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.
journal_name
PLoS Bioljournal_title
PLoS biologyauthors
Murphy AC,Muldoon SF,Baker D,Lastowka A,Bennett B,Yang M,Bassett DSdoi
10.1371/journal.pbio.2002811subject
Has Abstractpub_date
2018-01-18 00:00:00pages
e2002811issue
1eissn
1544-9173issn
1545-7885pii
pbio.2002811journal_volume
16pub_type
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