Absence Frontal-parietal EEG Network in Theta Band in MCI Patients During High-recall Movie-watching
Poster No:
172
Submission Type:
Abstract Submission
Authors:
Ao Xie1,2, Wei Jian1,2, Yulin He1,2, Haiyang Sun1,2, Yulan Zhou1,2, Hua Ren1,2, Zihao Zheng1,3, Ziqi Wang1,2, Li Dong*1,2, Dezhong Yao1,2
Institutions:
1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China, 2School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China, Chengdu, China, 3School of Life Science and Technology, Center for information in medicine, University of Electronic, Chengdu, China
First Author:
Ao Xie
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Co-Author(s):
Wei Jian
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Yulin He
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Haiyang Sun
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Yulan Zhou
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Hua Ren
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Zihao Zheng
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Ziqi Wang
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Li Dong*
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Dezhong Yao
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation|School of Life Science and Technology, Center for information in medicine, University of Electronic Science and Technology of China
University of Electronic Science and Technology of China, Chengdu, China|Chengdu, China
Introduction:
Alzheimer's disease (AD) is a neurodegenerative disease that is prevalent in aging people and is characterized by abnormalities in cognition and memory. Mild cognitive impairment (MCI) is a precursor to the progression of AD (Dubois, Feldman et al. 2007). And, cognitive and memory performance has been found to be related to functional connectivity during resting state (Eyler, Sherzai et al. 2011, Grady 2012, Sala-Llonch, Bartres-Faz et al. 2015). However, little is known about how cognitive impairment disease such as MCI affects the brain memory functions during high-recall movie-watching which may offer rich and complex stimulation closely relative to memory function. The purpose of the current work was to investigate potential changes in functional connectivity relative to memory function in MCI patients using electroencephalogram (EEG) during high-recall movie-watching state.
Methods:
In this study, EEG data of 41 normal control (NC) individuals and 31 patients with MCI were recorded during the movie-watching state. Each EEG recording consisted of 2 conditions (high-recall vs low-recall movie-watching), and each condition lasted 5 minutes. The high-recall movie is a black and white film containing everyday life in the 1970s-80s, while the low-recall movie is a scenery film. Both movies were assessed by recruited normal elders who were not recorded. Preprocessing of raw EEG data (including identifying and removing segments of EEG contaminating excessive noise, a band-pass filtering at 1-40 Hz, inspecting for artifacts automatically and removing eye blinks and muscle movements using Independent Component Analysis (ICA), interpolating bad channels using reference electrode standardization interpolation technique (RESIT) and re-referencing to REST) was conducted using the WeBrain Platform (http://webrain.uestc.edu.cn). The functional connectivity coefficients between each pair of EEG channels were estimated with the phase synchronization index (PSI). Each analysis was performed separately in typical EEG frequency bands (delta: 1-4 Hz, theta: 4-8 Hz, alpha: 8-12.5 Hz, beta: 12.5-30 Hz, gamma: 30-40 Hz). Next, a two-way mixed (2 groups×2 conditions) analysis of variance (ANOVA), and a post-hoc t-test were used to investigate potential changes of the interaction factor. At last Pearson correlations between connectivities and neuropsychological measures were also calculated across all subjects.
Results:
Results of ANOVA and the post-hoc t-test showed significant differences between conditions for the NC group but not the MCI group, especially in the theta rhythm (Fig. 1 B, p<0.05, FDR corrected). Those differences were mainly located in the frontal-parietal network of NC group, indicating that connectivity is stronger in the presence of high-recall movie-watching than in the low-recall conditions (Fig. 1 A). Fig. 1 C showed that changes of PSI measures between high-recall and low-recall movies were significantly positively correlated to neuropsychological measures including Montreal Cognitive Assessment （MoCA, r=0.4206, p=0.0002）, Boston Naming Test (BNT, r=0.3093, p=0.0082) and Minimum Mental State Examination (MMSE, r=0.2804, p=0.0170).
Conclusions:
The results of the current study demonstrated that absence frontal-parietal EEG network in theta band in MCI patients during high-recall movie-watching state, compared with NC group. Moreover, the correlations with neuropsychological measures suggested that worse cognitive performance might be related to the lower frontal-parietal network in the theta band in MCI patients. Our findings may imply that there was a potential mechanism relative to the absence of key 'memory circuits' in MCI, and may provide new insight towards cognitive rehabilitation during the aging process.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Learning and Memory:
Long-Term Memory (Episodic and Semantic) 2
Keywords:
Electroencephaolography (EEG)
Other - Mild Cognitive Impairment; Movie-watching; EEG Network; Episodic Memory
1|2Indicates the priority used for review
Provide references using author date format
Eyler, L. T., A. Sherzai, A. R. Kaup and D. V. Jeste (2011), 'A Review of Functional Brain Imaging Correlates of Successful Cognitive Aging', BIOLOGICAL PSYCHIATRY, vol. 70, no. 2, pp. 115-122.
Grady, C. (2012), 'BRAIN AGEING The cognitive neuroscience of ageing', NATURE REVIEWS NEUROSCIENCE, vol. 13, no. 7, pp. 491-505.
Sala-Llonch, R., D. Bartres-Faz and C. Junque (2015), 'Reorganization of brain networks in aging: a review of functional connectivity studies', FRONTIERS IN PSYCHOLOGY, vol. 6.