Evidence map›Paper›PMID 29522156›Full record

ArticleBrain : a journal of neurology2018

Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer's disease.

Akinori Nakamura, Pablo Cuesta, Alberto Fernández, Yutaka Arahata, Kaori Iwata, Izumi Kuratsubo, Masahiko Bundo, Hideyuki Hattori, Takashi Sakurai, Koji Fukuda and 8 more

Open access · greenAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 3 pooled it
6.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 3 syntheses or guidelines pooled it, 155 citations in OpenAlex.

  1. Tracking electrophysiological signatures of Alzheimer's disease: a systematic review of multimodal studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 3 countries.

Akinori NakamuraDepartment of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Pablo CuestaDepartment of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Alberto FernándezLaboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Madrid, 28223, Spain.
Yutaka ArahataNational Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Kaori IwataDepartment of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Izumi KuratsuboInnovation Center for Clinical Research, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Masahiko BundoDepartment of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Hideyuki HattoriNational Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Takashi SakuraiNational Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Koji FukudaNational Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Yukihiko WashimiNational Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Hidetoshi EndoNational Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Akinori TakedaNational Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Kersten DiersDepartment of Psychology, Technische Universität Dresden, Dresden, 01069, Germany.
Ricardo BajoLaboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Madrid, 28223, Spain.
Fernando MaestúLaboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Madrid, 28223, Spain.
Kengo ItoDepartment of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
Takashi KatoDepartment of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.
National Center for Geriatrics and Gerontology · JPUniversidad Complutense de Madrid · ESTechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers useful for the predementia stages of Alzheimer's disease are needed. Electroencephalography and magnetoencephalography (MEG) are expected to provide potential biomarker candidates for evaluating the predementia stages of Alzheimer's disease. However, the physiological relevance of EEG/MEG signal changes and their role in pathophysiological processes such as amyloid-β deposition and neurodegeneration need to be elucidated. We evaluated 28 individuals with mild cognitive impairment and 38 cognitively normal individuals, all of whom were further classified into amyloid-β-positive mild cognitive impairment (n = 17, mean age 74.7 ± 5.4 years, nine males), amyloid-β-negative mild cognitive impairment (n = 11, mean age 73.8 ± 8.8 years, eight males), amyloid-β-positive cognitively normal (n = 13, mean age 71.8 ± 4.4 years, seven males), and amyloid-β-negative cognitively normal (n = 25, mean age 72.5 ± 3.4 years, 11 males) individuals using Pittsburgh compound B-PET. We measured resting state MEG for 5 min with the eyes closed, and investigated regional spectral patterns of MEG signals using atlas-based region of interest analysis. Then, the relevance of the regional spectral patterns and their associations with pathophysiological backgrounds were analysed by integrating information from Pittsburgh compound B-PET, fluorodeoxyglucose-PET, structural MRI, and cognitive tests. The results demonstrated that regional spectral patterns of resting state activity could be separated into several types of MEG signatures as follows: (i) the effects of amyloid-β deposition were expressed as the alpha band power augmentation in medial frontal areas; (ii) the delta band power increase in the same region was associated with disease progression within the Alzheimer's disease continuum and was correlated with entorhinal atrophy and an Alzheimer's disease-like regional decrease in glucose metabolism; and (iii) the global theta power augmentation, which was previously considered to be an Alzheimer's disease-related EEG/MEG signature, was associated with general cognitive decline and hippocampal atrophy, but was not specific to Alzheimer's disease because these changes could be observed in the absence of amyloid-β deposition. The results suggest that these MEG signatures may be useful as unique biomarkers for the predementia stages of Alzheimer's disease.

Indexed as

Brain MappingProdromal SymptomsAgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesAnalysis of VarianceAniline CompoundsBrainCognitive DysfunctionDisease ProgressionFemaleHumansMagnetic Resonance ImagingMagnetoencephalographyMale2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazoleAmyloid beta-PeptidesAniline CompoundsThiazoles

Identifiers

PMID29522156
PMCPMC5920328
OpenAlexW2790598060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.