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Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference

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Abstract

During visual fixation, we unconsciously make tiny, involuntary eye movements or ‘microsaccades’, which have been shown to have a crucial influence on analysis and perception of our visual environment. Given the small size and high irregularity of microsaccades, it is a significant challenge to detect and extract the microsaccade-related neural activities. In this work, we present a novel application of the independent component analysis with reference algorithm to extract microsaccade-related neural activity from single-trial local field potential (LFP). We showed via extensive computer simulations that our approach can be used to reliably extract microsaccade-related activity. We then applied our method to real cortical LFP data collected from multiple visual areas of monkeys performing a generalized flash suppression task and demonstrated that our approach has excellent performance in extracting microsaccade-related signal from single-trial LFP data.

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References

  1. Kowler E, Steinman RM (1980) Small saccades serve no useful purpose: reply to a letter by R.W. Ditchburn. Vision Res 20(3):273–276

    Article  Google Scholar 

  2. Martinez-Conde S, Macknik SL, Troncoso XG et al (2006) Microsaccades counteract visual fading during fixation. Neuron 49(2):297–305

    Article  Google Scholar 

  3. Rucci M, Lovin R, Ploetti M et al (2007) Miniature eye movements enhance fine spatial detail. Nature 447(7146):851–854

    Article  Google Scholar 

  4. Martinez-Conde S, Macknik SL, Hubel DH (2004) The role of fixational eye movements in visual perception. Nat Rev Neurosci 5(3):229–240

    Article  Google Scholar 

  5. Herrington TM, Masse NY, Hachmeh KJ et al (2009) The effect of microsaccades on the correlation between neural activity and behavior in middle temporal, ventral intraparietal, and lateral intraparietal areas. J Neurosci 29(18):5793–5805

    Article  Google Scholar 

  6. Hafed ZM, Goffart L, Krauzlis RJ (2009) A neural mechanism for microsaccade generation in the primate superior colliculus. Science 323(5916):940–943

    Article  Google Scholar 

  7. Dimigen O, Valsecchi M, Sommer W et al (2009) Human microsaccade-related visual brain response. J Neurosci 29(39):12321–12331

    Article  Google Scholar 

  8. Leopold DA, Logothetis NK (1998) Microsaccade differentially modulate neural activity in the striate and extrastriate visual cortex. Exp Brain Res 123(3):341–345

    Article  Google Scholar 

  9. Bosman CA, Womelsdorf T, Desimone R et al (2009) A microsaccadic rhythm modulates gamma-band synchronization and behavior. J Neurosci 29(30):9471–9480

    Article  Google Scholar 

  10. Yuval-Greenberg S, Tomer O, Keren AS et al (2008) Transient induced gamma-band response in EEG as a manifestation of miniature saccades. Neuron 58(3):429–441

    Article  Google Scholar 

  11. Lu W, Rajapakse JC (2006) ICA with reference. Neurocomputing 69:2244–2257. doi:10.1016/j.neucom.2005.06.021

    Article  Google Scholar 

  12. Lin Q, Zheng Y, Yin F et al (2007) A fast algorithm for one-unit ICA-R. Inf Sci 177(5):1265–1275

    Article  MathSciNet  Google Scholar 

  13. Huang D, Mi J (2007) A new constrained independent component analysis method. IEEE Trans Neural Netw 18(5):1532–1535

    Article  Google Scholar 

  14. Llinares R, Igual J (2009) Application of constrained independent component analysis algorithms in electrocardiogram arrhythmias. Artif Intell Med 47(2):121–133

    Article  Google Scholar 

  15. Rasheed T, Lee Y, Lee SY et al (2009) Attenuation of artifacts in EEG signals measured inside an MRI scanner using constrained independent component analysis. Physiol Meas 30(4):387–404

    Article  Google Scholar 

  16. Wilke M, Logothetis NK, Leopold DA (2003) Generalized flash suppression of salient visual target. Neuron 39(6):1043–1052

    Article  Google Scholar 

  17. Wilke M, Logothetis NK, Leopold DA (2006) Local field potential reflects perceptual suppression in monkey visual cortex. Proc Natl Acad Sci USA 103(46):17507–17512

    Article  Google Scholar 

  18. Cui J, Wilke M, Logothetis NK et al (2009) Visibility states modulate microsaccade rate and direction. Vision Res 49(2):228–236

    Article  Google Scholar 

  19. Hyvarinen A (1998) New approximations of differential entropy for independent component analysis and projection pursuit. In: Jordan MI, Kearns MJ, Solla SA (eds) Advances in neural information processing systems, vol 10. MIT Press, Cambridge, pp 273–279

    Google Scholar 

  20. Xu L, Stoica P, Li J et al (2009) ASEO: A method for the simultaneous estimation of single-trial event-related potentials and ongoing brain activities. IEEE Trans Biomed Eng 56(1):111–121

    Article  MathSciNet  Google Scholar 

  21. Wang Z, Maier A, Leopold DA et al (2007) Single-trial evoked potential estimation using wavelet. Comput Biol Med 37(4):463–473

    Article  Google Scholar 

Download references

Acknowledgments

This work is partially supported by NIH. We thank Dr Melanie Wilke for proving the data, which were collected at the laboratory of Dr Nikos Logothetis at Max Planck Institute for Biological Cybernetics in Germany.

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Authors and Affiliations

  1. School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, 19104, USA

    Meng Hu, Hongmiao Zhang & Hualou Liang

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  1. Meng Hu
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  2. Hongmiao Zhang
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  3. Hualou Liang
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Correspondence to Hualou Liang.

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Hu, M., Zhang, H. & Liang, H. Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference. Neural Comput & Applic 20, 1181–1186 (2011). https://doi.org/10.1007/s00521-010-0469-2

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  • DOI: https://doi.org/10.1007/s00521-010-0469-2

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