Spontaneous MEG activity of the cerebral cortex during eyes closed and open discriminates Alzheimer\u2019s disease from cognitively normal older adults

Yoshihisa Ikeda,Tetsu Hirosawa,Mitsuru Kikuchi,Kazuo Iwasa,Miharu Samuraki-Yokohama,Mitsuhiro Yoshita,Masahito Yamada,Masafumi Kameya,Kenjiro Ono,Moeko Noguchi-Shinohara

doi:10.1038/s41598-020-66034-5

Yoshihisa Ikeda, Tetsu Hirosawa + Show 8 more

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https://doi.org/10.1038/s41598-020-66034-5

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Journal: Scientific Reports	Publication Date: Jun 4, 2020
Citations: 10	License type: open-access

Affiliation: Kanazawa University, Hokuriku University

Abstract

This study aimed to examine whether magnetoencephalography (MEG) is useful to detect early stage Alzheimer’s disease (AD). We analyzed MEG data from the early stage AD group (n = 20; 6 with mild cognitive impairment due to AD and 14 with AD dementia) and cognitively normal control group (NC, n = 27). MEG was recorded during resting eyes closed (EC) and eyes open (EO), and the following 6 values for each of 5 bands (θ1: 4-6, θ2: 6-8, α1: 8-10, α2: 10-13, β: 13-20 Hz) in the cerebral 68 regions were compared between the groups: (1) absolute power during EC and (2) EO, (3) whole cerebral normalization (WCN) power during EC and (4) EO, (5) difference of the absolute powers between the EC and EO conditions (the EC-EO difference), and (6) WCN value of the EC-EO difference. We found significant differences between the groups in the WCN powers during the EO condition, and the EC-EO differences. Using a Support Vector Machine classifier, a discrimination accuracy of 83% was obtained and an AUC in an ROC analysis was 0.91. This study demonstrates that MEG during resting EC and EO is useful in discriminating between early stage AD and NC.

Highlights

This study aimed to examine whether magnetoencephalography (MEG) is useful to detect early stage Alzheimer’s disease (AD)
This included 6 with mild cognitive impairment (MCI) due to AD and 14 with probable AD dementia; 27 normal control (NC) subjects participated in this study
The clinical data of each subject in the AD group for the diagnosis including Wechsler Memory Scale-Revised (WMS-R)[11] index scores and other examination findings are summarized in the Supplemental Table

Summary

Introduction

This study aimed to examine whether magnetoencephalography (MEG) is useful to detect early stage Alzheimer’s disease (AD). This study demonstrates that MEG during resting EC and EO is useful in discriminating between early stage AD and NC. Of several devices that can measure brain function, MEG has the highest temporal resolution using the millisecond time scale. This makes it possible to measure and quantify periodic neuronal activity for each frequency. For early stage AD and cognitively normal control (NC) subjects, we calculated absolute MEG power values during the EC and EO resting conditions for each frequency band in the whole cerebrum and in

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