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EEG inter/intra-hemispheric coherence and asymmetric responses to visual stimulations

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Abstract

This study has attempted to increase the meaning and significance of findings in the experimental areas of electroencephalographic (EEG) visual or photic driving. The aim of this study was to investigate whether the visual stimulation at particular extremely low frequency order could possibly induce changes in the corresponding EEG frequency bands by examining the functional connectedness between brain regions. This was evaluated by applying the improved experimental protocol and objective using non-parametric spectral estimation coherence algorithm. The findings from our study revealed a significantly higher coherence in the EEG beta2 band (16.6 Hz) corresponding to 16.66 Hz visual stimulation, suggesting a high inter-hemispheric functional connectivity during visual stimulus. A significant increase was revealed during 50 Hz visual stimulation at gamma band and a decrease during 4 Hz visual stimulation at theta band, linked with a substantial transitional shift in predominance from anterior to posterior relative power. This study may also increase the awareness of EEG visual driving response studies in clinical practice to uncover potential neurophysiologic abnormalities.

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References

  1. Achermann P, Borbely AA (1998) Coherence analysis of the human sleep electroencephalogram. Neuroscience 85(4):1195–1208. doi:10.1016/S0306-4522(97)00692-1

    Article  Google Scholar 

  2. Adrian ED, Matthews BHC (1934) The Berger rhythm: potential changes from the occipital lobes in man. Brain 57:355–384. doi:10.1093/brain/57.4.355

    Article  Google Scholar 

  3. Aftanas LI, Golocheikine SA (2001) Human anterior and frontal midline theta and lower alpha reflect emotional positive state and internalized attention: high-resolution EEG investigation of meditation. Neurosci Lett 310:57–60. doi:10.1016/S0304-3940(01)02094-8

    Article  Google Scholar 

  4. American Clinical Neurophysiology Society (2006) Guideline 9B: guidelines on visual evoked potentials, pp 1–19

  5. Basar E, Schurmann M (1994) Functional aspects of evoked alpha and theta responses in human and cats. Biol Cybern 72:175–183. doi:10.1007/BF00205981

    Article  Google Scholar 

  6. Benesty J, Chen J, Huang Y (2005) A generalized MVDR spectrum. IEEE Signal Process Lett 12(12):827–830. doi:10.1109/LSP.2005.859517

    Article  Google Scholar 

  7. Blum AS, Rutkove SB (2007) The clinical neurophysiology primer. Humana Press, New Jersey

    Book  Google Scholar 

  8. Brauchli P, Michel CM, Zeier H (1995) Electrocortical, autonomic, and subjective responses to rhythmic audio-visual stimulation. Int J Psychophysiol 19:53–66. doi:10.1016/0167-8760(94)00074-O

    Article  Google Scholar 

  9. Cantero JL, Atienza M, Salas RM, Gomez CM (1999) Alpha EEG coherence in different brain states: an electrophysiological index of the arousal level in human subjects. Neurosci Lett 271:167–170. doi:10.1016/S0304-3940(99)00565-0

    Article  Google Scholar 

  10. Capon J (1969) High resolution frequency-wavenumber spectrum analysis. Proc IEEE 57(8):1408–1418. doi:10.1109/PROC.1969.7278

    Article  Google Scholar 

  11. Choi C (1978) Photic EEG-driving responses in thalamotorized and medicated cases of Parkinson’s disease. Eur Arch Psychiatry Clin Neurosci 225(2):97–105

    Google Scholar 

  12. Coul B, Pedley T (1978) Intermittent photic stimulation: clinical usefulness on non-convulsive responses. Electroencephalogr Clin Neurophysiol 44:343–363

    Google Scholar 

  13. Cvetkovic D (2005) Electromagnetic and audio-visual stimulation of the human brain at extremely low frequencies, Ph.D. Thesis. RMIT University, School of Electrical and Computer Engineering, Melbourne, Australia

  14. Cvetkovic D, Cosic I (2007) Inter and intra-hemispheric EEG coherence responses to visual stimulations. In: Proceedings of the 29th IEEE EMBs annual international conference, Lyon, France, pp 2839–2842

  15. Cvetkovic D, Simpson D, Cosic I (2006) Influence of sinusoidally modulated visual stimuli at extremely low frequency range on the human EEG activity. In: Proceedings of the 28th IEEE EMBS annual international conference, New York City, USA, pp 1311–1314

  16. Dawson B, Trapp RG (2001) Basic and clinical biostatistics, 3rd edn. Lange Medical Books/McGraw-Hill International Ltd., Singapore, p 399

