Skip to main content

Physiological Tremor Dynamics on Deception-Related Emotional Responses

Abstract—

This study was performed to evaluate the dynamics of physiological tremor evoked by deception-related emotional reactions. The purpose was to create a method of formal evaluation of emotional reactions based on the evoked tremor dynamics. The Guilty Knowledge test was used as a model of evoked modification of the emotional state. A subject was instructed to select a symbol from a standard character set (0–7) and to keep it concealed until the end of the experiment. During an automated experimental procedure, numbers were randomly displayed to the subject on a computer monitor. The physiological tremor acquisition was implemented with 3-axis digital accelerometers fixed on the external side of either index finger. The data reflect unconscious psychomotor responses to deception-related fluctuations of the emotional status. Significant differences were observed in the short-term (300–750 ms) physiological tremor dynamics on deception-related visual stimuli.

This is a preview of subscription content, access via your institution.

Fig. 1.
Fig. 2.
Fig. 3.

REFERENCES

  1. 1

    Duval, C. and Jones, J., Assessment of the amplitude of oscillations associated with high-frequency components of physiological tremor: impact of loading and signal differentiation, Exp. Brain Res., 2005, vol. 163, p. 261.

    Article  PubMed  Google Scholar 

  2. 2

    Apartis, E., Clinical neurophysiology of psychogenic movement disorders: How to diagnose psychogenic tremor and myoclonus, Clin. Neurophysiol., 2014, vol. 44, p. 417.

    Article  CAS  Google Scholar 

  3. 3

    Raethjen, J., Pawlas, F., Lindemann, M., et al., Determinants of physiologic tremor in a large normal population, Clin. Neurophysiol., 2000, vol. 111, p. 1825.

    Article  CAS  PubMed  Google Scholar 

  4. 4

    Elble, R.J., Physiologic tremor, in Mechanisms and Emerging Therapies in Tremor Disorders, Grimaldi, G. and Manto, M., Eds., New York: Springer-Verlag, 2013.

    Google Scholar 

  5. 5

    Elble, R.J., Essential tremor in a monosymptomatic disorder, Mov. Disord., 2002, vol. 17, p. 633.

    Article  PubMed  Google Scholar 

  6. 6

    Hallett, M., Classification and treatment of tremor, JAMA, J. Am. Med. Assoc., 1991, vol. 266, p. 115.

    Article  Google Scholar 

  7. 7

    Dalvi, A. and Premkumar, A., Tremor: etiology, phenomenology, and clinical features, DM, Dis.-Mon., 2011, vol. 57, no. 3, p. 109.

    Article  PubMed  Google Scholar 

  8. 8

    Marsden, C.D. and Owen, D.A.L., Mechanisms underlying emotional variation in parkinsonian tremor, Neurology, 1967, vol. 17, p. 711.

    Article  CAS  PubMed  Google Scholar 

  9. 9

    Raethjen, J., Govindan, R.B., Binder, S., et al., Cortical representation of rhythmic foot movements, Brain Res., 2008, vol. 1236, p. 79.

    Article  CAS  PubMed  Google Scholar 

  10. 10

    Lee, H.J., Lee, W.W., Kim, S.K., et al., Tremor frequency characteristics in Parkinson’s disease under resting-state and stress-state conditions, J. Neurol. Sci., 2016, vol. 362, p. 272.

    Article  PubMed  Google Scholar 

  11. 11

    Annamalai, A., Medical Management of Psychotropic Side Effects, New York: Springer-Verlag, 2017.

    Book  Google Scholar 

  12. 12

    Iacono, W.G. and Lykken, D.T., The scientific status of research on polygraph techniques: the case against polygraph tests, in Modern Scientific Evidence: The Law and Science of Expert Testimony, Faigman, D.L., Kaye, D., Saks, M.J., and Sanders, J., Eds., St. Paul, Mn: West, 2002, vol. 2, p. 483.

  13. 13

    Hira, S. and Furumitsu, I., Polygraphic examinations in Japan: application of the guilty knowledge test in forensic investigations, Int. J. Police Sci. Manage., 2002, vol. 4, p. 16.

    Article  Google Scholar 

  14. 14

    Golyandina, N. and Zhigljavsky, A., Singular Spectrum Analysis for Time Series, Springer Briefs in Statistics, Berlin: Springer-Verlag, 2013.

  15. 15

    Kroese, D.P. and Chan, J.C.C., Statistical Modeling and Computation, New York: Springer-Verlag, 2014.

    Book  Google Scholar 

  16. 16

    Boos, D.D. and Stefanski, L.A., Essential Statistical Inference. Theory and Methods, New York: Springer-Verlag, 2013.

    Book  Google Scholar 

  17. 17

    Aleksandrov, A.Yu., Uplisova, K.O., Popov, O.S., et al., Physiological tremor instantaneous frequency dynamics under various emotionally loaded stimulation, Ross. Fiziol. Zh. im. I.M. Sechenova, 2016, vol. 102, no. 10, p. 1224.

    PubMed  Google Scholar 

  18. 18

    Codispoti, M., Cesarei, A., Biondi, S., and Ferrari, V., The fate of unattended stimuli and emotional habituation: behavioral interference and cortical changes, Cognit., Affective, Behav. Neurosci., 2016, vol. 16, p. 1063.

    Article  Google Scholar 

  19. 19

    Knyazev, V. and Varlamov, G., Poligraf i ego prakticheskoe primenenie: Uchebnoe posobie (Practical Use of Polygraph: Manual), Moscow: Print-Tsentr, 2012.

  20. 20

    Rohrbaugh, J.W., Serevaag, E.J., Stern, J.A., and Ryan, A.H., The physiology of threat: remote assessment using laser Doppler vibrometry, J. Credibility Assess., 2006, vol. 7, no. 2, p. 135.

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to K. O. Uplisova.

Additional information

Translated by D. Timchenko

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Aleksandrov, A.Y., Uplisova, K.O. & Ivanova, V.Y. Physiological Tremor Dynamics on Deception-Related Emotional Responses. Hum Physiol 45, 158–163 (2019). https://doi.org/10.1134/S036211971901002X

Download citation

Keywords:

  • physiological tremor
  • emotion recognition
  • deception detection