Yazar "Ozcoban, Mehmet Akif" seçeneğine göre listele

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    Analysis of Frontal Phase Synchronization in OCD Patients
    (IEEE, 2018) Ozcoban, Mehmet Akif; Tan, Oguz; Akan, Aydin
    Obsessive Compulsive Disorder (OCD) is a common neuropsychiatric disorder in the society. Functional disorders in the frontal side were detected in the clinical evaluation of OCD with brain imaging systems. In this study, the effects of the OCD on the frontal part are investigated with Intertrial Phase Clustering (ITPC) method. According to the analysis results, significant loss of synchronization was found in all EEG bands for 6 electrodes on the frontal region. In addition, that these results are consistent with the results obtained by imaging devices, it was also indicated that decreased synchronization cause functional dysconnectivity. Besides, when evaluated together with the results of studies investigating the relationship between EEG waves and cognitive functions, it also indicates that OCD may cause many cognitive impairments, such as loss of memory and attention.
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    Classification of EEG Synchronization Values of Obsessive Compulsive Disorders Patients Using Support Vector Machine Method
    (IEEE, 2015) Tan, Oguz; Ozcoban, Mehmet Akif; Aydin, Serap
    Obsessive Compulsive Disorders causes disruptive effect on brain oscillations. One of this disruptive effects is loss of synchronization. Global Field Synchronization indice that is calculated by Global Field Synchronization Method can detect degree of synchronization of EEG. According to analysis results, significantly difference was found between Global Field Synchronization Indice of OCD patients and healthy group in theta and delta frequency bands. For the purpose of testing success of GFS method in detecting OCD, GFS values of OCD patients and healthy group classified with Support Vector Machine method. In order to increase the performance of classification model, training and test data was selected by Cross Validation Method. Accuracy rate of classification results was found at 94.75 in delta band and 78.048 percent in theta band. The system can assist the physicians for diagnosing OCD. The classification results has shown that GFS is a successful method for to diagnose OCD.
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    Decreased global field synchronization of multichannel frontal EEG measurements in obsessive-compulsive disorders
    (Springer Heidelberg, 2018) Ozcoban, Mehmet Akif; Tan, Oguz; Aydin, Serap; Akan, Aydin
    Global field synchronization (GFS) quantifies the synchronization level of brain oscillations. The GFS method has been introduced to measure functional synchronization of EEG data in the frequency domain. GFS also detects phase interactions between EEG signals acquired from all of the electrodes. If a considerable amount of local brain neurons has the same phase, these neurons appear to interact with each other. EEG data were received from 17 obsessive-compulsive disorder (OCD) patients and 17 healthy controls (HC). OCD effects on local and large-scale brain circuits were studied. Analysis of the GFS results showed significantly decreased values in the delta and full frequency bands. This research suggests that OCD causes synchronization disconnection in both the frontal and large-scale regions. This may be related to motivational, emotional and cognitive dysfunctions.
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    Frontal Synchronization Biases in Obsessive-Compulsive Disorders
    (IEEE, 2019) Ozcoban, Mehmet Akif; Akan, Aydin
    Obsessive Compulsive Disorder (OCD) is one of the most common neuropsychiatric disorder in the community. Several neuroimaging systems shows that OCD causes functional disorders in the frontal lobe. In this study, the effects of the OCD on the frontal part are investigated with Inter-Channels Phase Clustering (ICPC) method. According to the Significant desynchronization was detected in slow EEG bands for 7 electrodes on the frontal lobe. These findings are consistent with the previous results that obtained by other neuroimaging devices. The results are also showed that loss of frontal synchronization cause functional disconnectivity. In addition to this, it can be concluded that OCD may cause many cognitive dysfunctions, such as loss of memory.
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    Investigation of EEG Relative Power Spectral Changes in Obsesive Compulsive Disorder Patients
    (IEEE, 2017) Akan, Aydin; Ozcoban, Mehmet Akif; Tan, Oguz
    Obsessive Compulsive Disorder (OCD) is a neuropsychiatric disorder that usually negatively affects feelings and thoughts of adolescent adversely. Studies of OCD with imaging methods have found intense mental activity in the frontal region. In this study, relative power values are calculated for the channels representing the frontal regions. These values were compared with the data values of the data obtained from healthy volunteers. After statistical analysis, power values of OCD patients were found higher in the teta and alpha frequency regions than in the control group. These values found in the alpha band, which are known to be important for mental activities, show a good deal of previous work done with imaging methods.
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    Investigation the Level of Neural Synchronization by Using Global Field Synchronization Method in Obsessive Compulsive Disorder
    (IEEE, 2014) Ozcoban, Mehmet Akif; Kara, Sadik; Tan, Oguz; Aydin, Serap
    Obsessive Compulsive Disorder (OCD) is a neuropsychiatric brain disorder disease and diagnosis, treatment process of the disease is used EEG analysis. Recent studies suggested that the OCD is caused by dysfunction in brain's frontal lobe. The GFS that was developed as a novel synchronization criteria, computes phase difference between neural oscillations in the brain. Studies were published that indicates fall of GFS values. In this study, it was investigated how OCD effect phase difference between neuronal oscillations. For this purpose, results of the GFS method was applied to 19 channels EEG, indicates OCD decrease of neural synchronization in brain's frontal lobe at Delta and Beta 3 frequency bands..
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    A Novel Approach for Computing EEG Phase Synchronization: Interchannels Phase Clustering Method
    (IEEE, 2018) Ozcoban, Mehmet Akif; Akan, Aydin
    EEG is one of the most used devices in brain examinations, provides important information about many neurological diseases. The power of EEG signal's phase synchronization is a parameter that has been commonly used in brain investigations. The Interchannels Phase Clustering (ICPC) method that we propose in our study, is an improved version of the Intertrial Phase Clustering (ICPC) method. Global and regional phase synchronization studies can be done with ICPC method. The method is applied to the signals produced by an EEG simulator and the results are computed with high accuracy. This method can be applied to neuropsychiatric diseases and provide important information on functional connectivity and cognitive functions.