Integrated analysis of geriatric depression: EEG/ERP and MRI studies.

本研究的目的是建立脑电图时间慢波作为老年抑郁症的生物标志物。利用偶极子源模型，发现这种脑电图模式在正常和抑郁受试者中都起源于内侧颞区。在听觉P3研究中，具有这种脑电图模式的正常受试者比没有这种脑电图模式的受试者表现出更长的P3潜伏期，它起源于海马体。一项基于体素的形态学研究没有发现与这种脑电图模式相关的局灶性脑病变。因此，这种脑电图模式可能表明内侧颞区功能障碍，几乎没有形态学异常。老年抑郁症患者的脑电图显示，与正常人相比，左海马体积减少。在这一老年抑郁症亚组中，海马区可能参与抑郁症的发展。

The aim of this study is to establish temporal slow waves on electroencephalography (EEG) as a biomarker for geriatric depression. Using dipole source modeling, this EEG pattern was found to originate from the medial temporal area in both normal and depressed subjects. In an auditory P3 study, normal subjects with this EEG pattern showed a longer P3 latency, which is originated from the hippocampus than subjects without this EEG pattern. A voxel-based morphometry study did not detect focal brain lesions associated with this EEG pattern. Thus, this EEG pattern may indicate dysfunction of the medial temporal region with little morphological abnormalities. Geriatric depressive subjects with this EEG pattern showed a decrease in the left hippocampal volume compared to normal subjects with this EEG pattern. In this subgroup of geriatric depression, the hippocampal region may be involved in developing depression.