Evidence map›Paper›PMID 31504270›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Epigenetic Markers of Aging Predict the Neural Oscillations Serving Selective Attention.

Alex I Wiesman, Michael T Rezich, Jennifer O'Neill, Brenda Morsey, Tina Wang, Trey Ideker, Susan Swindells, Howard S Fox, Tony W Wilson

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-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

17 citing papers in PubMed, 21 citations in OpenAlex.

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  16. The aging transcriptome: read between the lines.Current opinion in neurobiology · 2020
    Review
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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

9 authors at 2 institutions in 1 country.

Alex I WiesmanDepartment of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE 68198-8440, USA.
Michael T RezichCenter for Magnetoencephalography, UNMC, Omaha, NE 68198-8440, USA.
Jennifer O'NeillDepartment of Internal Medicine, Division of Infectious Diseases, UNMC, Omaha, NE 68198-8440, USA.
Brenda MorseyDepartment of Pharmacology and Experimental Neuroscience, UNMC, Omaha, NE 68198-8440, USA.
Tina WangDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Trey IdekerDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Susan SwindellsDepartment of Internal Medicine, Division of Infectious Diseases, UNMC, Omaha, NE 68198-8440, USA.
Howard S FoxDepartment of Pharmacology and Experimental Neuroscience, UNMC, Omaha, NE 68198-8440, USA.
Tony W WilsonDepartment of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE 68198-8440, USA.
University of California San Diego · USUniversity of Nebraska Medical Center · US

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BUCH, SHILPA J., FOX, HOWARD S · 2000 to 2021
$37.7M
Translational Imaging and Behavioral Assessment (TIBA) CoreP20GM130447 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Haiying Shen · 2020 to 2026
$20.7M
A Systems Approach to Mapping the DNA Damage ResponseR01ES014811 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2005 to 2021
$8.6M
MULTIMODAL IMAGING OF NEUROHIV DYNAMICS (MIND): AN OMAHA-PITTSBURGH CONSORTIUMR01MH118013 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2018 to 2022
$4.9M
THE PROGRESSIVE ELEVATION OF SPONTANEOUS CORTICAL ACTIVITY IN HAND (PESCAH) PROJECTR01MH116782 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2018 to 2022
$3.4M
Neurophysiological markers of HAND and the impact of aging: Evidence from MEGR01MH103220 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2014 to 2018
$2.5M
Oscillatory markers of cognitive deficits in patients with Alzheimer's diseaseF31AG055332 · NIA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WIESMAN, ALEX I · 2017 to 2019
$119k
NIA NIH HHS F31 AG055332NIEHS NIH HHS R01 ES014811NIGMS NIH HHS P20 GM130447NIMH NIH HHS P30 MH062261NIMH NIH HHS R01 MH103220NIMH NIH HHS R01 MH116782NIMH NIH HHS R01 MH118013
6 · The paper itself

Abstract

Chronological age remains an imperfect measure of accumulated physiological stress. Biological measures of aging may provide key advantages, allowing scientists focusing on age-related functional changes to use metrics derived from epigenetic factors like DNA methylation (DNAm), which could provide greater precision. Here we investigated the relationship between methylation-based age and an essential cognitive function that is known to exhibit age-related decline: selective attention. We found that DNAm-age predicted selective attention abilities and fully mediated the relationship between selective attention and chronological age. Using neuroimaging with magnetoencephalography, we found that gamma activity in the anterior cingulate was robustly predicted by DNAm-derived biological age, revealing the neural dynamics underlying this DNAm age-related cognitive decline. Anterior cingulate gamma activity also significantly predicted behavior on the selective attention task, indicating its functional relevance. These findings suggest that DNAm age may be a better predictor of cognitive and brain aging than more traditional chronological metrics.

Indexed as

DNA MethylationEpigenesis, GeneticGamma RhythmAdultAgedAgingAttentionBrainFemaleGyrus CinguliHumansMagnetoencephalographyMaleMiddle AgedNeuropsychological TestsYoung Adultbiological agegamma oscillationsmagnetoencephalographymethylation

Identifiers

PMID31504270
PMCPMC7132912
OpenAlexW2971619662

What OpenQuestion holds

Textmetadata
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.