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Brain Function Assessment of EEG in Mild Cognitive Impairment using Timelag Analysis
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- Tanabe Akifumi
- Graduate School of Information Science, University of Hyogo
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- Harachi Kento
- Graduate School of Information Science, University of Hyogo
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- Yamamoto Yusuke
- Graduate School of Information Science, University of Hyogo Department of Medical Engineering, Aino University
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- Muramatsu Ayumi
- Graduate School of Information Science, University of Hyogo
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- Nagahara Hajime
- D3 Center, The University of Osaka
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- Takemura Noriko
- D3 Center, The University of Osaka Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
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- Shimojo Shinji
- Faculty of Software and Information Technology, Aomori University
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- Furihata Daisuke
- D3 Center, The University of Osaka
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- Mizuno-Matsumoto Yuko
- Graduate School of Information Science, University of Hyogo D3 Center, The University of Osaka
Bibliographic Information
- Other Title
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- 軽度認知障害における脳波のtimelag解析による脳機能評価
- ケイド ニンチ ショウガイ ニ オケル ノウハ ノ timelag カイセキ ニ ヨル ノウ キノウ ヒョウカ
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Description
<p>This research aimed to reveal the information process in the brain of the patients who suffered from mild cognitive impairment (MCI) using the power spectra and timelag analysis in electroencephalogram (EEG). The patients with MCI have memory or thinking problems, and are at a great risk of developing Alzheimer's disease or a related dementia. Ten patients with MCI and 13 healthy adults (non-MCI) were examined. The EEGs (122.88 seconds/subject) during a state of relaxation with the eyes closed, were analyzed using the Fourier analysis (power spectrum) and the timelag analysis. The results showed that the mean value of the power spectra in MCI was significantly higher than the mean value in non-MCI in the theta band. The mean value of the absolute timelag values (ATL) in MCI was significantly lower than the mean value in non-MCI in the frontal and left temporal areas. Our findings suggest that the features from EEG of MCI were abstracted in the theta band, and the propagation of information related to memory in brain would becoming fast in MCI.</p>
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 145 (4), 467-473, 2025-04-01
The Institute of Electrical Engineers of Japan