Evidence map›Paper›PMID 36398659›Full record

ReviewBiological research for nursing2023

Integrating Neuroimaging Measures in Nursing Research.

Karl Cristie F Figuracion, Hilaire Thompson, Christine L Mac Donald

Open access · greenAbstract readReview
In one paragraph

Review in Biological research for nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

Karl Cristie F FiguracionDepartment of School of Nursing, University of Washington, Seattle, WA, USA.ORCID 0000-0003-1360-5749
Hilaire ThompsonBiobehavioral Nursing & Health Informatics, University of Washington, Seattle, WA, USA.ORCID 0000-0002-5472-478X
Christine L Mac DonaldDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
University of Washington · US

Funding

NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
Omics and Symptom Science Training ProgramT32NR016913 · NINR · UNIVERSITY OF WASHINGTON · PI CYNTHIA M DOUGHERTY, Margaret McLean Heitkemper · 2017 to 2026
$3.2M
NCATS NIH HHS TL1 TR002318NINR NIH HHS T32 NR016913
6 · The paper itself

Abstract

backgroundMedical and scientific advancement worldwide has led to a longer lifespan. With the population aging comes the risk of developing cognitive decline. The incorporation of neuroimaging measures in evaluating cognitive changes is limited in nursing research. The aim of this review is to introduce nurse scientists to neuroimaging measures employed to assess the association between brain and cognitive changes.

methodsRelevant literature was identified by searching CINAHL, Web of Science, and PubMed databases using the following keywords: "neuroimaging measures," "aging," "cognition," "qualitative scoring," "cognitive ability," "molecular," "structural," and "functional."

resultsNeuroimaging measures can be categorized into structural, functional, and molecular imaging approaches. The structural imaging technique visualizes the anatomical regions of the brain. Visual examination and volumetric segmentation of select structural sequences extract information such as white matter hyperintensities and cerebral atrophy. Functional imaging techniques evaluate brain regions and underlying processes using blood-oxygen-dependent signals. Molecular imaging technique is the real-time visualization of biological processes at the cellular and molecular levels in a given region. Examples of biological measures associated with neurodegeneration include decreased glutamine level, elevated total choline, and elevated Myo-inositol. DISCUSSION: Nursing is at the forefront of addressing upstream factors impacting health outcomes across a lifespan of a population at increased risk of progressive cognitive decline. Nurse researchers can become more facile in using these measures both in qualitative and quantitative methodology by leveraging previously gathered neuroimaging clinical data for research purposes to better characterize the associations between symptom progression, disease risk, and health outcomes.

Indexed as

BrainCognitive DysfunctionNeuroimagingCognitionHumansNursing Research“neuroimaging measures,” “nursing research,” “cognition,” and “health outcomes.”

Identifiers

PMID36398659
PMCPMC10404904
OpenAlexW4309360747

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.