• Tianjin University, School of Precision Instrument and Opto-Electronics Engineering, Tianjin 300072, P.R.China;
ZHOU Peng, Email: zpzp@tju.edu.cn
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Normal brain aging and a serious of neurodegenerative diseases may lead to decline in memory, attention and executive ability and poorer quality of life. The mechanism of the decline is not clear now and is still a hot issue in the fields of neuroscience and medicine. A large number of researches showed that resting state functional brain networks based functional magnetic resonance imaging (fMRI) are sensitive and susceptive to the change of cognitive function. In this paper, the researches of brain functional connectivity based on resting fMRI in recent years were compared, and the results of subjects with different levels of cognitive decline including normal brain aging, mild cognitive impairment (MCI) and Alzheimer’s disease (AD) were reviewed. And the changes of brain functional networks under three different levels of cognitive decline are introduced in this paper, which will provide the basis for the detection of normal brain aging and clinical diseases.

Citation: LIU Yanan, CHEN Yuanyuan, SHA Miao, QI Hongzhi, MING Dong, ZHOU Peng. Research progress about different levels of cognitive recession using resting state functional connectivity network methods. Journal of Biomedical Engineering, 2017, 34(4): 632-636. doi: 10.7507/1001-5515.201610031 Copy

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