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[Characteristics of the frequency component of EEG alpha rhythm of patients with neurosis-like schizophrenia (based on spectral analysis data)].

Chaianov Nv, Kostiunina Mb

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Abstract

In 20 patients with neurosis-like schizophrenia and in 10 healthy subjects the authors, using the spectral analysis, assessed the composition of the alpha-range of the baseline EEG and studied the peculiarities of the frequency components of alpha-rhythm in various states. The patients were characterized by multimodality of the baseline EEG. The patients (versus the normal subjects) presented significantly different types of response of the main frequency components of EEG alpha-rhythm to the hyperventilation test.

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What this paper is about

In 20 patients with neurosis-like schizophrenia and in 10 healthy subjects the authors, using the spectral analysis, assessed the composition of the alpha-range of the baseline EEG and studied the peculiarities of the frequency components of alpha-rhythm in various states. The patients were characterized by multimodality of the baseline EEG. The patients (versus the normal subjects) presented significantly different types of response of the main frequency components of EEG alpha-rhythm to the hyperventilation test.

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Available abstract

In 20 patients with neurosis-like schizophrenia and in 10 healthy subjects the authors, using the spectral analysis, assessed the composition of the alpha-range of the baseline EEG and studied the peculiarities of the frequency components of alpha-rhythm in various states. The patients were characterized by multimodality of the baseline EEG. The patients (versus the normal subjects) presented significantly different types of response of the main frequency components of EEG alpha-rhythm to the hyperventilation test.

Key concepts: Electroencephalography, Hyperventilation, Audiology, Schizophrenia (object-oriented programming), Alpha rhythm, Neurosis, Alpha (finance), Rhythm

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[Characteristics of the frequency component of EEG alpha rhythm of patients with neurosis-like schizophrenia (based on spectral analysis data)]. — Research Paper | ScholarLens