Evidence map›Paper›PMID 31771066›Full record

ArticleJournal of Alzheimer's disease : JAD2020

Metabolic Network Topology of Alzheimer's Disease and Dementia with Lewy Bodies Generated Using Fluorodeoxyglucose Positron Emission Tomography.

Masamichi Imai, Mika Tanaka, Muneyuki Sakata, Kei Wagatsuma, Tetsuro Tago, Jun Toyohara, Renpei Sengoku, Yuji Nishina, Kazutomi Kanemaru, Kenji Ishibashi and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. (Dis-)Connected Dots in Dementia with Lewy Bodies-A Systematic Review of Connectivity Studies.Movement disorders : official journal of the Movement Disorder Society · 2023
    Pooled it
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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

12 authors at 1 institution in 1 country.

Masamichi ImaiTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Mika TanakaTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Muneyuki SakataTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Kei WagatsumaTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Tetsuro TagoTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Jun ToyoharaTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Renpei SengokuDepartment of Neurology, Tokyo Metropolitan Geriatric Hosptal and Institute of Gerontology, Tokyo, Japan.
Yuji NishinaDepartment of Neurology, Tokyo Metropolitan Geriatric Hosptal and Institute of Gerontology, Tokyo, Japan.
Kazutomi KanemaruDepartment of Neurology, Tokyo Metropolitan Geriatric Hosptal and Institute of Gerontology, Tokyo, Japan.
Kenji IshibashiTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Shigeo MurayamaDepartment of Neurology, Tokyo Metropolitan Geriatric Hosptal and Institute of Gerontology, Tokyo, Japan.
Kenji IshiiTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Tokyo Metropolitan Institute of Gerontology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) and dementia with Lewy bodies (DLB) are often misdiagnosed with each other because of similar symptoms including progressive memory loss. The metabolic network topology that describes inter-regional metabolic connections can be generated using fluorodeoxyglucose positron emission tomography (FDG-PET) data with the graph-theoretical method. We hypothesized that different metabolic connectivity underlies the symptoms of AD patients, DLB patients, and cognitively normal (CN) individuals.

objectiveThis study aimed to generate metabolic connectivity using FDG-PET data and assess the network topology to differentiate AD patients, DLB patients, and CN individuals.

methodsThis study included 45 AD patients, 18 DLB patients, and 142 CN controls. We analyzed FDG-PET data using the graph-theoretical method and generated the network topology in AD patients, DLB patients, and CN individuals. We statistically assessed the topology with global and nodal parameters.

resultsThe whole metabolic network was preserved in CN; however, diffusely decreased connection was found in AD and partially but more deeply decreased connection was observed in DLB. The metabolic topology revealed that the right posterior cingulate and the left transverse temporal gyrus were significantly different between AD and DLB.

conclusionThe present findings indicate that metabolic connectivity decreased in both AD and DLB, compared with CN. DLB was characterized restricted but deeper stereotyped network disruption compared with AD. The right posterior cingulate and the left transverse temporal gyrus are significant regions in the metabolic connectivity for differentiating AD from DLB.

Indexed as

Metabolic Networks and PathwaysAgedAged, 80 and overAlzheimer DiseaseBiomarkersBrain MappingFemaleFluorodeoxyglucose F18Gyrus CinguliHumansLewy Body DiseaseMaleMiddle AgedPositron-Emission TomographyRadiopharmaceuticalsReference ValuesBiomarkersFluorodeoxyglucose F18RadiopharmaceuticalsAlzheimer’s diseasedementia with Lewy bodiesfluorodeoxyglucosegraph theorynetwork analysisneuroimaging biomarkerspositron emission tomography

Identifiers

PMID31771066
PMCPMC7029362
OpenAlexW2991654683

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.