Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression-Reference-Cited by-同舟云学术

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Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression

Published:2019-12-09 Issue:2 Volume:29 Page:
ISSN:1049-8931
Container-title:International Journal of Methods in Psychiatric Research
language:en
Short-container-title:Int J Methods Psychiatr Res

Author:

Čukić Milena¹,Stokić Miodrag²^ORCID,Radenković Slavoljub³,Ljubisavljević Miloš⁴,Simić Slobodan⁵,Savić Danka⁶

Affiliation:

1. Department of General Physiology and Biophysics, School of BiologyUniversity of Belgrade Belgrade Serbia

2. Cognitive Neuroscience Department, Life Activities Advancement Center Belgrade Serbia

3. Division for Back‐End Development, TomTom Amsterdam Netherlands

4. Department of Physiology, College of Medicine and Health SciencesUAE University Al Ain United Arab Emirates

5. Department for Forensic Psychiatry, Institute for Mental Health Belgrade Serbia

6. Laboratory of Theoretical and Condensed Matter Physics 020/2, Vinča InstituteUniversity of Belgrade Belgrade Serbia

Funder

College of Medicine and Health Sciences, United Arab Emirates University

Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja

Publisher

Wiley

Subject

Psychiatry and Mental health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mpr.1816

Reference55 articles.

1. A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals

2. Fractality analysis of frontal brain in major depressive disorder

3. Akar S. A. Kara S. Agambayev S. &Bilgic V.(2015).Nonlinear analysis of EEG in major depression with fractal dimensions. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 7410–7413). IEEE. DOI:https://doi.org/10.1109/EMBC.2015.7320104

4. The stability of resting frontal electroencephalographic asymmetry in depression

5. Non-linear EEG analyses predict non-response to rTMS treatment in major depressive disorder

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