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Dynamical Hurst analysis identifies EEG channel differences between PTSD and healthy controls
- Source :
- PLoS ONE, Vol 13, Iss 7, p e0199144 (2018), PLoS ONE
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
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.
- Subjects :
- 020205 medical informatics
Physiology
Audio Signal Processing
lcsh:Medicine
02 engineering and technology
Electroencephalography
Audiology
Systems Science
Cognition
Learning and Memory
0302 clinical medicine
Eeg data
Medicine and Health Sciences
0202 electrical engineering, electronic engineering, information engineering
lcsh:Science
Statistical Data
Clinical Neurophysiology
Brain Mapping
Multidisciplinary
medicine.diagnostic_test
Post-Traumatic Stress Disorder
Healthy subjects
Anxiety Disorders
Electrophysiology
Bioassays and Physiological Analysis
Brain Electrophysiology
Physical Sciences
Cohort
Engineering and Technology
Psychology
Statistics (Mathematics)
Research Article
Computer and Information Sciences
medicine.medical_specialty
Channel (digital image)
Imaging Techniques
Neurophysiology
Neuroimaging
Neuropsychiatric Disorders
Research and Analysis Methods
Neuroses
Skewness
03 medical and health sciences
Memory
Mental Health and Psychiatry
medicine
Long-Term Memory
Statistical hypothesis testing
Hurst exponent
Electrophysiological Techniques
lcsh:R
Biology and Life Sciences
Probability Theory
Probability Distribution
Hurst analysis
Nonlinear Dynamics
Signal Processing
Cognitive Science
lcsh:Q
Clinical Medicine
Mathematics
030217 neurology & neurosurgery
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....09828fc7d909ce90b5a7ac47abeedebe