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The Use of Single-Electrode Wireless EEG in Biobehavioral Investigations

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Mobile Health Technologies

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1256))

Abstract

The purpose of this chapter is to introduce novice and intermediate EEG researchers to a convenient and user-friendly EEG system from NeuroSky, Inc. In our recent study we were interested in changes in the frontal cortical EEG activity of healthy adults as a function of accommodative stress during performance of a sustained attention task. We used a commercially available low-cost wireless EEG device from NeuroSky (MindSet), which has a single active Fp1 dry electrode capable of recording research-grade EEG coupled with powerful noise-filtering and data software support. The convenience and ease-of-use of MindSet is further enhanced with validated eSense meters of Attention and Meditation. In this chapter we also provide additional data analytic support for EEG power spectrum using SPSS syntax commonly used in many biobehavioral sciences.

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References

  1. Davidson RJ, Jackson D, Larson CL (2000) Human electroencephalogrphy. In: Cacioppo JT, Tassinary LG, Berntson GG (eds) Handbook of psychophysiology, 2nd edn. Cambridge University Press, New York, NY, pp 27–52

    Google Scholar 

  2. Uhlhaas PJ et al (2011) A new look at gamma? High –(>60Hz) γ-band activity in cortical networks: function, mechanisms and impairment. Prog Biophys Mol Biol 105(1–2):14–28

    Article  Google Scholar 

  3. Jaworska N, Berrigan L, Fisher D et al (2012) A pilot study of electrocortical activity in dysfunctional anger: decreased frontocortical activation, impaired attention control, and diminished behavioral inhibition. Aggress Behav 38(6):469–480

    Article  Google Scholar 

  4. Kramer UM, Solbakk AK, Funderud I et al (2013) The role of the lateral prefrontal cortex in inhibitory motor control. Cortex 49(3):837–849

    Article  Google Scholar 

  5. Cao B, Li Y, Li H (2012) Electrophysiological difference between mental state decoding and mental state reasoning. Brain Res 1464:53–60

    Article  CAS  Google Scholar 

  6. Luck SJ, Ford JM, Sarter M et al (2012) CNTRICS final biomarker selection: control of attention. Schizophr Bull 38(1):53–61

    Article  Google Scholar 

  7. Poltavski DV, Biberdorf D, Petros T (2012) Accommodative response and cortical activity during sustained attention. Vision Res 63:1–8

    Article  Google Scholar 

  8. Borsting E, Rouse M, Chu R (2005) Measuring ADHD behaviors in children with symptomatic accommodative dysfunction or convergence insufficiency: a preliminary study. Optometry 76:588–592. doi:10.1016/j.optm.2005.07.007

    Article  Google Scholar 

  9. Granet DB, Gomi CF, Ventura R, Miller-Scholte A (2005) The relationship between convergence insufficiency and ADHD. Strabismus 13:163–168. doi:10.1080/09273970500455436

    Article  Google Scholar 

  10. Cools R, Aarts E, Mehta MA (2011) Paradoxical effects of drugs on cognitive function: the neuropsychopharmacology of the dopamine and other neurotransmitter systems. In: Kapur N (ed) The paradoxical brain. Cambridge University Press, Cambridge, pp 397–417

    Chapter  Google Scholar 

  11. Sheridan MA, Hinshaw S, D’Esposito M (2010) Stimulant medication and prefrontal functional connectivity during working memory in ADHD: a preliminary report. J Atten Disord 14(1):69–78. doi:10.1177/1087054709347444

    Article  Google Scholar 

  12. Loo SL, Hale TS, Macion J, Hanada G, McGough JJ, McCracken JT, Smalley SL (2009) Cortical activity patterns in ADHD during arousal, activation and sustained attention. Neuropsychologia 47:2114–2119

    Article  Google Scholar 

  13. NeuroSky, Inc (2009) Brain wave signal (EEG) of NeuroSky, Inc. http://www.neurosky.com/AcademicPapers.aspx. Accessed 12 Sep 2013

  14. Yasui Y (2009) A brainwave signal measurement and data processing technique for daily life applications. J Physiol Anthropol 28(3):145–150. doi:10.2114/jpa2.28.145

    Article  Google Scholar 

  15. Rebolledo-Mendez G, Dunwell I, Martínez-Mirón EA, Vargas-Cerdán D et al (2009) Assessing NeuroSky’s usability to detect attention levels in an assessment exercise. Paper presented at the 13th International Conference on Human-Compute Interaction, San Diego, CA

    Google Scholar 

  16. Crowley K, Sliney A, Pitt I et al (2010) Evaluating a brain-computer interface to categorise human emotional response. Paper presented at the 10th IEEE International Conference on Advanced Learning Technologies, Sousse, Tunisia

    Google Scholar 

  17. Gola M, Magniski M, Szumska I et al (2013) EEG band activity is related to attention and attentional deficits in the visual performance of elderly subjects. Int J Psychophysiol http://dx.doi.org/10.1016/j.ijpsycho.2013.05.007

  18. Davidson RJ, Chapman JP, Chapman LJ et al (1990) Asymmetrical brain electrical activity discriminates between psychometrically matched verbal and spatial cognitive tasks. Psychophysiology 27:528–543

    Article  CAS  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Psychology, University of North Dakota, 319 Harvard St. Stop #8380, Grand Forks, ND, 58202, USA

    Dmitri V. Poltavski Ph.D.

Authors
  1. Dmitri V. Poltavski Ph.D.
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Corresponding author

Correspondence to Dmitri V. Poltavski Ph.D. .

Editor information

Editors and Affiliations

  1. National Cancer Institute, Rockville, Maryland, USA

    Avraham Rasooly

  2. Fischell Department of Bioengineering, University of Maryland, College Park, Maryland, USA

    Keith E. Herold

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© 2015 Springer Science+Business Media New York

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Poltavski, D.V. (2015). The Use of Single-Electrode Wireless EEG in Biobehavioral Investigations. In: Rasooly, A., Herold, K. (eds) Mobile Health Technologies. Methods in Molecular Biology, vol 1256. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2172-0_25

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  • DOI: https://doi.org/10.1007/978-1-4939-2172-0_25

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-2171-3

  • Online ISBN: 978-1-4939-2172-0

  • eBook Packages: Springer Protocols

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