Brain Waves Characteristics in Individuals with Obsessive-Compulsive Disorder: A Preliminary Study

Authors

  • Tahereh Najafi Dept of Electrical, Electronics & Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia https://orcid.org/0000-0003-1692-3558
  • Rosmina Jaafar Dept of Electrical, Electronics & Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia https://orcid.org/0000-0001-8019-0446
  • Kiomars Najafi Dept of Electrical, Electronics & Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia
  • Fatemeh Eslamdoust-Siahestalkhi Kavosh Cognitive Behavior Sciences and Addiction Research Center, Dept of Psyciatry, Guilan University of Medical Sciences, Guilan, Iran https://orcid.org/0000-0002-7715-8389

DOI:

https://doi.org/10.3991/ijoe.v18i01.26805

Keywords:

Obsessive-Compulsive Disorder, EEG, Statistical Analysis, Linear Discrimination Analysis, Localization

Abstract


Obsessive-compulsive disorder (OCD) is a mental illness causing patients to suffer from recurring undesirable thoughts (obsessions) conducting to do affairs repetitively (compulsions). Brain signals recorded by Electroencephalogram (EEG) can be analyzed in order to present a diagnostic procedure considering the localization approach. In this study, the signals acquired by EEG have been recorded from three groups; two case groups; patients with severe obsessive symptoms and patients with severe compulsive symptoms, and one healthy control group. Brain signal processing techniques have been applied on the signals emitted from frontal and parieto-occipital regions to discover the features leading to the best discrimination between case groups and healthy controls. In this regard, after preprocessing, the features of time and frequency domains presenting the significant meaningful relation were nominated for classification by linear discrimination analysis (LDA). Although the parieto-occipital region performed better in the diagnosis for both obsessive and compulsive groups, the features gained from the frontal cortex resulted in better discrimination for only the compulsive group. In addition, time domain features had a more significant influence in diagnosis rather than frequency domain for both case groups. The study presented particular characteristics of brain signals in two dimensions of OCD in specific brain regions leading to more accurate presurgical assessments in the studies between the affected brain regions and behavioral issues.

Author Biographies

Tahereh Najafi, Dept of Electrical, Electronics & Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia

TAHEREH NAJAFI (B.Sc, M.Sc) is currently a Ph.D candidate at Dept. Electrical, Electronics and Systems Engineering, Faculty of Engineering and Built Environment, in Universiti Kebangsaan Malaysia (UKM). She has background in Computer Software Engineering concentrated on EEG and brain signal processing. Her interests are summarized in Brain-Computer Interface (BCI) studies in the functional and cellular level using signal processing and neuronal modelling.

Rosmina Jaafar, Dept of Electrical, Electronics & Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia

ROSMINA JAAFAR (B.Sc, M.Sc, Ph.D) is senior lecturer at Dept. Electrical, Electronics & Systems Engineering, Universiti Kebangsaan Malaysia (UKM). She has attained Ph.D in Electrical, Electronics & Systems Engineering from UKM in 2009, M.Sc in Electronics (Medical Systems) from University of Hertfordshire (UK) in 2000 and B.Sc. in Biomedical Engineering from Case Western Reserve University (USA) in 1991. Her research work revolves around developing healthcare technologies that include biomedical signal processing, imaging, informatics and medical electronics instrumentation.

Kiomars Najafi, Dept of Electrical, Electronics & Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia

KIOMARS NAJAFI (M.D) is Associate Professor at Dept. Psychiatry, Guilan University of Medical Sciences (GUMS). He has graduated in (General Medicine) and (Psychiatry) from GUMS in 1995 and 2000, respectively. His research interests are Transcranial Direct Current Stimulation (TDCS) and Brain-Computer Interface (BCI) techniques in medical science and treatment paralyzed limbs and mental disorders.

Fatemeh Eslamdoust-Siahestalkhi, Kavosh Cognitive Behavior Sciences and Addiction Research Center, Dept of Psyciatry, Guilan University of Medical Sciences, Guilan, Iran

FATEHEMH ESLAMDOUST-SIAHESTALKHI (B.Sc, M.Sc) is Clinical Psychialogist in Guilan Univesity of Medical Sciences (GUMS). She has received her M.Sc. in (Psychology) from Guilan Univesity, Iran. Her interest refers to the investigation on neuropyshology and biomedical sciences

Downloads

Published

2022-01-26

How to Cite

Najafi, T., Jaafar, R., Najafi, K., & Eslamdoust-Siahestalkhi, F. (2022). Brain Waves Characteristics in Individuals with Obsessive-Compulsive Disorder: A Preliminary Study. International Journal of Online and Biomedical Engineering (iJOE), 18(01), pp. 96–110. https://doi.org/10.3991/ijoe.v18i01.26805

Issue

Section

Papers