musculoskeletal — Human musculoskeletal network (2018)

Description

Bipartite networks of the muscles and bones of the human body, from A. C. Murphy, D. S. Bassett and collaborators. Nodes are muscles and bones (some of which are actually ligaments or tendons), and an undirected edge connects a muscle to a bone on which it has an origin or insertion point, i.e., to which it attaches. There are two networks, with the same 270 muscles:

hosford: compiled from the Hosford Muscle Tables (173 bones), used in the main text of the paper.
grant: compiled from Grant's Atlas of Anatomy (173 bones, in a slightly different list), used in the supplementary text. In this network, 20 nodes have no connections.

The nodes have the following properties:

name: the name of the muscle or bone.
is_muscle: whether the node is a muscle (otherwise it is a bone).
community: (muscles only, -1 for bones) the community of the muscle (1 to 22), found by the authors by modularity maximization (consensus of 100 runs, with resolution parameter 4.3) on the muscle-muscle network of the hosford data, in which two muscles are connected if they attach to the same bone.
homunculus_category: (muscles only, -1 for bones) the category of the motor homunculus (the map of the body in the primary motor cortex, following Penfield) to which the muscle was assigned (1 to 22), and homunculus_region: the name of this category (e.g. "Toes", "Knee", "Shoulder", "Jaw", "Swallowing").

Tags

Biological Unweighted Metadata

Citation

A. C. Murphy, S. F. Muldoon, D. Baker, A. Lastowka, B. Bennett, M. Yang, D. S. Bassett, "Structure, function, and control of the human musculoskeletal network." PLoS Biology 16(1), e2002811 (2018) 10.1371/journal.pbio.2002811 Sci-Hub
A. C. Murphy, S. F. Muldoon, D. Baker, A. Lastowka, B. Bennett, M. Yang, D. S. Bassett, "Structure, function, and control of the musculoskeletal network - Data." Zenodo (2017) 10.5281/zenodo.1069104 Sci-Hub

Upstream URL OK

https://doi.org/10.5281/zenodo.1069104

Upstream license

Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), https://creativecommons.org/licenses/by-sa/4.0/

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
hosford	443	1,010	4.56	4.43	10.21	198.17	0.07	0.00	22	1.00	Undirected	Bipartite	name is_muscle community homunculus_category homunculus_region		5 KiB	8 KiB	7 KiB	7 KiB
grant	443	953	4.30	4.51	9.94	198.48	-0.01	0.00	20	0.94	Undirected	Bipartite	name is_muscle community homunculus_category homunculus_region		5 KiB	7 KiB	7 KiB	7 KiB