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Dynamical Hurst analysis identifies EEG channel differences between PTSD and healthy controls

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  • Bahareh Rahmani
  • Chung Ki Wong
  • Payam Norouzzadeh
  • Jerzy Bodurka
  • Brett McKinney

Abstract

We employ a time-dependent Hurst analysis to identify EEG signals that differentiate between healthy controls and combat-related PTSD subjects. The Hurst exponents, calculated using a rescaled range analysis, demonstrate a significant differential response between healthy and PTSD samples which may lead to diagnostic applications. To overcome the non-stationarity of EEG data, we apply an appropriate window length wherein the EEG data displays stationary behavior. We then use the Hurst exponents for each channel as hypothesis test statistics to identify differences between PTSD cases and controls. Our study included a cohort of 12 subjects with half healthy controls. The Hurst exponent of the PTSD subjects is found to be significantly smaller than the healthy controls in channel F3. Our results indicate that F3 may be a useful channel for diagnostic applications of Hurst exponents in distinguishing PTSD and healthy subjects.

Suggested Citation

  • Bahareh Rahmani & Chung Ki Wong & Payam Norouzzadeh & Jerzy Bodurka & Brett McKinney, 2018. "Dynamical Hurst analysis identifies EEG channel differences between PTSD and healthy controls," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-10, July.
    • Handle: RePEc:plo:pone00:0199144
    DOI: 10.1371/journal.pone.0199144
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    1. L. Ingber, 1998. "Statistical mechanics of neocortical interactions: Training and testing canonical momenta indicators of EEG," Lester Ingber Papers 98ni, Lester Ingber.
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