The Relationship Between QEEG Waves as a Neurophysiological Markers in FP1 / Fp2 Areas and Multiple Aspects of Impulsivity

The prevalence of borderline personality disorder is more than other type of personality disorders. It has been shown that there are some neurological deficits in patients with borderline personality disorder such as cognitive inhibition and self-injury, but the few s tudies aimed to decrease this deficit have been conducted. The purpose of this s tudy was to inves tigate the effectiveness of emotional working memory training on the EEG asymmetry index in the beta band between two hemispheres in people with borderline personality disorder. Materials and Methods: The method of the current s tudy was experimental and its design was pretes t-pos ttes t with the control group. All s tudents of the University of Mohaghegh Ardebili with borderline personality disorder in 96-97 academic years comprised the s tatis tical population of this s tudy. Forty people selected by screening method via scale of borderline personality disorder trait and the s tructural clinical interview for mental disorders (SCID-II) and assigned to two experimental and control groups. The experimental group received 10 sessions of emotional working memory training, but no intervention was provided for the control group. The EEG device was used to record the electrical activity of the brain from the frontal lobe (Fp1, Fp2, F3, F4, F7, F8). Results: The results showed that the mean scores of the interhemispheric beta asymmetry have increased in the experimental group compared to the control group at the pos t-tes t s tage. The emotional working memory training can lead to increased interhemispheric beta asymmetry. This intervention can increase the beta asymmetry by enhancing the beta wave in left hemisphere rather than right. Conclusion: the emotional working memory training can be the main axis to improve interhemispheric beta asymmetry in people with borderline personality disorder.

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Comparing the Absolute Power of Brain Waves in the Frontal Area among People with Major Depressive Disorder, Obsessive-Compulsive Disorder and Normal

Basharpoor

Ahmadi

Molavi

et al. 2021

Shefaye Khatam

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Attempting to recognize specific QEEG markers in depression and obsessive-compulsive disorders is the one of main interests of research in quantitative electroencephalography. The purpose of the present study was to compare the absolute power of brain waves in the frontal area in people with major depressive disorder and obsessive-compulsive disorder. Materials and Methods: The method of this study is causal-comparative. The statistical population of this study consisted of all individuals with major depressive disorder and obsessive-compulsive disorder referring to the mental health Clinic of Fatemi Hospital in 2019 in Ardabil, Iran. 15 people with major depressive disorder and 15 subjects with obsessive-compulsive disorder were selected by purposeful sampling. Furthermore, 15 normal individuals were selected via the sampling method from the relatives of patients. Psychiatric diagnosis and structured clinical interview, Beck depression inventory, and Foa et al. obsessive-compulsive inventory were used to collect data. The QEEG recording was performed at the Psychological Laboratory of Mohaghegh Ardabili University and the data were analyzed by Neuroguide software. Results: The results showed that the absolute power of delta (F= 3.444), theta (F=51.566), alpha (F=217.1144), and beta (F= 175.555) waves differ between people with depressive disorder and obsessivecompulsive disorder compared to the control group. The delta, theta, and alpha absolute power at frontal lobes of patients with obsessive-compulsion significantly increased, and the alpha and beta absolute power at frontal lobes of patients with major depressive disorder significantly decreased compared to the control group. Conclusions: These results showed that the pattern of brain waves can be posed as an index for diagnosing and follow-upping of the therapeutic outcomes of major depression and obsessive-compulsive disorders Furthermore, it can be used in designing neurofeedback interventions for these disorders.s s

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The Relationship Between QEEG Waves as a Neurophysiological Markers in FP1 / Fp2 Areas and Multiple Aspects of Impulsivity

Cited by 3 publications

References 21 publications

Child Sexual Abuse as a Predictor of Impulsivity Dimensions: Examining Depression/Anxiety and Deviant Peer Association as Mediating Mechanisms

Child Sexual Abuse as a Predictor of Impulsivity Dimensions: Examining Depression/Anxiety and Deviant Peer Association as Mediating Mechanisms

The Effectiveness of Emotional Working Memory Training on Beta Asymmetry in Frontal Regions of Two Hemispheres in People with Borderline Personality Disorder

Comparing the Absolute Power of Brain Waves in the Frontal Area among People with Major Depressive Disorder, Obsessive-Compulsive Disorder and Normal

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