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| Complex Networks Analysis of the Elderly People with Mild Cognitive Impairment by Nonlinear Interdependence of EEG |
| Yan Yan1, Xiao Shasha1, Liu Meng2, Li Yunxia2*, Li Yingjie3,4* |
1(Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China)
2(Department of Neurology, Tongji Hospital of Tongji University, Shanghai 200065, China)
3(College of International Education, Shanghai University, Shanghai 200444, China)
4(School of Life Science, Shanghai University, Shanghai 200444, China) |
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Abstract The aim of this study was to preliminarily investigate brain functional networks of the elderly with mild cognitive impairment (MCI) and the normal elderly during emotion regulation. Fourteen MCI patients and eighteen healthy subjects participated in this experiment. The scalp electroencephalography (EEG) was recorded whenthe subjects performed the cognitive reappraisal task, including neutral/negative viewing task and negative reappraisal task. We applied nonlinear interdependence in different EEG bands to measure the connectivity between brain regions. Then the nonlinear interdependence index was used to construct the brain functional networks of subjects in both groups. The global efficiency and average local efficiency were used to analyze the efficiency of information transmission among brain regions. The result showed that the nonlinear interdependence index of EEG theta activity (F=6.805,P=0.014,η2=0.185) in MCI patients were significantly lower than that in the control group, as well as of alpha band under negative viewing task (t=2.437,P=0.021, Cohen's d=0.865). Under some specific thresholds (threshold was 0.070 in low gamma band, threshold was 0.075 in theta band, threshold were 0.115 and 0.125 in alpha band), the network efficiency of MCI patients was significantly lower than that in the control group. In addition, the reappraisal effect (F=5.549,P=0.008, η2=0.246) was found in the control group (threshold was 0.115), showing that the global efficiency of EEG alpha activity(P=0.018) under the negative viewing condition(0.713±0.042) in controls was higher than that under the condition of negative reappraisal(0.699±0.045). However, similar reappraisal effect was not found in MCI patients. We therefore concluded that MCI patients had the deficit in brain network during emotion regulation, which was manifested in low efficiency of brain information transmission. In addition, no significant Pearson's correlation was found between nonlinear interdependence, network efficiency and behavioral scores, cognitive scores. More research of nonlinear correlation is necessary in order to find more stable brain network features with MCI in emotion regulation.
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Received: 30 December 2020
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