Evidence map›Paper›PMID 28724784›Full record

ArticleJournal of neurophysiology2017

Representing delayed force feedback as a combination of current and delayed states.

Guy Avraham, Firas Mawase, Amir Karniel, Lior Shmuelof, Opher Donchin, Ferdinando A Mussa-Ivaldi, Ilana Nisky

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 16 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

7 authors at 3 institutions in 2 countries.

Guy AvrahamDepartment of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel; guyavr@post.bgu.ac.il.ORCID 0000-0002-6170-1041
Firas MawaseDepartment of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, Maryland.
Amir KarnielDepartment of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Lior ShmuelofZlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Opher DonchinDepartment of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ferdinando A Mussa-IvaldiNorthwestern University and Rehabilitation Institute of Chicago, Chicago, Illinois.
Ilana NiskyDepartment of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ben-Gurion University of the Negev · ILJohns Hopkins University · USNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To adapt to deterministic force perturbations that depend on the current state of the hand, internal representations are formed to capture the relationships between forces experienced and motion. However, information from multiple modalities travels at different rates, resulting in intermodal delays that require compensation for these internal representations to develop. To understand how these delays are represented by the brain, we presented participants with delayed velocity-dependent force fields, i.e., forces that depend on hand velocity either 70 or 100 ms beforehand. We probed the internal representation of these delayed forces by examining the forces the participants applied to cope with the perturbations. The findings showed that for both delayed forces, the best model of internal representation consisted of a delayed velocity and current position and velocity. We show that participants relied initially on the current state, but with adaptation, the contribution of the delayed representation to adaptation increased. After adaptation, when the participants were asked to make movements with a higher velocity for which they had not previously experienced with the delayed force field, they applied forces that were consistent with current position and velocity as well as delayed velocity representations. This suggests that the sensorimotor system represents delayed force feedback using current and delayed state information and that it uses this representation when generalizing to faster movements.

Indexed as

Feedback, PhysiologicalMovementAdolescentAdultFemaleHandHumansMalePsychomotor PerformanceReaction TimeSensorimotor Cortexadaptationdelayforce fieldmotor primitivesreaching

Identifiers

PMID28724784
PMCPMC5626903
OpenAlexW2737581287

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.