High-sensitivity neuroimaging biomarkers for the identification of amnestic mild cognitive impairment based on resting-state fMRI and a triple network model

Abstract

Many functional magnetic resonance imaging (fMRI) studies have indicated that Granger causality analysis (GCA) is a suitable method for revealing causal effects between brain regions. The purpose of the present study was to identify neuroimaging biomarkers with a high sensitivity to amnestic mild cognitive impairment (aMCI). The resting-state fMRI data of… (More)
DOI: 10.1007/s11682-017-9727-6

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Cite this paper

@article{Yu2017HighsensitivityNB, title={High-sensitivity neuroimaging biomarkers for the identification of amnestic mild cognitive impairment based on resting-state fMRI and a triple network model}, author={Enyan Yu and Zhengluan Liao and Yunfei Tan and Yaju Qiu and Junpeng Zhu and Zhang Han and Jue Wang and Xinwei Wang and Hong Wang and Yan Chen and Qi Zhang and Yumei Li and Dewang Mao and Zhongxiang Ding}, journal={Brain Imaging and Behavior}, year={2017}, pages={1-14} }