Evidence map›Paper›PMID 34650147›Full record

ArticleScientific reports2021

Influence of PICALM and CLU risk variants on beta EEG activity in Alzheimer's disease patients.

Aarón Maturana-Candelas, Carlos Gómez, Jesús Poza, Víctor Rodríguez-González, Vìctor Gutiérrez-de Pablo, Alexandra M Lopes, Nadia Pinto, Roberto Hornero

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. Review
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

8 authors at 3 institutions in 2 countries.

Aarón Maturana-CandelasBiomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011, Valladolid, Spain. aaron.maturana@gib.tel.uva.es.
Carlos GómezBiomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011, Valladolid, Spain.
Jesús PozaBiomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011, Valladolid, Spain.
Víctor Rodríguez-GonzálezBiomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011, Valladolid, Spain.
Vìctor Gutiérrez-de PabloBiomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011, Valladolid, Spain.
Alexandra M LopesInstituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, Portugal.
Nadia PintoInstituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, Portugal.
Roberto HorneroBiomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011, Valladolid, Spain.
Universidad de Valladolid · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PICALM and CLU genes have been linked to alterations in brain biochemical processes that may have an impact on Alzheimer's disease (AD) development and neurophysiological dynamics. The aim of this study is to analyze the relationship between the electroencephalographic (EEG) activity and the PICALM and CLU alleles described as conferring risk or protective effects on AD patients and healthy controls. For this purpose, EEG activity was acquired from: 18 AD patients and 12 controls carrying risk alleles of both PICALM and CLU genes, and 35 AD patients and 12 controls carrying both protective alleles. Relative power (RP) in the conventional EEG frequency bands (delta, theta, alpha, beta, and gamma) was computed to quantify the brain activity at source level. In addition, spatial entropy (SE) was calculated in each band to characterize the regional distribution of the RP values throughout the brain. Statistically significant differences in global RP and SE at beta band (p-values < 0.05, Mann-Whitney U-test) were found between genotypes in the AD group. Furthermore, RP showed statistically significant differences in 58 cortical regions out of the 68 analyzed in AD. No statistically significant differences were found in the control group at any frequency band. Our results suggest that PICALM and CLU AD-inducing genotypes are involved in physiological processes related to disruption in beta power, which may be associated with physiological disturbances such as alterations in beta-amyloid and neurotransmitter metabolism.

Indexed as

ElectroencephalographyAgedAged, 80 and overAlzheimer DiseaseBrainClusterinFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMonomeric Clathrin Assembly ProteinsCLU protein, humanClusterinMonomeric Clathrin Assembly ProteinsPICALM protein, human

Identifiers

PMID34650147
PMCPMC8516883
OpenAlexW3207311564

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.