Cerquera Alexander, Gjini Klevest, Bowyer Susan M, Boutros Nash
1 Facultad de Ingeniería Electrónica y Biomédica-Research Group Complex Systems, Universidad Antonio Nariño, Bogota, Colombia.
2 Division of Neurosurgery, Seton Brain and Spine Institute, Austin, TX, USA.
Clin EEG Neurosci. 2017 Nov;48(6):376-382. doi: 10.1177/1550059417715388. Epub 2017 Jun 16.
Electroencephalogram (EEG) contains valuable information obtained noninvasively that can be used for assessment of brain's processing capacity of patients with psychiatric disorders. The purpose of the present work was to evaluate possible differences in EEG complexity between deficit (DS) and nondeficit (NDS) subtypes of schizophrenia as a reflection of the cognitive processing capacities in these groups. A particular nonlinear metric known as Lempel-Ziv complexity (LZC) was used as a computational tool in order to determine the randomness in EEG alpha band time series from 3 groups (deficit schizophrenia [n = 9], nondeficit schizophrenia [n = 10], and healthy controls [n = 10]) according to time series randomness. There was a significant difference in frontal EEG complexity between the DS and NDS subgroups ( p = .013), with DS group showing less complexity. A significant positive correlation was found between LZC values and Positive and Negative Syndrome Scale (PANSS) general psychopathology scores (ie, larger frontal EEG complexity correlated with more severe psychopathology), explained partially by the emotional component subscore of the PANSS. These findings suggest that cognitive processing occurring in the frontal networks in DS is less complex compared to NDS patients as reflected by EEG complexity measures. The data also suggest that there may be a relationship between the degree of emotionality and the complexity of the frontal EEG signal.
脑电图（EEG）包含通过非侵入性获得的有价值信息，可用于评估精神疾病患者大脑的处理能力。本研究的目的是评估精神分裂症缺陷型（DS）和非缺陷型（NDS）亚型之间脑电图复杂性的可能差异，以此反映这些组中的认知处理能力。一种称为莱姆尔-齐夫复杂性（LZC）的特定非线性指标被用作计算工具，以便根据时间序列随机性确定来自3组（缺陷型精神分裂症[n = 9]、非缺陷型精神分裂症[n = 10]和健康对照[n = 10]）的脑电图α波段时间序列中的随机性。DS和NDS亚组之间额叶脑电图复杂性存在显著差异（p = .013），DS组的复杂性较低。LZC值与阳性和阴性症状量表（PANSS）的总体精神病理学评分之间存在显著正相关（即额叶脑电图复杂性越高，精神病理学越严重），部分由PANSS的情感成分子评分解释。这些发现表明，与NDS患者相比，DS患者额叶网络中的认知处理通过脑电图复杂性测量反映出不太复杂。数据还表明，情感程度与额叶脑电图信号的复杂性之间可能存在关系。
