天津医药

天津医药 ›› 2018, Vol. 46 ›› Issue (4): 386-390.doi: 10.11958/20180092

• 临床研究 • 上一篇    下一篇

颞叶癫痫共患抑郁的工作记忆障碍theta 振荡特征模式研究

杜雪云，潘立平，任艳苹，宋毅军△   

  1. 基金项目：天津市应用基础与前沿技术研究计划（14JCZDJC35400）；2016年度天津市“131”创新型人才团队培养工程 作者单位：天津医科大学总医院神经内科，天津市神经病学研究所（邮编300052） 作者简介：杜雪云（1992），女，硕士在读，主要从事癫痫和痴呆的临床研究 △通讯作者 E-mail: songyijun2000@126.com
  • 收稿日期:2018-01-17 修回日期:2018-02-26 出版日期:2018-04-15 发布日期:2018-04-15
  • 通讯作者: 杜雪云 E-mail:767700195@qq.com
  • 基金资助:
    天津市应用基础与前沿技术研究计划;2016 年度天津市“131”创新型人才团队培养工程

Patterns of theta oscillation underlying working memory deficits in temporal lobe epilepsy with depression

DU Xue-yun, PAN Li-ping, REN Yan-ping, SONG Yi-jun△   

  1. Department of Neurology, Tianjin Medical University General Hospital, Tianjin Neurological Institute, Tianjin 300052, China △Corresponding Author E-mail: songyijun2000@126.com
  • Received:2018-01-17 Revised:2018-02-26 Published:2018-04-15 Online:2018-04-15

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摘要： 目的 探讨颞叶癫痫（TLE）共患抑郁的工作记忆障碍神经振荡特征模式。方法 研究对象分为TLE组、 TLE共患抑郁组（根据贝克抑郁自评量表-Ⅱ和汉密尔顿抑郁量表-17评分判定）和正常对照组，各10例。采集3组 受试者在视觉工作记忆（WM）任务中的 34 通道脑电信号（EEGs），分析行为学正确率和反应时间；对采集的原始 EEGs进行预处理去除噪声。应用短时傅里叶变换分析预处理后EEGs能量的时频分布，计算各频段能量占总能量的 百分比，选取WM任务相关时段和特征频段。分析3组工作记忆EEGs特征频段的空间分布特征，比较特征通道和特 征脑区能量密度的差异。结果 TLE共患抑郁组和TLE组WM任务正确率与正常对照组相比均降低（P＜0.05）；TLE 共患抑郁组、TLE组和正常对照组的反应时间依次减少（P＜0.05）。在WM延迟期，相比于正常对照组，TLE共患抑 郁组和 TLE 组 34 通道 EEGs theta 频段能量占总能量的百分比均下降（P＜0.01）；TLE 共患抑郁组额区（特别是 Fz） theta频段能量，与正常对照组和TLE组相比均减小（P＜0.01）。结论 TLE和TLE共患抑郁患者均存在工作记忆障 碍，且TLE共患抑郁患者损伤更明显，额区theta振荡缺损是TLE共患抑郁患者工作记忆障碍的潜在神经机制之一。

关键词: 癫痫, 颞叶, 抑郁, 记忆障碍, 脑电描记术, 信号处理, 计算机辅助, theta振荡

Abstract: Objective To investigate the characteristic patterns of neural oscillation of working memory (WM) dysfunction in temporal lobe epilepsy (TLE) with depression. Methods TLE patients were divided into two groups: TLE with depression (n=10) and TLE without depression (n=10), according to the Beck depression inventory Ⅱ (BDI-Ⅱ) and the Hamilton’s Depression Scale (HAMD)-17 score. The matched healthy controls were also included in this study (n=10). The 34-channel EEGs were recorded in three groups of patients while they performed a visual WM task. The reaction time and accuracy were analyzed in there groups. For EEGs analysis, noises were removed from the original EEGs. Short-time Fourier transform (STFT) was used to obtain the time-frequency distribution and the principal frequency band and time period for determined WM. The topographical maps in the principal frequency band and time period were presented, respectively. The power was then compared quantitatively between three groups. Results Compared with controls, the WM task accuracy was decreased in TLE with depression group and TLE without depression group (P＜0.05). The reaction time was decreased in turn in TLE with depression group, TLE without depression group and control group (P＜0.05). In the working memory delay phase, the percent of theta power in the total energy percentage of 34 channel EEGs was significantly lower in TLE with depression group and TLE without depression group than that in control group (P＜0.01). The EEGs spectrum showed that theta power in frontal lobe (especially in Fz channel) was decreased in TLE with depression group compared with that of controls and TLE without depression group (P＜0.05). Conclusion Both TLE patients with and without depression have WM dysfunction. Moreover, the TLE patients with depression are more injured. The absence of theta oscillation in the frontal lobe is one of the potential neural mechanisms for WM dysfunction in TLE patients with depression.

Key words: epilepsy, temporal lobe, depression, memory disorders, electroencephalography, signal processing, computer-assisted, theta oscillation