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Title of Journal: Acta Neurol Belg

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Abbravation: Acta Neurologica Belgica

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Springer Milan

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DOI

10.1007/bf01282407

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2240-2993

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Electroencephalographic characteristics of Iranian

Authors: Irman Chaychi Mohsen Foroughipour Hossein Haghir Ali Talaei Ashkan Chaichi
Publish Date: 2015/02/05
Volume: 115, Issue: 4, Pages: 665-670
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Abstract

Schizophrenia is a prevalent psychiatric disease with heterogeneous causes that is diagnosed based on history and mental status examination Applied electrophysiology is a noninvasive method to investigate the function of the involved brain areas In a previously understudied population we examined acute phase electroencephalography EEG records along with pertinent Positive and Negative Syndrome Scale PANSS and Mini Mental State Examination MMSE scores for each patient Sixtyfour hospitalized patients diagnosed to have schizophrenia in EbneSina Hospital were included in this study PANSS and MMSE were completed and EEG tracings for every patient were recorded Also EEG tracings were recorded for 64 matched individuals of the control group Although the predominant wave pattern in both patients and controls was alpha theta waves were almost exclusively found in eight 125  patients with schizophrenia Pathological waves in schizophrenia patients were exclusively found in the frontal brain region while identified pathological waves in controls were limited to the temporal region No specific EEG finding supported laterality in schizophrenia patients PANSS and MMSE scores were significantly correlated with specific EEG parameters all P values 004 Patients with schizophrenia demonstrate specific EEG patterns and show a clear correlation between EEG parameters and PANSS and MMSE scores These characteristics are not observed in all patients which imply that despite an acceptable specificity they are not applicable for the majority of schizophrenia patients Any deduction drawn based on EEG and scoring systems is in need of larger studies incorporating more patients and using better functional imaging techniques for the brain


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