Evidence map›Paper›PMID 35601618›Full record

ArticleFrontiers in aging neuroscience2022

Neural Bases of Age-Related Sensorimotor Slowing in the Upper and Lower Limbs.

Uros Marusic, Manca Peskar, Kevin De Pauw, Nina Omejc, Gorazd Drevensek, Bojan Rojc, Rado Pisot, Voyko Kavcic

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 11 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 7 institutions in 4 countries.

Uros MarusicScience and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia.
Manca PeskarScience and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia.
Kevin De PauwHuman Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Nina OmejcScience and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia.
Gorazd DrevensekFaculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia.
Bojan RojcFaculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia.
Rado PisotScience and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia.
Voyko KavcicInstitute of Gerontology, Wayne State University, Detroit, MI, United States.
Alma Mater Europaea · SIJožef Stefan Institute · SITechnische Universität Berlin · DEUniversity of Ljubljana · SIUniversity of Primorska · SIVrije Universiteit Brussel · BEWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With advanced age, there is a loss of reaction speed that may contribute to an increased risk of tripping and falling. Avoiding falls and injuries requires awareness of the threat, followed by selection and execution of the appropriate motor response. Using event-related potentials (ERPs) and a simple visual reaction task (RT), the goal of our study was to distinguish sensory and motor processing in the upper- and lower-limbs while attempting to uncover the main cause of age-related behavioral slowing. Strength (amplitudes) as well as timing and speed (latencies) of various stages of stimulus- and motor-related processing were analyzed in 48 healthy individuals (young adults,

Indexed as

agingevent-related potential (ERP)finger and foot responsesmotor-related potentialvisual-evoked potential (VEP)

Identifiers

PMID35601618
PMCPMC9119024
OpenAlexW4225412064

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.