Bob Petr, Susta Marek, Glaslova Katerina, Pavlat Josef, Raboch Jiri
Centre for Neuropsychiatric Research of Traumatic Stress, and Department of Psychiatry, 1st Faculty of Medicine, Charles University, Prague, Czech Republic.
Neuro Endocrinol Lett. 2007 Feb;28(1):11-5.
Recent evidence indicates that in psychiatric patients with schizophrenia and depression, lateralized EDA changes linked to temporal-limbic electrophysiological dysfunction occur. These clinical findings provide evidence for brain asymmetry and disruptions related to integrative brain activity in pathological conditions.
These changes in brain asymmetry may be assessed by linear analysis of EDA measurement and nonlinear analysis of brain complexity calculated as information entropy. Two groups of patients with established diagnosis of paranoid schizophrenia (N=35), unipolar depression (N=35) and a control group of 35 healthy controls were examined by measurement of bilateral electrodermal activity (EDA). In non-linear data analysis of the EDA time series in resting state the method of recurrence quantification analysis was applied.
In these patients significant right-left EDA asymmetry and asymmetry of information entropy calculated by non-linear recurrence quantification analysis of EDA records have been found. Similar asymmetry has not been observed in the group of healthy controls.
Because information entropy reflects the complexity of the deterministic structure in the system, then unilaterally increased entropy in patients with schizophrenia and depression likely indicates specific nonlinear disturbances in limbic circuits that modulate EDA. These data are in accordance with recent findings that indicate apparent differences in nonlinear neural patterns in the psychiatric diseases and nonlinear behavior of healthy brain.
近期证据表明,在患有精神分裂症和抑郁症的精神病患者中,会出现与颞叶 - 边缘系统电生理功能障碍相关的侧化皮肤电活动(EDA)变化。这些临床发现为病理状态下大脑不对称以及与大脑整合活动相关的破坏提供了证据。
大脑不对称的这些变化可通过EDA测量的线性分析以及以信息熵计算的大脑复杂性的非线性分析来评估。通过测量双侧皮肤电活动(EDA),对两组已确诊的偏执型精神分裂症患者(N = 35)、单相抑郁症患者(N = 35)以及35名健康对照组成的对照组进行了检查。在静息状态下对EDA时间序列进行非线性数据分析时,应用了递归定量分析方法。
在这些患者中,发现了显著的左右EDA不对称以及通过EDA记录的非线性递归定量分析计算出的信息熵不对称。在健康对照组中未观察到类似的不对称现象。
由于信息熵反映了系统中确定性结构的复杂性,那么精神分裂症和抑郁症患者单侧熵增加可能表明调节EDA的边缘回路存在特定的非线性干扰。这些数据与近期的研究结果一致,即表明精神疾病中的非线性神经模式与健康大脑的非线性行为存在明显差异。