Evidence map›Paper›PMID 29851967›Full record

ArticlePloS one2018

Aging differentially affects online control and offline control in finger force production.

Yang Sun Park, Kyung Koh, Hyun Joon Kwon, Okjin Lee, Jae Kun Shim

Abstract read
In one paragraph

Article in PloS one, 2018. 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
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.

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

5 authors.

Yang Sun ParkThe Department of Physical Education, Hanyang University, Seoul, Republic of Korea.
Kyung KohThe Movement Science Center of Research Institute for Sports Science and Sports Industry, Hanyang University, Seoul, Republic of Korea.
Hyun Joon KwonThe Department of Kinesiology, University of Maryland, College Park, MD, United States of America.
Okjin LeeThe Department of Sports & Leisure Studies, Kwangwoon University, Seoul, Republic of Korea.
Jae Kun ShimThe Department of Kinesiology, University of Maryland, College Park, MD, United States of America.ORCID 0000-0001-8880-4684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human central nervous system (CNS) undergoes neurological changes during the aging process, leading to declines in hand and finger functions. Previous studies have shown that the CNS can independently process multi-finger force control and moment of force control. However, if both force and moment control are simultaneously imposed by motor task constraints, the CNS needs to resolve competing interests of generating negative and positive covariances between fingers, respectively, which causes "conflict of interest or COI". Here, we investigated how aging affects the CNS's abilities to solve COI through a new experimental paradigm. Both elderly and young subjects performed a constant force production task using index and middle fingers under two conditions, multi-finger pressing with no COI and with COI. We found that the elderly increased variance of a virtual finger (VF: an imagined finger producing the same mechanical effect as both fingers together) in time-to-time basis (i.e. online control), while increasing covariance between individual fingers (IF) forces in trial-to-trial basis (i.e. offline control) with COI than no COI. Aging affects the CNS's abilities to solve COI by deteriorating VF actions in online control and IF actions in offline control.

Indexed as

AgedAgingCentral Nervous SystemFemaleFingersHand StrengthHumansMaleOnline SystemsYoung Adult

Identifiers

PMID29851967
PMCPMC5978793

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.