Evidence map›Paper›PMID 37189768›Full record

ArticleBiomedicines2023

Age-Related Modifications of Electroencephalogram Coherence in Mice Models of Alzheimer's Disease and Amyotrophic Lateral Sclerosis.

Vasily Vorobyov, Alexander Deev, Kirill Chaprov, Aleksey A Ustyugov, Ekaterina Lysikova

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Vasily VorobyovSchool of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK.ORCID 0000-0002-7716-2580
Alexander DeevInstitute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, 142290 Pushchino, Russia.
Kirill ChaprovSchool of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK.ORCID 0000-0002-0258-1879
Aleksey A UstyugovInstitute of Physiologically Active Compounds, Russian Academy of Sciences, 142432 Chernogolovka, Russia.ORCID 0000-0003-1977-4797
Ekaterina LysikovaSchool of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK.
Institute of Physiologically Active Compounds · RUBelgorod National Research University · RUInstitute of Cell Biophysics · RUInstitute of Theoretical and Experimental Biophysics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evident similarities in pathological features in aging and Alzheimer's disease (AD) raise the question of a role for natural age-related adaptive mechanisms in the prevention/elimination of disturbances in interrelations between different brain areas. In our previous electroencephalogram (EEG) studies on 5xFAD- and FUS-transgenic mice, as models of AD and amyotrophic lateral sclerosis (ALS), this suggestion was indirectly confirmed. In the current study, age-related changes in direct EEG synchrony/coherence between the brain structures were evaluated.

methodsIn 5xFAD mice of 6-, 9-, 12-, and 18-month ages and their wild-type (WT

resultsIn the 5xFAD mice, suppressed levels of inter-structural coherence vs. those in WT

conclusionNeurodegenerative pathologies are accompanied by the significant attenuation of intracerebral EEG coherence. Our data are supportive for the involvement of age-related adaptive mechanisms in intracerebral disturbances produced by neurodegeneration.

Indexed as

5xFAD miceagingcoherencecortexelectroencephalogramFUS micehippocampusputamensubstantia nigraventral tegmental area

Identifiers

PMID37189768
PMCPMC10136324
OpenAlexW4365141962

What OpenQuestion holds

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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.