痴呆
默认模式网络
晚年抑郁症
静息状态功能磁共振成像
神经影像学
认知功能衰退
认知
萧条(经济学)
心理学
精神科
神经科学
医学
疾病
临床心理学
内科学
经济
宏观经济学
作者
Junhyung Kim,Yong‐Ku Kim
出处
期刊:Biomedicines
[MDPI AG]
日期:2021-01-16
卷期号:9 (1): 82-82
被引量:37
标识
DOI:10.3390/biomedicines9010082
摘要
Alzheimer’s disease (AD) is the most common type of dementia, and depression is a risk factor for developing AD. Epidemiological studies provide a clinical correlation between late-life depression (LLD) and AD. Depression patients generally remit with no residual symptoms, but LLD patients demonstrate residual cognitive impairment. Due to the lack of effective treatments, understanding how risk factors affect the course of AD is essential to manage AD. Advances in neuroimaging, including resting-state functional MRI (fMRI), have been used to address neural systems that contribute to clinical symptoms and functional changes across various psychiatric disorders. Resting-state fMRI studies have contributed to understanding each of the two diseases, but the link between LLD and AD has not been fully elucidated. This review focuses on three crucial and well-established networks in AD and LLD and discusses the impacts on cognitive decline, clinical symptoms, and prognosis. Three networks are the (1) default mode network, (2) executive control network, and (3) salience network. The multiple properties emphasized here, relevant for the hypothesis of the linkage between LLD and AD, will be further developed by ongoing future studies.
科研通智能强力驱动
Strongly Powered by AbleSci AI