Evidence map›Paper›PMID 36137126›Full record

ArticlePloS one2022

Using whole-brain diffusion tensor analysis to evaluate white matter structural correlates of delayed visuospatial memory and one-week motor skill retention in nondemented older adults: A preliminary study.

Jennapher Lingo VanGilder, Maurizio Bergamino, Andrew Hooyman, Megan C Fitzhugh, Corianne Rogalsky, Jill C Stewart, Scott C Beeman, Sydney Y Schaefer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 10 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

8 authors at 5 institutions in 1 country.

Jennapher Lingo VanGilderSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States of America.ORCID 0000-0002-4273-6003
Maurizio BergaminoBarrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, Arizona, United States of America.
Andrew HooymanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States of America.ORCID 0000-0002-8705-3759
Megan C FitzhughMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.ORCID 0000-0001-5275-7361
Corianne RogalskyCollege of Health Solutions, Arizona State University, Tempe, Arizona, United States of America.ORCID 0000-0002-0499-9355
Jill C StewartDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina, United States of America.
Scott C BeemanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States of America.
Sydney Y SchaeferSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States of America.
Arizona State University · USBarrow Neurological Institute · USUniversity of South Carolina · USUniversity of Southern California · USUniversity of Utah · US

Funding

Generalization of functional task-specific motor training in older adultsK01AG047926 · NIA · UTAH STATE UNIVERSITY · PI SCHAEFER, SYDNEY YOSHIE · 2015 to 2018
$543k
Using diffusion tensor imaging to identify the structural neural correlates of visuospatial and motor skill learning processesF31AG062057 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LINGO VANGILDER, JENNAPHER · 2018 to 2021
$113k
NIA NIH HHS F31 AG062057NIA NIH HHS K01 AG047926
6 · The paper itself

Abstract

Skill retention is important for motor rehabilitation outcomes. Recent work has demonstrated that delayed visuospatial memory performance may predict motor skill retention in older and neuropathological populations. White matter integrity between parietal and frontal cortices may explain variance in upper-extremity motor learning tasks and visuospatial processes. We performed a whole-brain analysis to determine the white matter correlates of delayed visuospatial memory and one-week motor skill retention in nondemented older adults. We hypothesized that better frontoparietal tract integrity would be positively related to better behavioral performance. Nineteen participants (age>58) completed diffusion-weighted imaging, then a clinical test of delayed visuospatial memory and 50 training trials of an upper-extremity motor task; participants were retested on the motor task one week later. Principal component analysis was used to create a composite score for each participant's behavioral data, i.e. shared variance between delayed visuospatial memory and motor skill retention, which was then entered into a voxel-based regression analysis. Behavioral results demonstrated that participants learned and retained their skill level after a week of no practice, and their delayed visuospatial memory score was positively related to the extent of skill retention. Consistent with previous work, neuroimaging results indicated that regions within bilateral anterior thalamic radiations, corticospinal tracts, and superior longitudinal fasciculi were related to better delayed visuospatial memory and skill retention. Results of this study suggest that the simple act of testing for specific cognitive impairments prior to therapy may identify older adults who will receive little to no benefit from the motor rehabilitation regimen, and that these neural regions may be potential targets for therapeutic intervention.

Indexed as

White MatterAgedBrainDiffusion Tensor ImagingHumansLearningMiddle AgedMotor Skills

Identifiers

PMID36137126
PMCPMC9499308
OpenAlexW4296794109

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.