CAJ | 학술논문

目的：从非线性动力学分析的角度探讨轻度认知功能障碍（MCI）患者脑电变化的特征。方法选取MCI患者19例，其中非痴呆型血管性认知功能障碍（VCIND）患者10例，遗忘型轻度认知功能障碍（aMCI）患者9例。MCI患者经中文版简易智能状态检查（MMSE）、蒙特利尔认知评估量表（MoCA）、总体衰退量表（GDS）、临床痴呆评定量表（CDR）、Hachinski缺血指数（HIS）、汉密尔顿抑郁量表（HDRS）、日常生活活动能力量表（ADL）评定，在安静状态下采集脑电信号后行非线性分析并与10位年龄匹配的健康老年人（HE）行组间比较；同时，VCIND亚组与aMCI亚组行MCI组内比较。结果MCI组与HE组比较，脑电非线性参数关联维数（D2）、点关联维数（PD2）、复杂度（Cx）平均值减低且差异均有统计学意义（P均<0.05）；aMCI亚组与VCIND亚组比较，脑电非线性参数Cx平均值增高，李亚普诺夫指数（LE）平均值减低且差异均有统计学意义（P均<0.05）。结论脑电非线性分析能够较早客观判断脑功能的改变，对MCI的诊断及亚型的判定有一定的辅助价值。
목적：종비선성동역학분석적각도탐토경도인지공능장애（MCI）환자뇌전변화적특정。방법선취MCI환자19례，기중비치태형혈관성인지공능장애（VCIND）환자10례，유망형경도인지공능장애（aMCI）환자9례。MCI환자경중문판간역지능상태검사（MMSE）、몽특리이인지평고량표（MoCA）、총체쇠퇴량표（GDS）、림상치태평정량표（CDR）、Hachinski결혈지수（HIS）、한밀이돈억욱량표（HDRS）、일상생활활동능역량표（ADL）평정，재안정상태하채집뇌전신호후행비선성분석병여10위년령필배적건강노년인（HE）행조간비교；동시，VCIND아조여aMCI아조행MCI조내비교。결과MCI조여HE조비교，뇌전비선성삼수관련유수（D2）、점관련유수（PD2）、복잡도（Cx）평균치감저차차이균유통계학의의（P균<0.05）；aMCI아조여VCIND아조비교，뇌전비선성삼수Cx평균치증고，리아보낙부지수（LE）평균치감저차차이균유통계학의의（P균<0.05）。결론뇌전비선성분석능구교조객관판단뇌공능적개변，대MCI적진단급아형적판정유일정적보조개치。
Objective To investigate the changes of the EEG in mild cognition impairment (MCI) patients by means of nonlinear analysis. Methods A total of 19 patients with MCI were enrolled in this study which included 10 vascular cognitive impairment not dementia (VCIND) and 9 amnestic mild cognition impairment (aMCI) patients from January 2012 to March 2013. Ten healthy elder persons (HE) were selected as control. Mini-mental state examination (MMSE), Montreal cognitive assessment (MoCA), global deterioration acale (GDS), clinical dementia rating scale (CDR), Hachinski ischemic index (HIS), Hamilton depression rating scale (HDRS), activity of daily living (ADL) were completed and EEG were recorded for nonlinear analysis. The EEG nonlinear parameters were compared among groups (MCI versus HE and aMCI versus VCIND ). Results The mean values of correlation dimension (D2), point wise correlation dimension (PD2) and complexity (Cx) were signifcantly lower (P<0.05) in MCI group than those in HE group;As compared with VCIND subgroup, the mean value of Cx was significantly increased and the mean value of Lyapunov exponent (LE) was significantly lowered in aMCI subgroup (P<0.05) . Conclusion EEG nonlinear analysis might objectively be used to evaluate the brain functional changes and play a role in MCI diagnosis and its subgroup determination.