (2003)
47. Whittington M.A., Traub R.D., Kopell N., Ermentrout B., and Buhl E.H. Inhibition-based rhythms: experimental and mathematical observations on network dynamics. Int J Psychophysiol 38 3 (2000) 315-336
48. Wilson G., and Fisher F. Cognitive task classification based on topographic EEG data. IEEE Trans Biomed Eng 45 3 (1998) 277-286
49. Wilson G., and Russell C. Real-time assessment of mental workload using psychophysiological measures and artificial neural networks. Hum Factors 45 4 (2003) 635-643
50. Wolpaw J., Birbaumer N., McFarland D., Pfurtscheller G., and Vaughan T. Brain-computer interfaces for communication and control. Clin Neurophysiol 113 (2002) 767-791
51. Wolpert D.H. Stacked generalization. Neural Netw 5 2 (1992) 241-259