  17. Erol B (1999) Brain function and oscillations. II. Integrative brain function. Neurophysiology and cognitive processes. Springer, Berlin, pp 129–142

    Google Scholar 

  18. French CC, Beaumont G (1984) A critical review of EEG coherence studies of hemispheric function. Int J Psychophysiol 1:241–254. doi:10.1016/0167-8760(84)90044-8

    Article  Google Scholar 

  19. Jin Y, Castellanos A Jr, Solis ER Jr, Potkin SG (2000) EEG Resonant responses in schizophrenia: a photic driving study with improved harmonic resolution. Schizophr Res 44:213–220. doi:10.1016/S0920-9964(99)00211-X

    Article  Google Scholar 

  20. Jin S-H, Jeong J, Jeong D-G, Kim D-J, Kim SY (2002) Nonlinear dynamics of the EEG separated by independent component analysis after sound and light stimulation. Biol Cybern 86:295–401. doi:10.1007/s00422-001-0304-z

    Article  Google Scholar 

  21. Kawaguchi T, Jijiwa H, Watanabe S (1993) The dynamics of phase relationships of alpha waves during photic driving. Electroencephalogr Clin Neurophysiol 87:88–96. doi:10.1016/0013-4694(93)90115-C

    Article  Google Scholar 

  22. Kikuchi M, Wada Y, Koshino Y, Nanbu Y, Hashimoto T (2000) Effect of normal aging upon inter-hemispheric EEG coherence: analysis during rest and photic stimulation. Clin Electroencephalogr 31(4):170–174

    Google Scholar 

  23. Kikuchi M, Wada Y, Takeda T, Oe H, Hashimoto T, Koshino Y (2002) EEG harmonic responses to photic stimulation in normal aging and Alzheimer’s disease: Differences in inter-hemispheric coherence. Clin Neurophysiol 113(7):1045–1051. doi:10.1016/S1388-2457(02)00129-3

    Article  Google Scholar 

  24. Krishnan G, Vohs J, Hetrick W, Carroll C, Shekhar A, Bockbrader M, O’Donnell B (2005) Steady state visual evoked potential abnormalities in schizophrenia. Clin Neurophysiol 116(3):614–624. doi:10.1016/j.clinph.2004.09.016

    Article  Google Scholar 

  25. Lane JD, Kasian SJ, Owens JE, Marsh GR (1998) Binaural auditory beats affect vigilance performance and mood. Physiol Behav 63(2):249–252. doi:10.1016/S0031-9384(97)00436-8

    Article  Google Scholar 

  26. Miranda de Sa MFL, Infantosi AFC (2005) Evaluating the entrainment of the alpha rhythm during stroboscopic flash stimulation by means of coherence analysis. Med Eng Phys 27:167–173. doi:10.1016/j.medengphy.2004.09.011

    Article  Google Scholar 

  27. Miranda de Sa AMFL, Infantosi AFC (2007) Evaluating the relationship of non-phase locked activities in the electroencephalogram during intermittent stimulation: a partial coherence-based approach. Med Biol Eng Comput 45:635–642. doi:10.1007/s11517-007-0191-0

    Article  Google Scholar 

  28. Newmark ME, Penry JK (1979) Photosensitivity and epilepsy: a review. Raven Press, New York

    Google Scholar 

  29. Pereda E, Quiroga RQ, Bhattacharya J (2005) Nonlinear multivariate analysis of neurophysiological signals. Prog Neurobiol 77:1–37. doi:10.1016/j.pneurobio.2005.10.003

    Article  Google Scholar 

  30. Rappelsberger P (2005) The reference problem and mapping of coherence: a simulation study. Brain Topogr 2(1–2):63–72. doi:10.1007/BF01128844

    Google Scholar 

  31. Rosenfeld JP, Reinhart AM, Srivastava S (1997) The effects of alpha (10-Hz) and beta (22-Hz) “entrainment” stimulation on the alpha and beta EEG bands: Individual differences are critical to prediction of effects. Appl Psychophysiol Biofeedback 22(1):3–22. doi:10.1023/A:1026233624772

    Article  Google Scholar 

  32. Scheuler W (1983) Clinical significance of increased reaction to photostimulation in the alpha frequency range. EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb 14:143–153 in German

    Google Scholar 

  33. Schurmann M, Basar E (2001) Functional aspects of alpha oscillations in the EEG. Int J Psychophysiol 39:151–158. doi:10.1016/S0167-8760(00)00138-0

    Article  Google Scholar 

  34. Shaw JC (1981) An introduction to the coherence function and its use in EEG signal analysis. J Med Eng Technol 5(6):279–288. doi:10.3109/03091908109009362

