Evidence map›Paper›PMID 31497780›Full record

ArticleAdvances in geriatric medicine and research2019

The Aging Brain & the Dorsal Basal Ganglia: Implications for Age-Related Limitations of Mobility.

Brian C Clark, Adam J Woods, Leatha A Clark, Cody R Criss, Reza Shadmehr, Dustin R Grooms

Open access · diamondAbstract read
In one paragraph

Article in Advances in geriatric medicine and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Slowing of Movements in Healthy Aging as a Rational Economic Response to an Elevated Effort Landscape.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  8. Association between neuromelanin-sensitive MRI signal and psychomotor slowing in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. [Correlation between sarcopenia and albuminuria in patients with type 2 diabetes].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
    Article
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  14. Review
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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

6 authors at 3 institutions in 1 country.

Brian C ClarkOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH 45701, USA.
Adam J WoodsCenter for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL 32610, USA.
Leatha A ClarkOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH 45701, USA.
Cody R CrissOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH 45701, USA.
Reza ShadmehrLaboratory for Computational Motor Control, Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MA 21218, USA.
Dustin R GroomsOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH 45701, USA.
Ohio University · USJohns Hopkins University · USUniversity of Florida · US

Funding

BIOMEDICAL ENGINEERING TRAINING PROGRAMT32GM007057 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI KANOLD, PATRICK O, KARCHIN, RACHEL · 1985 to 2023
$10.4M
Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
The multiple components of motor memoryR01NS078311 · NINDS · JOHNS HOPKINS UNIVERSITY · PI SHADMEHR, REZA · 2012 to 2021
$3.8M
Effort, reward and vigor in decision making and movement controlR01NS096083 · NINDS · UNIVERSITY OF COLORADO · PI AHMED, ALAA A. · 2017 to 2021
$2.3M
Neural mechanisms of dynapeniaR01AG044424 · NIA · OHIO UNIVERSITY ATHENS · PI CLARK, BRIAN C · 2014 to 2018
$1.4M
Neuromodulation of Cognition in Older AdultsK01AG050707 · NIA · UNIVERSITY OF FLORIDA · PI WOODS, ADAM J. · 2016 to 2020
$613k
NCATS NIH HHS KL2 TR001429NIA NIH HHS K01 AG050707NIA NIH HHS R01 AG044424NIGMS NIH HHS T32 GM007057NINDS NIH HHS R01 NS078311NINDS NIH HHS R01 NS096083
6 · The paper itself

Abstract

The capacity to move is essential for independence and declines with age. Limitations in mobility impact ~35% of adults over 70 and the majority of adults over 85. These limitations are highly associated with disability, dependency, and survival. More than 25-years ago the term "sarcopenia" was coined to highlight the age-related loss of muscle mass and strength with the assumption being that sarcopenia led to limitations in mobility. However, contrary to expectations, recent findings clearly indicate these variables only modestly explain limitations in mobility. One likely reason the current sarcopenia variables of muscle mass and strength do not discriminate, or predict, mobility limitations well is because they are heavily influenced by musculoskeletal mechanisms and do not incorporate measures reflective of the central neural control of mobility. Unfortunately, the precise central neural changes associated with aging that lead to decreased mobility are poorly understood. This knowledge gap has hampered the development of effective interventions for mobility limitations and the subsequent reduction of major functional disability for older adults. Here, we discuss the potential role of the motor control circuit of the dorsal basal ganglia as well as dopaminergic function in age-related reductions in mobility.

Indexed as

dopaminedynapeniagaitmotor controlneural controlsarcopenia

Identifiers

PMID31497780
PMCPMC6731027
OpenAlexW2972404795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.