Evidence map›Paper›PMID 36908891›Full record

ArticleAging brain2022

Influence of endogenous estrogen on a network model of female brain integrity.

Janelle T Foret, Marie Caillaud, Drew D Gourley, Maria Dekhtyar, Hirofumi Tanaka, Andreana P Haley

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging brain, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Janelle T ForetDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.
Marie CaillaudDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.
Drew D GourleyDepartment of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, USA.
Maria DekhtyarDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.
Hirofumi TanakaDepartment of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, USA.
Andreana P HaleyDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.

Funding

Neuroimaging Cognitive Vulnerability in HypertensionR01NS075565 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI HALEY, ANDREANA PETROVA · 2011 to 2013
$986k
Cognitive Enhancement Through Transcranial Laser TherapyR21AG050898 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI HALEY, ANDREANA PETROVA · 2016 to 2017
$426k
NIA NIH HHS R21 AG050898NINDS NIH HHS R01 NS075565
6 · The paper itself

Abstract

Recent reports document sex differences in midlife brain integrity and metabolic health, such that more relationships are detectable between metabolic syndrome (MetS) components and markers of brain health in females than in males. Midlife is characterized by a rapid decrease in endogenous estrogen levels for women which is thought to increase risk for cardiometabolic disease and neurocognitive decline. Our study used network models, designed to explore the interconnectedness and organization of relationships among many variables at once, to compare the influence of endogenous estrogen and chronological age on a network of brain and metabolic health in order to investigate the utility of estrogen as a biomarker for brain vulnerability. Data were analyzed from 82 females (ages 40-62). Networks consisted of known biomarkers of risk for late-life cognitive decline: the five components of MetS; Brain-predicted age difference calculated on gray and white matter volume; white matter hyperintensities; Default Mode Network functional connectivity; cerebral concentrations of

Indexed as

AgingEstrogenFunctional neuroimagingMetabolic syndromeNetwork modelStructural neuroimaging

Identifiers

PMID36908891
PMCPMC9997143

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.