Evidence map›Paper›PMID 26217197›Full record

ReviewFrontiers in systems neuroscience2015

Individual predictors of sensorimotor adaptability.

Rachael D Seidler, Ajitkumar P Mulavara, Jacob J Bloomberg, Brian T Peters

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in systems neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  7. Cognition in zero gravity: Effects of non-terrestrial gravity on human behaviour.Quarterly journal of experimental psychology (2006) · 2023
    Article
  8. Age differences in the functional architecture of the human brain.Cerebral cortex (New York, N.Y. : 1991) · 2022
    Article
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  11. 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

4 authors at 4 institutions in 1 country.

Rachael D SeidlerPsychology, Kinesiology, Neuroscience, Neuromotor Behavior Laboratory, University of Michigan Ann Arbor, MI, USA.
Ajitkumar P MulavaraUniversities Space Research Association Houston, TX, USA ; NASA Johnson Space Center Houston, TX, USA.
Jacob J BloombergNASA Johnson Space Center Houston, TX, USA.
Brian T PetersWyle Science, Technology and Engineering Group Houston, TX, USA.
Johnson Space Center · USUniversities Space Research Association · USUniversity of Michigan–Ann Arbor · USWyle (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are large individual variations in strategies and rates of sensorimotor adaptation to spaceflight. This is seen in both the magnitude of performance disruptions when crewmembers are first exposed to microgravity, and in the rate of re-adaptation when they return to Earth's gravitational environment. Understanding the sources of this variation can lead to a better understanding of the processes underlying adaptation, as well as provide insight into potential routes for facilitating performance of "slow adapters". Here we review the literature on brain, behavioral, and genetic predictors of motor learning, recovery of motor function following neural insult, and sensorimotor adaptation. For example, recent studies have identified specific genetic polymorphisms that are associated with faster adaptation on manual joystick tasks and faster recovery of function following a stroke. Moreover, the extent of recruitment of specific brain regions during learning and adaptation has been shown to be predictive of the magnitude of subsequent learning. We close with suggestions for forward work aimed at identifying predictors of spaceflight adaptation success. Identification of "slow adapters" prior to spaceflight exposure would allow for more targeted preflight training and/or provision of booster training and adaptation adjuncts during spaceflight.

Indexed as

adaptationgeneticsmotor cortexmotor learningpredictors

Identifiers

PMID26217197
PMCPMC4491631
OpenAlexW1585042695

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.