Evidence map›Paper›PMID 38155098›Full record

ArticleJournal of motor behavior2024

Visual Information Processing in Older Adults: Force Control and Motor Unit Pool Modulation.

MinHyuk Kwon, Evangelos A Christou

Open access · greenAbstract read
In one paragraph

Article in Journal of motor behavior, 2024. 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, top 82% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

MinHyuk KwonDepartment of Kinesiology and Health Promotion, California State Polytechnic University, Pomona, CA, USA.
Evangelos A ChristouDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
California State Polytechnic University · USUniversity of Florida · US

Funding

Aging and learning of novel fine motor tasksR01AG031769 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTOU, EVANGELOS A · 2008 to 2012
$1.0M
NIA NIH HHS R01 AG031769
6 · The paper itself

Abstract

Increased visual information about a task impairs force control in older adults. To date, however, it remains unclear how increased visual information changes the activation of the motor unit pool differently for young and older adults. Therefore, this study aimed to determine how increased visual information alters the activation of the motor neuron pool and influences force control in older adults. Fifteen older adults (66-86 years, seven women) and fifteen young adults (18-30 years, eight women) conducted a submaximal constant force task (15% of maximum) with ankle dorsiflexion for 20 s. The visual information processing was manipulated by changing the amount of force visual feedback into a low-gain (0.05°) or high-gain (1.2°) condition. Older adults exhibited greater force variability, especially at high-gain visual feedback. This exacerbated force variability from low- to high-gain visual feedback was associated with modulations of multiple motor units, not single motor units. Specifically, increased modulation of multiple motor units from 10 to 35 Hz may contribute to the amplification in force variability. Therefore, our findings suggest evidence that high-gain visual feedback amplifies force variability of older adults which is related to increases in the activation of motor neuron pool from 10 to 35 Hz.

Indexed as

Muscle, SkeletalPsychomotor PerformanceAgedAgingCognitionElectromyographyFeedback, SensoryFemaleHumansIsometric ContractionVisual PerceptionYoung Adultagingforce controlmotor unitsvisual feedback

Identifiers

PMID38155098
PMCPMC11006344
OpenAlexW4390366077

What OpenQuestion holds

Textmetadata
LicenceTDM
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.