Abnormal Entropy Modulation of the EEG Signal in Patients With Schizophrenia During the Auditory Paired-Stimulus Paradigm

Frontiers in Neuroinformatics

卷:13

Yan Niu¹  Jie Xiang¹  Hao Guo¹  Dandan Li¹  Bin Wang¹  Xiaohong Cui¹  Rui Cao¹  Huifang Cui¹  Cheng Tian¹  Shuping Tan²  Ting Yan³ 

[1] College of Information and Computer, Taiyuan University of Technology, Taiyuan, China;

[2] Psychiatry Research Center, Beijing Huilongguan Hospital, Peking University, Beijing, China;

[3] Translational Medicine Research CenterShanxi Medical University, Taiyuan, China;

关键词: schizophrenia;    electroencephalogram;    fuzzy entropy;    sensory gating;    complexity;   

DOI  :  10.3389/fninf.2019.00004

来源: DOAJ

【 摘 要 】

The complexity change in brain activity in schizophrenia is an interesting topic clinically. Schizophrenia patients exhibit abnormal task-related modulation of complexity, following entropy of electroencephalogram (EEG) analysis. However, complexity modulation in schizophrenia patients during the sensory gating (SG) task, remains unknown. In this study, the classical auditory paired-stimulus paradigm was introduced to investigate SG, and EEG data were recorded from 55 normal controls and 61 schizophrenia patients. Fuzzy entropy (FuzzyEn) was used to explore the complexity of brain activity under the conditions of baseline (BL) and the auditory paired-stimulus paradigm (S1 and S2). Generally, schizophrenia patients showed significantly higher FuzzyEn values in the frontal and occipital regions of interest (ROIs). Relative to the BL condition, the normalized values of FuzzyEn of normal controls were decreased greatly in condition S1 and showed less variance in condition S2. Schizophrenia patients showed a smaller decrease in the normalized values in condition S1. Moreover, schizophrenia patients showed significant diminution in the suppression ratios of FuzzyEn, attributed to the higher FuzzyEn values in condition S1. These results suggested that entropy modulation during the process of sensory information and SG was obvious in normal controls and significantly deficient in schizophrenia patients. Additionally, the FuzzyEn values measured in the frontal ROI were positively correlated with positive scores of Positive and Negative Syndrome Scale (PANSS), indicating that frontal entropy was a potential indicator in evaluating the clinical symptoms. However, negative associations were found between the FuzzyEn values of occipital ROIs and general and total scores of PANSS, likely reflecting the compensation effect in visual processing. Thus, our findings provided a deeper understanding of the deficits in sensory information processing and SG, which contribute to cognitive deficits and symptoms in patients with schizophrenia.

【 授权许可】

Unknown