    Article  Google Scholar 

  35. Simpson DG (1998) Instrumentation for high spatial resolution steady state visual evoked potentials, Masters Thesis, Brain Sciences Institute and Biophysical Sciences and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia

  36. Stoica P, Moses RL (1997) Introduction to spectral analysis. Prentice-Hall, Upper Saddle River

    MATH  Google Scholar 

  37. Takasaka Y, Takamatsu K, Nakagawara M (1989) Anterior-posterior relationships of EEG in photosensitive subjects: coherence and cross-phase-spectral analysis. Jpn J Psychiatry Neurol 43(4):651–663. doi:10.1111/j.1440-1819.1989.tb03101.x

    Google Scholar 

  38. Tanaka H, Hayashi M, Hori AT (1999) Topographic mapping of EEG spectral power and coherence in delta activity during the transition from wakefulness to sleep. Psychiatry Clin Neurosci 53:155–157. doi:10.1046/j.1440-1819.1999.00509.x

    Article  Google Scholar 

  39. Teplan M, Krakovska A, Stolz S (2006) EEG responses to long-term audio-visual stimulation. Int J Psychophysiol 59:81–90. doi:10.1016/j.ijpsycho.2005.02.005

    Article  Google Scholar 

  40. Thuraisingham RA, Tran Y, Boord P, Craig A (2007) Analysis of eyes open, eye closed EEG signals using second-order difference plot. Med Biol Eng Comput 45:1243–1249. doi:10.1007/s11517-007-0268-9

    Article  Google Scholar 

  41. Timmermann DAL, Lubar JF, Rasey HW, Frederick JA (1999) Effects of 20-min audio-visual stimulation (AVS) at dominant alpha frequency and twice dominant alpha frequency on the cortical EEG. Int J Psychophysiol 32:55–61. doi:10.1016/S0167-8760(98)00064-6

    Article  Google Scholar 

  42. Toman J (1941) Flicker potentials and the alpha rhythm in man. J Neurophysiol 4:51–61

    Google Scholar 

  43. Townsend RE, Lubin A, Naitoh P (1975) Stabilisation of alpha frequency by sinusoidally modulated light. Electroencephalogr Clin Neurophysiol 39(5):515–518. doi:10.1016/0013-4694(75)90053-X

    Article  Google Scholar 

  44. Vaisanen J, Malmivuo J, Hyttinen J (2008) Correlation between signal-to-noise ratios and region of interest sensitivity ratios of bipolar EEG measurements. Med Biol Eng Comput 46:381–389. doi:10.1007/s11517-008-0321-3

    Article  Google Scholar 

  45. Vaisanen J, Vaisanen O, Malmivuo J, Hyttinen J (2008) New method for analyzing sensitivity distributions of electroencephalography measurements. Med Biol Eng Comput 46:101–108. doi:10.1007/s11517-007-0303-x

    Article  Google Scholar 

  46. Wada Y, Nanbu Y, Kadoshima R, Jiang Z-Y, Koshino Y, Hashimoto T (1996) Interhemispheric EEG coherence during photic stimulation: sex differences in normal young adults. Int J Psychophysiol 22:45–51. doi:10.1016/0167-8760(96)00011-6

    Article  Google Scholar 

  47. Walter VJ, Walter WG (1949) The central effects of rhythmic sensory stimulation. Electroencephalogr Clin Neurophysiol 1:57–86

    Google Scholar 

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Acknowledgments

This study is supported by Australian Research Council grant LP0562562. The authors would like to thank the anonymous reviewers for their helpful suggestions and review. The authors also gratefully acknowledge Brain Science Institute, Swinburne University, for lending the visual stimulator device to conduct the study.

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Authors and Affiliations

  1. School of Electrical and Computer Engineering, RMIT University, 376-392 Swanston Street, GPO Box 2476V, Melbourne, VIC, 3001, Australia

    Dean Cvetkovic

  2. Science, Engineering and Technology, RMIT University, 376-392 Swanston Street, GPO Box 2476V, Melbourne, VIC, 3001, Australia

    Dean Cvetkovic & Irena Cosic

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  1. Dean Cvetkovic
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Correspondence to Dean Cvetkovic.

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Cvetkovic, D., Cosic, I. EEG inter/intra-hemispheric coherence and asymmetric responses to visual stimulations. Med Biol Eng Comput 47, 1023–1034 (2009). https://doi.org/10.1007/s11517-009-0499-z

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  • DOI: https://doi.org/10.1007/s11517-009-0499-z

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