Evidence map›Paper›PMID 29346370›Full record

ArticlePLoS biology2018

Structure, function, and control of the human musculoskeletal network.

Andrew C Murphy, Sarah F Muldoon, David Baker, Adam Lastowka, Brittany Bennett, Muzhi Yang, Danielle S Bassett

Abstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Chronic Ankle Instability and Low Back Pain: A Narrative Review With a Conceptual Framework Linking Distal and Proximal Sensorimotor Dysfunction.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
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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.

Andrew C MurphyDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Sarah F MuldoonDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
David BakerDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Adam LastowkaHaverford College, Haverford, Pennsylvania, United States of America.
Brittany BennettHaverford College, Haverford, Pennsylvania, United States of America.
Muzhi YangDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Danielle S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-6183-4493

Funding

TRAINING PROGRAM IN BEHAVIORAL/COGNITIVE NEUROSCIENCET32MH017168 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI KABLE, JOSEPH W · 1985 to 2018
$4.2M
NIMH NIH HHS T32 MH017168
6 · The paper itself

Abstract

The human body is a complex organism, the gross mechanical properties of which are enabled by an interconnected musculoskeletal network controlled by the nervous system. The nature of musculoskeletal interconnection facilitates stability, voluntary movement, and robustness to injury. However, a fundamental understanding of this network and its control by neural systems has remained elusive. Here we address this gap in knowledge by utilizing medical databases and mathematical modeling to reveal the organizational structure, predicted function, and neural control of the musculoskeletal system. We constructed a highly simplified whole-body musculoskeletal network in which single muscles connect to multiple bones via both origin and insertion points. We demonstrated that, using this simplified model, a muscle's role in this network could offer a theoretical prediction of the susceptibility of surrounding components to secondary injury. Finally, we illustrated that sets of muscles cluster into network communities that mimic the organization of control modules in primary motor cortex. This novel formalism for describing interactions between the muscular and skeletal systems serves as a foundation to develop and test therapeutic responses to injury, inspiring future advances in clinical treatments.

Indexed as

Bone and BonesDatabases, FactualGene Regulatory NetworksHumansKnowledgeModels, AnatomicMusclesMusculoskeletal Physiological PhenomenaNerve Net

Identifiers

PMID29346370
PMCPMC5773011

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.