Oct, 1, 2023

Vol.30 No.2, pp. 84-88


Review

  • Korean Journal of Biological Psychiatry
  • Volume 20(4); 2013
  • Article

Review

Korean Journal of Biological Psychiatry 2013;20(4):119-28. Published online: Apr, 1, 2013

Clinical Implications of EEG and ERP as Biological Markers for Alzheimer's Disease and Mild Cognitive Impairment

  • Chang Gyu Kim, MD1,2;Hyun-Taek Kim, PhD3; and Seung-Hwan Lee, MD1,4;
    1;Clinical Emotion and Cognition Research Laboratory (CEC Lab), Inje University, Goyang, 2;Department of Psychology, Hallym University, Chuncheon, 3;Department of Psychology, Korea University, Seoul, 4;Department of Psychiatry, Inje University Ilsan Paik Hospital, Goyang, Korea
Abstract

Objectives : Memory impairment is a very important mental health issue for elderly and adults. Mild cognitive impairment (MCI) is a prodromal stage of Alzheimer's disease (AD). Early detection of the prodromal stage of patients with AD is an important topic of interest for both mental health clinicians and policy makers.

Methods : Electroencephalograpgy (EEG) has been used as a possible biological marker for patients with MCI, and AD. In this review, we will summarize the clinical implications of EEG and ERP as a biological marker for AD and MCI.

Results : EEG power density, functional coupling, spectral coherence, synchronization, and connectivity were analyzed and proved their clinical efficacy in patients with the prodromal stage of AD. Serial studies on late event-related potentials (ERPs) were also conducted in MCI patients as well as healthy elders. Even though these EEG and ERP studies have some limitations for their design and method, their clinical implications are increasing rapidly.

Conclusion : EEG and ERP can be used as biological markers of AD and MCI. Also they can be used as useful tools for early detection of AD and MCI patients. They are useful and sensitive research tools for AD and MCI patients. However, some problems remain to be solved until they can be practical measures in clinical setting.

Keywords EEG;ERP;Mild cognitive impairment;Alzheimer’s disease;Early detection.