Evidence map›Paper›PMID 29745568›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2017

[Research on the characteristics of the dynamic functional connectivity network related to aging].

Xin Zhao, Xiong Zhang, Weiwei Wang, Ya'nan Liu, Miao Sha, Yuanyuan Chen, Hongyan Ni, Dong Ming

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xin ZhaoCollege of Precision Instrument and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P.R.China.zhaoxin@tju.edu.cn.
Xiong ZhangCollege of Precision Instrument and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P.R.China.
Weiwei WangCollege of Precision Instrument and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P.R.China.
Ya'nan LiuCollege of Precision Instrument and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P.R.China.
Miao ShaCollege of Precision Instrument and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P.R.China.
Yuanyuan ChenCollege of Precision Instrument and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P.R.China.
Hongyan NiDepartment of Radiology, Tianjin First Central Hospital, Tianjin 300192, P.R.China.
Dong MingCollege of Precision Instrument and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, P.R.China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain aging can affect the strength of functional connectivity between brain regions. In recent years, studies have shown that functional connectivity is fluctuant over time, and can reflect more physiological and pathological information. Therefore, in the study resting state functional magnetic resonance imaging (fMRI) data of 32 elderly subjects and 36 younger subjects were selected, and the sliding window technique was used to estimate dynamic functional connectivity network. Then, the dependency of fluctuating energy difference on frequency band was studied using wavelet packet analysis, conducting the linear regression with age at the same time. Results showed that the fluctuating energy in older group was significantly higher than that in the young group in low frequency, and it was significantly lower than that in the young people in high frequency. These results suggested that the dynamic functional connectivity between networks in the elderly exist slow wave phenomenon, which may be related to the decreased reaction rate of the elderly. This article provides new ideas and methods for the research about brain aging, and promotes a theoretical basis for further understanding of the physiological significance of brain dynamic functional connectivity.

Indexed as

brain agingdynamic functional connectivityfunctional magnetic resonance imagingnormalized energywavelet packet analysis

Identifiers

PMID29745568
PMCPMC9935416

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.