Abstract:Stroop effect can reflect the brain attention of the conflict and the interference. In order to analyze the brain cognitive activity of Stroop effect deeply, the Stroop experiment paradigm marked with steady state visual evoked potential (SSVEP) background was designed innovatively, which can get EEG data including both the event related potential (ERP) signals and the SSVEP signals.To realize this, the envelope analysis method based on Hermite filters was proposed.EEG data of ten subjects were recorded, and then the ERP signals and SSVEP signals were gotten respectively. In the time window of 400~600 ms after stimulus, the ERP signal of incongruent condition was more negative than that of congruent condition. The difference between two conditions was significant statistically and mainly distributed in the prefrontal regions, which was the EEG reflection of the Stroop effect. Through the envelope analysis, it was found that the envelope of SSVEP signal declined remarkably after the stimulus. The poststimulus changes of the Alpha frequency band total envelope of the ERP signal were related with its prestimulus level.If its level before stimulus was high, it declined to the lower level after a small increase; if its level before stimulus was low, it remained to the same level after an increase. We got the further cognitive activity study of Stroop effect through the Stroop experiment paradigm marked with SSVEP background and the envelope analysis method, which also provides a reference for other cognitive experiments.
[1]Hanslmayr S, Pasttter B, Buml KH, et al. The electrophysiological dynamics of interference during the Stroop task [J]. Journal of Cognitive Neuroscience, 2008, 20(2): 215-225.
[2]Qiu Jiang, Luo Yuejia,Wang Quanhong, et al. Brain mechanism of Stroop interference effect in Chinese characters[J]. Brain Research, 2006, 1072(1): 186-193.
[3]Allison BZ, Wolpaw EW, Wolpaw JR. Braincomputer interface systems: progress and prospects [J]. Expert Review Of Medical Devices, 2007, 4(4): 463-474.
[4]Vialatte FB, Maurice M, Dauwels J, et al. Steadystate visually evoked potentials: focus on essential paradigms and future perspectives[J]. Progress in Neurobiology, 2010, 90(4): 418-438.
[5]Müller MM, Andersen SK, Attar CH. Attentional bias to briefly presented emotional distractors follows a slow time course in visual cortex[J]. The Journal of Neuroscience, 2011, 31(44): 15914-15918.
[6]Sharabaty H, Jammes B, Esteve D. EEG analysis using HHT: One step toward automatic drowsiness scoring[C]//The 22nd International Conference on Advanced Information Networking and ApplicationsWorkshops. New Jersey:IEEE, 2008: 826-831.
[7]Martens JB. The Hermite transformtheory[J]. IEEE Transactions on Acoustics, Speech and Signal Processing,1990, 38(9): 1595-1606.
[8]Liotti M, Woldorff MG, Perez III R, et al. An ERP study of the temporal course of the Stroop colorword interference effect t[J]. Neuropsychologia, 2000, 38(5): 701-711.
[9]Zysset S, Müller K, Lohmann G, et al. Colorword matching Stroop task: separating interference and response conflict[J]. Neuroimage, 2001, 13(1): 29-36.
[10]Min BK, Busch NA, Debener S, et al. The best of both worlds: Phasereset of human EEG Alpha activity and additive power contribute to ERP generation[J]. International Journal of Psychophysiology, 2007, 65(1): 58-68.
[11]Brown TL, Gore CL, Carr TH. Visual attention and word recognition in Stroop color naming: Is word recognition" automatic?" [J]. Journal of Experimental Psychology: General, 2002, 131(2): 220.
[12]Martens U, Hübner R. Functional hemispheric asymmetries of global/local processing mirrored by the steadystate visual evoked potential[J]. Brain and Cognition, 2013, 81(2): 161-166.
[13]Adrian ED, Matthews BHC. The Berger rhythm: potential changes from the occipital lobes in man[J]. Brain, 1934, 57(4): 355-385.
[14]Van Dijk H, Schoffelen JM, Oostenveld R, et al. Prestimulus oscillatory activity in the Alpha band predicts visual discrimination ability[J]. The Journal of Neuroscience, 2008, 28(8): 1816-1823.
[15]Doppelmayr M, Klimesch W, Pachinger T, et al. Individual differences in brain dynamics: important implications for the calculation of eventrelated band power[J]. Biological Cybernetics, 1998, 79(1): 49-57.