Evidence map›Paper›PMID 28287570›Full record

ArticleJournal of visualized experiments : JoVE2017

Investigating Motor Skill Learning Processes with a Robotic Manipulandum.

Susan Leemburg, Maiko Iijima, Olivier Lambercy, Lauriane Nallet-Khosrofian, Roger Gassert, Andreas Luft

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. 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
0.1field-weighted citation impact, top 55% 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, 2 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

6 authors at 2 institutions in 2 countries.

Susan LeemburgDivision of Vascular Neurology and Rehabilitation, Department of Neurology, University Hospital Zurich; susanleemburg@gmail.com.
Maiko IijimaDivision of Vascular Neurology and Rehabilitation, Department of Neurology, University Hospital Zurich.
Olivier LambercyRehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich.
Lauriane Nallet-KhosrofianDivision of Vascular Neurology and Rehabilitation, Department of Neurology, University Hospital Zurich.
Roger GassertRehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich.
Andreas LuftDivision of Vascular Neurology and Rehabilitation, Department of Neurology, University Hospital Zurich; andreas.luft@uzh.ch.
Department of Medical Sciences · BYETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skilled reaching tasks are commonly used in studies of motor skill learning and motor function under healthy and pathological conditions, but can be time-intensive and ambiguous to quantify beyond simple success rates. Here, we describe the training procedure for reach-and-pull tasks with ETH Pattus, a robotic platform for automated forelimb reaching training that records pulling and hand rotation movements in rats. Kinematic quantification of the performed pulling attempts reveals the presence of distinct temporal profiles of movement parameters such as pulling velocity, spatial variability of the pulling trajectory, deviation from midline, as well as pulling success. We show how minor adjustments in the training paradigm result in alterations in these parameters, revealing their relation to task difficulty, general motor function or skilled task execution. Combined with electrophysiological, pharmacological and optogenetic techniques, this paradigm can be used to explore the mechanisms underlying motor learning and memory formation, as well as loss and recovery of function (e.g. after stroke).

Indexed as

Robotic Surgical ProceduresAnimalsBiomechanical PhenomenaForelimbLearningMaleMotor CortexMotor SkillsMovementPsychomotor PerformanceRatsRats, Long-EvansRoboticsStroke

Identifiers

PMID28287570
PMCPMC5407707
OpenAlexW2587212844

What OpenQuestion holds

Textmetadata
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.