Evidence map›Paper›PMID 28381486›Full record

ArticleJournal of neurophysiology2017

Musculoskeletal geometry accounts for apparent extrinsic representation of paw position in dorsal spinocerebellar tract.

Raeed H Chowdhury, Matthew C Tresch, Lee E Miller

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 13 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

3 authors at 1 institution in 1 country.

Raeed H ChowdhuryDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois.ORCID 0000-0002-5934-919X
Matthew C TreschDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois.
Lee E MillerDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois; LM@northwestern.edu.ORCID 0000-0001-8675-7140
Northwestern University · US

Funding

The Neural Control of Internal Joint StateR01NS086973 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI TRESCH, MATTHEW · 2014 to 2018
$1.8M
NINDS NIH HHS R01 NS086973
6 · The paper itself

Abstract

Proprioception, the sense of limb position and motion, arises from individual muscle receptors. An important question is how and where in the neuroaxis our high level "extrinsic" sense of limb movement originates. In the 1990s, a series of papers detailed the properties of neurons in the dorsal spinocerebellar tract (DSCT) of the cat. Despite their direct projections from sensory receptors, it appeared that half of these neurons had consistent, high-level tuning to paw position rather than to joint angles (or muscle lengths). These results suggested that many DSCT neurons compute paw position from lower level sensory information. We examined the contribution of musculoskeletal geometry to this apparent extrinsic representation by simulating a three-joint hindlimb with mono- and biarticular muscles, each providing a muscle spindlelike signal, modulated by the muscle length. We simulated neurons driven by randomly weighted combinations of these signals and moved the paw to different positions under two joint-covariance conditions similar to the original experiments. Our results paralleled those experiments in a number of respects:

Indexed as

Models, NeurologicalAnimalsHindlimbMovementMuscle, SkeletalNeuronsSpinocerebellar Tractsbiomechanicscat hindlimbdorsal spinocerebellar tractproprioceptionsimulation

Identifiers

PMID28381486
PMCPMC5498728
OpenAlexW2604242870

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.