Analysis of the brain activity is the major research area in human neuroscience. Besides many works that have been conducted on analysis of brain activity in case of healthy subjects, investigation of brain activity in case of patients with different brain disorders also has aroused the attention of many researchers. An interesting category of works belong to the comparison of brain activity between healthy subjects and patients with brain disorders. In this research, for the first time, we compare the brain activity between adolescents with symptoms of schizophrenia and healthy subjects, by information-based analysis of their Electroencephalography (EEG) signals. For this purpose, we benefit from the Shannon entropy as the indicator of information content. Based on the results of analysis, EEG signal in case of healthy subjects contains more information than EEG signal in case of subjects with schizophrenia. The result of statistical analysis showed the significant variation in the Shannon entropy of EEG signal between healthy adolescents and adolescents with symptoms of schizophrenia in case of P3, O1 and O2 channels. The employed method of analysis in this research can be further extended in order to investigate the variations in the information content of EEG signal in case of subjects with other brain disorders versus healthy subjects.

中文翻译：

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健康青少年和有精神分裂症症状青少年的脑电图 (EEG) 信号的基于信息的分类

大脑活动分析是人类神经科学的主要研究领域。除了对健康受试者的大脑活动进行分析的许多工作外，对患有不同脑部疾病的患者的大脑活动的调查也引起了许多研究人员的关注。一个有趣的作品类别属于健康受试者和脑部疾病患者之间大脑活动的比较。在这项研究中，我们首次通过对脑电图 (EEG) 信号的基于信息的分析，比较了有精神分裂症症状的青少年和健康受试者之间的大脑活动。为此，我们受益于香农熵作为信息内容的指标。根据分析结果，健康受试者的 EEG 信号比精神分裂症受试者的 EEG 信号包含更多信息。统计分析结果表明，在P3、O1和O2通道的情况下，健康青少年和有精神分裂症症状的青少年的脑电信号香农熵存在显着差异。本研究中采用的分析方法可以进一步扩展，以研究在患有其他脑部疾病的受试者与健康受试者的情况下脑电信号信息内容的变化。