A validated method for modeling anthropoid hip abduction in silico

Bibliographic Data

ID8315348
AuthorsAshley S Hammond (0000-0001-8444-0553, Center for Advanced Study of Human Paleobiology Department of Anthropology George Washington University Washington DC 20052, corresponding author), J Michael Plavcan (Department of Anthropology University of Arkansas Fayetteville AR 72701), Carol V Ward (0000-0001-6255-9668, Department of Pathology and Anatomical Sciences University of Missouri School of Medicine Columbia MO 65212)
Year2016
Volume160
Issue3
Pages529-548
Publication date2016-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Physical Anthropology (JOURNAL)
Journal identifiersISSN: 0002-9483 • E-ISSN: 1096-8644
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajpa.22990
PMID27088216
OpenAlexW2336278236
LanguageEN
Citations received15
References cited100

OBJECTIVES: The ability to reconstruct hip joint mobility from femora and pelves could provide insight into the locomotion and paleobiology of fossil primates. This study presents a method for modeling hip abduction in anthropoids validated with in vivo data. METHODS: Hip abduction simulations were performed on a large sample of anthropoids. The modeling approach integrates three-dimensional (3D) polygonal models created from laser surface scans of bones, 3D landmark data, and shape analysis software to digitally articulate and manipulate the hip joint. Range of femoral abduction (degrees) and the abducted knee position (distance spanned at the knee during abduction) were compared with published live animal data. RESULTS: The models accurately estimate knee position and (to a lesser extent) angular abduction across broad locomotor groups. They tend to underestimate abduction for acrobatic or suspensory taxa, but overestimate it in more stereotyped taxa. Correspondence between in vivo and in silico data varies at the specific and generic level. CONCLUSIONS: Our models broadly correspond to in vivo data on hip abduction, although the relationship between the models and live animal data is less straightforward than hypothesized. The models can predict acrobatic or stereotyped locomotor adaptation for taxa with values near the extremes of the range of abduction ability. Our findings underscore the difficulties associated with modeling complex systems and the importance of validating in silico models. They suggest that models of joint mobility can offer additional insight into the functional abilities of extinct primates when done in consideration of how joints move and function in vivo. Am J Phys Anthropol 160:529-548, 2016. © 2016 Wiley Periodicals, Inc

Biology · Computational biology · In silico · Computer Science · Evolution and Paleontology Studies · Genetics · Pleistocene-Era Hominins and Archaeology · Primate Behavior and Ecology

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